Report on the National Survey of Staff Experiences of Bullying in Irish Higher Education Institutions
Authors:
Dr. Angela Mazzone,
Mr. Éamon Jones,
Prof. Yseult Freeney &
Prof. James O’Higgins Norman
This report is published by DCU Anti-Bullying Centre (ABC), Dublin City University
ISBN 978-1-911669-37-1
Trigger Warning
This survey study investigated employees’ experiences of bullying in 20 publicly funded Irish Higher Education Institutions (HEIs). Please avail of the below support services in case the content of this report is distressing to you or makes you feel uncomfortable.
|
Service |
Phone |
Webpage |
| Text 50808 | Free 24/7 Support in a Crisis – Text “HELLO” to 50808 | https://text50808.ie/ |
| Samaritans | National Helpline – 116 123 | https://www.samaritans.org/ireland/samaritans-ireland/HSA |
| HSA | https://www.hsa.ie/eng/Workplace_Health/Bullying_at_Work/Are_you_being_… | |
| HSE | https://www2.hse.ie/wellbeing/mental-health/dealing-with-bullying-at-wo… | |
| Employee Assistance Programme (EAP) | If you need professional advice, please refer to your institution’s Employment Assistance Programme (EAP) for further support and counselling. If you are not registered with your institution’s EAP, or you are not sure if your institution has an EAP, please contact your Human Resources department for further information | |
| LGBT Ireland | National LGBT Helpline 1800 929 539 | 1800 929 539 https://lgbt.ie/ |
Preface
The following report has been prepared by Dublin City University (DCU) Anti-Bullying Centre (ABC), a national centre for education and research on bullying and online safety, for the Department of Further and Higher Education, Research, Innovation and Science. The main aim of this report is to investigate the prevalence of workplace bullying among staff members in higher education institutions (HEIs) in Ireland. ABC is a University designated research centre located in DCU Institute of Education, dedicated but not limited to researching bullying in different contexts, including the workplace, school and the cyberspace. The Centre was the first of its kind in Ireland to conduct research on different forms of bullying, including school bullying, workplace bullying, homophobic bullying and cyberbullying. The Centre works to solve the real-world issue of bullying and promote online safety through the extensive collaboration of academic, community and industry partnerships. ABC is an internationally renowned research centre and hosts the United Nations Educational, Scientific and Cultural Organisation (UNESCO) Chair on Tackling Bullying in Schools and Cyberspace.
Executive Summary
This report presents the findings of an anonymous online survey examining the prevalence and impact of workplace bullying among staff in 20 publicly funded Higher Education Institutions (HEIs) in Ireland. This survey study was commissioned by the Department of Further and Higher Education, Research, Innovation and Science. The survey included five sections covering: 1) Demographics and work arrangements; 2) Negative acts at work, bullying and cyberbullying; 3) Bystander behaviour; 4) Anti-bullying culture and awareness of anti-bullying policies; 5) Team psychological safety and work demands. A total of 3,835 HEI staff (11.5% of employees working in the HEIs that were invited to participate in this study) aged between 18 and 65+ (65.1% female, 31.7% male, 0.5% non-binary, 2.7% did not disclose their gender identity) engaged with the online survey. Data were collected during the COVID-19 pandemic. Thirty-point-five-percent (30.5%) of staff engaging with the survey was working remotely at the time of the data collection.
Findings showed that 28% of the sample occasionally (“now and then”) endured work-orientated negative acts (targeting someone’s professional standing) and 26% were subjected to person-orientated negative acts (targeting someone’s personal standing). An average of 32.9% respondents in the whole sample endured cyberbullying at work. After being prompted to read the bullying definition, about one third of respondents (33.5%) reported having been bullied at work in the past three years, with 70.6% of them having been bullied for several months. In the majority of cases, the perpetrator of bullying was a senior colleague (55%) or a peer (24.6%). Minority groups, such as LGBTQ+ respondents, ethnic minorities and respondents with a disability were more likely to endure negative acts at work, bullying and cyberbullying compared to majority groups (i.e., heterosexuals, ethnic majority groups and respondents with no disabilities). Managers were more likely to endure negative acts and cyberbullying at work compared to respondents who did not cover a managerial role. The rates of negative acts at work were comparable across respondents working in different work areas. However, academics in the field of Social Sciences and Business and Law and those who did not disclose their work area endured higher levels of negative acts and cyberbullying compared to respondents working in other areas. Interestingly, those who did not disclose their demographic information (gender, sexual orientation, ethnicity, work area) were more likely to endure negative acts at work, bullying and cyberbullying compared to those who disclosed their demographic information. These findings suggest that employees who endure bullying at work might be afraid of reporting their negative experiences even when data are collected anonymously.
Overall, enduring negative acts at work and cyberbullying had a negative impact on respondents’ mental health and wellbeing, with a slightly higher rate of female respondents and respondents belonging to minority groups reporting negative mood end emotions. Incidents of negative acts at work were witnessed occasionally (“now and then”) by 34.5% of respondents. Over one third of respondents (35.3%) indicated that they had witnessed bullying at work in the past three years, with 50.5% reporting that they had taken action when witnessing bullying. Witnessing bullying was detrimental for the mental health of respondents, with 36.6% of bystanders reporting that witnessing bullying had a negative impact on their mental health and wellbeing.
On a positive note, the majority of survey respondents (64.5%) were aware that their institution had an anti-bullying policy. However, only 20.8% of respondents agreed that the anti-bullying policy and procedures at their HEI contributed to effectively protecting all staff members. Finally, this survey assessed some organisational factors that might contribute to bullying, including pressure to produce, work-life balance and team psychological safety. Heavy workloads constituted an issue for a consistent proportion of the sample, with 35.8% of respondents agreeing that their workloads were very demanding and 34% reporting that their personal life suffered because of work. On a positive note, over a third of respondents (36.2%) reported that they felt valued in their work team and 47.6% agreed that members of their team can bring up problems and difficult issues.
Overall, findings of this survey study provide an overview of the bullying experiences endured by staff within HEIs in Ireland. Providing HEI staff with awareness raising initiatives and training opportunities, along with a sustained effort towards a more inclusive organisational culture are among the recommended strategies to tackle workplace bullying in HEIs.
1.1 Workplace Bullying in Higher Education
There are numerous definitions available for workplace bullying; however, for the purposes of this report we will adopt the workplace bullying definition set out by the Health and Safety Authority (HSA, 2021): “Workplace bullying can be defined as repeated inappropriate behaviour either direct or indirect, whether verbal, physical or otherwise, conducted by one or more persons against another or others, at the place of work and/or in the course of employment, which could reasonably be regarded as undermining the individual’s right to dignity at work. An isolated incident of the behaviour described in this definition may be an affront to dignity at work but a once-off incident is not considered to be bullying”.
Workplace bullying constitutes a serious impairment to creating a positive climate within higher education institutions (HEIs). A survey study conducted in Ireland towards the end of the 2000s showed that 14% of staff in Irish HEIs were bullied in the workplace (O’Connell et al., 2007). These figures are comparable to research conducted in other business sectors (Arenas et al., 2015).
The scientific literature highlights different instances of bullying behaviours within higher education settings, including overt negative acts such as verbal bullying, false accusations of mistakes and work misconduct, as well as covert behaviours, including manipulation, obstructive behaviour, excessive workload, ostracism and withholding important information that will affect employees’ performance (Pheko, 2018; Samnani, 2013; Yamada, 2008). Cyberbullying presents a new and challenging issue for the higher education sector. Cyberbullying can be defined as repeated and enduring negative behaviour in the workplace that occurs via technology (via email; on social media; Coyne et al., 2017). This phenomenon is characterised by some specific features, among which high accessibility to the target (employees can be targeted outside the workplace and after working hours), large potential audience, and anonymity of the perpetrator. For example, by sending an email or publicly posting a negative review of a lecturer teaching style on message boards and forums, the perpetrator can act anonymously, while having access to the target at all times, even outside of working hours (Cassidy, et al., 2014; 2017).
Complicated power dynamics might also increase the risk of being exposed to workplace bullying. Top-down bullying involves a supervisor bullying a subordinate; for example, a department chair bullying a member of the support staff. Horizontal bullying involves an employee bullying a peer; for instance, a lecturer bullying another lecturer. Bottom-up bullying involves a subordinate bullying a supervisor; for instance, a student perpetrating bullying acts against a lecturer. Although instances of top-down bullying are more frequently reported compared to bottom-up bullying incidents (De Cieri et al., 2019), previous research has identified a shifted power dynamic whereby employees with less formal power (i.e., associated with the hierarchy within HEIs) may attempt to exert control over a person with greater authority or status, e.g., student over lecturer (May & Tenzek, 2018). Finally, it should be noted that bullying does not merely represent a negative interaction between the target and the perpetrator. Bystander behaviour (the behaviour of those who witness bullying) is an integral part of the bullying experience and it has been shown to affect the dynamics and the potential (de)‐escalation of bullying at work (Paull et al., 2012).
Published research studies conducted in Irish HEIs are mainly based on interview data (Fahie, 2020; Hodgins & Mannix-McNamara, 2017; 2019; Rockett, 2015). These studies show that bullying in HEIs causes negative outcomes for the mental health and wellbeing of the bullied employees, while undermining their dignity and compromising their psychological safety (Fahie, 2020; Hodgins & Mannix-McNamara, 2019, 2021). Despite the knowledge generated by these studies, updated data regarding the prevalence of workplace bullying in Irish HEIs are missing. To fill this gap in our knowledge, a large-scale study was carried out between November and December 2021. This survey study has been commissioned by the Department of Further and Higher Education, Research, Innovation and Science. The study aims to:
- Establish the prevalence and impact of workplace bullying among survey respondents with different backgrounds in terms of gender, age, ethnicity, sexual orientation, disability, professional status and work areas. The survey study adopted two methods to assess bullying: The behavioural method and the self-labelling method (Nielsen et al., 2009). The behavioural method involves providing survey respondents with some examples of negative behaviours, which may occur in the workplace and asking them if they endured any of the negative behaviours within a specific timeframe (Einarsen et al., 2009). The self-labelled method involves providing survey respondents with a definition of bullying and asking them if they have experienced bullying at work within a specific timeframe (see Appendix).
- Establish the prevalence and impact of cyberbullying among survey respondents with different backgrounds in terms of gender, age, ethnicity, sexual orientation, disability, professional status and work areas.
- Investigate the professional status of the perpetrators of bullying and cyberbullying.
- Examine respondents’ experiences of witnessing bullying by adopting the two aforementioned methods (behavioural and self-labelling method).
- Examine bystanders’ response to bullying (employee voice versus silence).
- Investigate respondents’ perception of the anti-bullying culture at their institution and their awareness of the anti-bullying policies.
- Examine respondents’ work-life balance, pressure to produce and team psychological safety (individual perception to be working in a supportive team).
This report draws on the results of an anonymous survey conducted with a sample of employees working in Higher Education Institutions (HEIs) in Ireland. Twenty (20) publicly funded HEIs across Ireland were invited to participate in this study. Contact points in each of the 20 HEIs were given information concerning the objectives of this survey study which was then circulated to their employees. More information on the procedure can be found in the Appendix.
The survey consisted of five sections1 covering 1) Demographics and work-arrangements; 2) Negative acts at work, bullying and cyberbullying 3) Bystander behaviour; 4) Anti-bullying culture and awareness of anti-bullying policies; 5) Team psychological safety and work demands. Information on the instruments included in the survey can be found in the Appendix.
Section 1: Demographics and Work Arrangements
4. Results
A sample of 3,835 employees (11.5% of employees working in the HEIs participating in this survey study) aged between 18 and 65+ (65.1% female2, 31.7% male; 0.5% non-binary; 2.7% did not disclose their gender identity) filled out the online survey. Most respondents (82.8%) identified themselves as Irish; 12.2% belonged to another White ethnic group; 3% belonged to an ethnic minority3; 2% preferred not to disclose their ethnic group. Nine-point-two percent (9.2%) of survey respondents identified themselves as LGBTQ+4 (Lesbian, Gay, Bisexual, Transgender, Queer and other sexual orientations not listed in the survey). Four-point-seven percent (4.7%) of respondents reported a disability (see Table 1 for more details on the sample demographics).
|
Demographics |
n (%) |
Demographics |
n (%) |
| Completion rate | Sex assigned at birth | ||
| Incomplete surveys Complete surveys |
621 (16.2%) 3214 (83.8%) |
Female Male Prefer not to say |
2517 (65.6%) 1232 (32.1%) 86 (2.2%) |
| Gender Identity | Is your gender the same as assigned at birth? | ||
| Female Male Non-binary Prefer not to say |
2495 (65.1%) 1217 (31.7%) 21 (0.5%) 102 (2.7%) |
Yes No Prefer not to say |
3717 (96.9%) 19 (0.5%) 99 (2.6%) |
| Age range | Ethnicity | ||
| 18-24 25-34 35-44 45-54 55-64 65+ Prefer not to say |
36 (0.9%) 368 (9.6%) 1004 (26.2%) 1456 (38%) 832 (21.7%) 57 (1.5%) 82 (2.1%) |
Chinese Indian/Pakistan/Bangladeshi Any other Asian background African Any other Black background Arabic Mixed background Other Irish Irish Traveller Roma Any other White background Prefer not to say |
13 (0.3%) 29 (0.8%) 16 (0.4%) 9 (0.2%) 1 (0.0%) 3 (0.1%) 22 (0.6%) 16 (0.4%) 3164 (82.8%) 2 (0.1%) 4 (0.1%) 465 (12.2%) 78 (2%) |
| Sexual orientation | Do you have a disability? | ||
| Asexual Bisexual Gay Heterosexual Lesbian Queer A sexual orientation not listed Prefer not to say |
76 (2%) 111 (2.9%) 97 (2.6%) 3165 (83.9%) 30 (0.8%) 24 (0.6%) 10 (0.3%) 261 (6.9%) |
Yes No Prefer not to say |
179 (4.7%) 3181 (84.3%) 414 (11%) |
|
Demographics |
n (%) |
Demographics |
n (%) |
| What is your main area of work/disciplinary area | On what contractual basis are you currently employed | ||
| Academic: Arts, Humanities, Social Sciences Academic: Business and Law Academic: Science, Technology, Engineering, Mathematics Academic: Medicine and Health Research Centre/Institution Research Fellow Professional, Managerial and Support Services Technical Support Other Prefer not to say |
779 (21.1%) 272 (7.4%) 623 (16.9%) 197 (5.3%) 123 (3.3%) 40 (1.1%) 1234 (33.4%) 186 (5%) 177 (4.8%) 63 (1.7%) |
Full-time permanent contract Are you managing other staff members? Yes |
2724 (72.9%)
1223 (33.1%)
|
| What is your current role/grade pay? | How long have you been in your current role? | ||
| Over €130,000 €115,000-€129,999 €100,000-€114,999 €75,000-€99,999 €60,000-€74,999 €45,000-€59,999 €30,000-€44,999 €15,000-€29,999 Less than €14,999 Prefer not to say |
94 (2.5%) 65 (1.8%) 178 (4.8%) 972 (26.3%) 537 (14.5%) 859 (23.3%) 571 (15.5%) 177 (4.8%) 79 (2.1%) 162 (4.4%) |
< 1 year 1-5 years 6-10 years 11-15 years 16 years or more Prefer not to say |
496 (14%) 1292 (36.3%) 547 (15.4%) 394 (11.1%) 776 (21.8%) 50 (1.4%) |
- In terms of work arrangements, during the Covid-19 lockdowns, over one third of respondents engaged with their colleagues online (35.8%); this rate was nearly unchanged at the time of the survey study (30.5%). Only a small proportion of respondents engaged with other colleagues offline during the lockdowns (7%) and at the time of data collection (6.2%). Blended work arrangements were a common option both during the lockdowns (23%) and at the time of the survey study (48.5%). See figure 1 for a detailed breakdown.
Figure 1. Respondent Engagement with Colleagues During the Lockdown and at the Time of Data Collection
- In terms of staff engagement with students, blended lectures were a common option during the lockdowns (21.8%) and at the time of the survey study (38.3%). Only 5.6% of lecturers engaged with students offline during the lockdowns. This percentage was higher at the time of the data collection (18.2%). See Figure 2 for a detailed breakdown.
Figure 2. Respondent Engagement with Students During the Lockdown and at the Time of the Survey

SECTION 2: Negative Acts at Work, Bullying and Cyberbullying
Respondents were asked if they endured any negative acts at work in the past three years, including any periods of remote working. The survey assessed both work-orientated negative acts (targeting an employee’s professional status, such as professional discredit and denigration) and person-orientated negative acts (targeting an employee’s personal standing). Table 3 shows the prevalence of work-orientated negative acts (bullying victimisation) in the overall sample, and the breakdown for different demographics.
- Overall, 28% of respondents (on average5) experienced work-orientated negative acts “now and then”. Monthly (5.2%), weekly (5.1%) and daily (2%) work-orientated negative acts were less common.
- On average, 26% of respondents reported experiencing person-orientated negative acts “now and then”, whereas only a small proportion of respondents were subjected to these negative acts monthly (3.9%), weekly (3.5%) and daily (2.2%).
- In terms of work-orientated negative acts, “Being withheld important information” affecting the respondents’ performance was experienced more frequently compared to the other work-orientated negative acts. In terms of person-orientated negative acts, “Being ignored and excluded” and “Being ignored or facing a hostile reaction when approaching someone at work” were reported more frequently than the other person-orientated negative acts.
The prevalence of both work-orientated and person-orientated negative acts were similar across respondents who identified themselves respectively as females and males.
- On average, 28.4% of female respondents experienced work-orientated negative acts “now and then”, whereas only a small proportion of female employees endured these negative acts monthly (4.9%), weekly (5%) and daily (2%).
- Person-orientated negative acts were experienced by an average of 26.5% of female. Monthly (3.5%), weekly (3.5%), and daily (1.8%) person-orientated negative acts were experienced only by a small proportion of female respondents.
- On average, 19.6% of male respondents experienced work-orientated negative acts “now and then”, whereas only a small proportion of males experienced this monthly (5.5%), weekly (5%) and daily (1.7%).
- In terms of person-orientated negative acts, an average of 25.5% of male respondents experienced these “now and then”. Again, monthly (4%) weekly (3.5%) and daily (1.5%) person-orientated negative acts were experienced by a small proportion of male respondents.
- For both, male and female respondents the most common negative acts involved having someone withholding important information which affected their performance (work-orientated negative acts) and being ignored and excluded (person-orientated negative acts).
- Only 16 non-binary respondents filled out the instrument assessing negative acts at work. On average, 29.2% of them were subjected to work-orientated negative acts “now and then”, and a relatively small proportion experienced these negative acts monthly (4.2%), weekly (12.5%) and daily (4.2%).
- In terms of person-orientated negative acts, on average 29.4% of non-binary respondents reported that these negative acts occurred to them “now and then”, whereas a small proportion experienced these negative acts monthly (2.1%), weekly (1%) and daily (6.3%).
- Only 81 people did not disclose their gender. This subgroup reported slightly higher levels of occasional work-orientated negative acts compared to respondents who disclosed their gender, with 34.1% of respondents enduring this “now and then”. Monthly (11.5%) weekly (9.5%) and daily (5.3%) work-orientated negative acts were more common among non-binary respondents, compared to male and female respondents.
- Person-orientated negative acts were experienced “now and then” by 29.4% of respondents who did not disclose their gender; 8.4% experienced this monthly; 6% weekly and 6.4% daily. Again, having important information withheld and being ignored and excluded were common experiences among respondents who did not disclose their gender.
- Significant statistical differences were found among respondents with different gender identities. Respondents who did not disclose their gender identity reported higher levels of negative acts at work6 compared to both females and males (see Appendix).
- On average, 27.6% of heterosexual respondents endured work-orientated negative acts occasionally (“now and then”), whereas monthly (4.9%), weekly (4.9%) and daily (4.3%) work-orientated negative acts were experienced by a small proportion of the sample.
- Person-orientated negative acts were experienced “now and then” by 25.8% of heterosexual respondents. Again, monthly (3.6%), weekly (3.3%) and daily (1.9%) person-orientated negative acts were endured by a small proportion of heterosexual respondents.
- In terms of the experiences of LGBTQ+ respondents, work-orientated negative acts were endured “now and then” by 26.9% of respondents, whereas a small proportion of respondents endured these on a monthly (6.1%), weekly (2.9%) and daily basis (2.9%).
- Incidents of person-orientated negative acts were reported “now and then” by 25% of LGBTQ+ respondents, with only a small proportion of respondents enduring these negative acts monthly (4.5%), weekly (4%), and daily (3.1%).
- Respondents who did not disclose their sexual orientation reported slightly higher levels of occasional work-orientated negative acts compared to respondents who disclosed their sexual orientation, with an average of 34.6% respondents enduring this “now and then”. Moreover, they reported slightly higher rates of monthly (8.3%), weekly (6.2%) and daily (5%) work-orientated negative acts compared to those who disclosed their sexual orientation.
- Person-orientated negative acts were experienced “now and then” by 31.7% of respondents who did not disclose their sexual orientation. Monthly (5.7%), weekly (4.9%) and daily (5.3%) person-orientated negative acts were experienced by a small proportion of respondents who did not disclose their sexual orientation.
- Significant statistical differences were found among respondents with different sexual orientations. LGBTQ+ respondents experienced higher levels of negative acts at work compared to heterosexuals. Those who did not disclose their sexual orientation experienced higher levels of negative acts at work compared to both heterosexuals and to LGBTQ+ respondents (see Appendix).
- On average, 28% of Irish respondents reported being subjected to work-orientated negative acts “now and then”. Monthly (5.2%), weekly (5%) and daily (1.8%) work-orientated negative acts were experienced by a small proportion of Irish respondents.
- An average of 28% of Irish respondents reported enduring person-orientated negative acts “now and then”. Person-orientated negative acts were experienced by a small proportion of Irish respondents on a monthly (3.7%), weekly (3.3%) and daily basis (2%).
- An average of 28.8% respondents with a White background endured work-orientated negative acts at work “now and then. Again, only a small proportion of respondents who identified themselves as White endured these negative acts monthly (4.2%), weekly (5%) and daily (1.6%).
- Person-orientated negative acts were endured “now and then” by 25.3% of respondents with any other White background. Monthly (3.7%), weekly (3.5%) and daily (1.4%) negative acts were experienced by a small proportion of White respondents.
- An average of 28.8% respondents who identified themselves with an ethnic minority endured negative acts at work “now and then”. Only a small proportion of respondents belonging to an ethnic minority endured these negative acts on a monthly (5.8%), weekly (4.8%) and daily (6.2%) basis.
- Moreover, findings showed that, 24.7% of respondents belonging to an ethnic minority group endured person-orientated negative acts “now and then”, whereas monthly (6%), weekly (6.2%) and daily (6.5%) person-orientated negative acts were less common.
- On average, 29% of respondents who did not disclose their ethnicity endured work-orientated negative acts “now and then”. These respondents reported slightly higher rates of work-orientated negative on a monthly (11.3%), weekly (11.3%) and daily (9.7%) basis compared to those who disclosed their ethnicity.
- On average, 28.5% of those who did not disclose their ethnicity reported that they experienced person-orientated negative acts “now and then”. A higher rate of those who did not disclose their ethnicity reported experiencing person-orientated negative acts monthly (7.8%), weekly (9.4%) and daily (10.5%) compared to respondents who disclosed their ethnicity.
- Significant statistical differences were found among respondents with different ethnic identities. Respondents who identified themselves as belonging to an ethnic minority group endured higher levels of negative acts at work compared to both Irish respondents and to respondent with any other White background. Respondents who did not disclose their ethnicity were significantly more likely to report higher scores in terms of negative acts at work compared to all other ethnic groups (see Appendix).
- On average, 33.1% of respondents with a disability reported enduring work-orientated negative acts “now and then”. Monthly (8.3%), weekly (8.5%) and daily (6.1%) work-orientated negative acts were reported by a small proportion of respondents with a disability.
- In terms of person-orientated negative acts, a larger proportion of respondents with a disability reported enduring these negative acts “now and then” (26.1%), whereas a smaller proportion were subjected to person-orientated negative acts monthly (5.8%), weekly (5.5%) and daily (5%).
- On average, occasional (“now and then”) work-orientated negative acts were reported by 27.1% of respondents with no disabilities. Monthly (4.9%), weekly (4.7%) and daily (1.7%) negative acts were less common.
- An average of 21% of respondents with no disabilities reported enduring person-orientated negative acts “now and then”. A small proportion of respondents who did not report any disabilities endured person-orientated negative acts monthly (3.5%), weekly (2.9%) and daily (2.1%).
- Significant statistical differences were found between respondents with and without a disability. Respondents having a disability endured higher levels of negative acts at work compared to those with no disabilities (see Appendix).
-
Table 3. Prevalence of Work-Orientated Negative Acts across Different Groups Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student?
Never
Now and Then
Monthly
Weekly
Daily
Someone withholding information which affects your performance
Overall 38.9%
41.5%
7.3%
8.7%
3.6%
Female 39.7%
41.8%
6.6%
8.4%
3.5%
Male 39.2%
41%
7.9%
8.5%
3.4%
Non-Binary 31.3%
37.5%
0%
25%
6.3%
Gender identity undisclosed 14.8%
39.5%
19.8%
17.3%
8.6%
Heterosexual 39.7%
41.6%
6.9%
8.5%
3.4%
LGBTQ+ 41.8%
38.1%
6.5%
10.2%
3.4%
Sexual orientation undisclosed 23.4%
44.9%
14%
10.3%
7.5%
Disability 29.3%
40.2%
6.7%
14.6%
9.1%
No disability 40.9%
41.1%
6.9%
8.1%
3%
Irish 39.1%
41.9%
7.1%
8.6%
3.3%
Any other White background 40.2%
41.8%
6.9%
8.3%
2.8%
Ethnic Minority 39.2%
38.1%
4.1%
9.3%
9.3%
Ethnicity undisclosed 21%
25.8%
22.6%
16.1%
14.5%
Repeated reminders of your errors or mistakes
Overall 68.9%
23.1%
3.9%
3.1%
1%
Female 68.8%
23.6%
3.5%
3.1%
1.1%
Male 70.4%
21.4%
4.4%
3%
0.8%
Non-Binary 62.5%
25%
6.3%
6.3%
0%
Gender identity undisclosed 50.6%
33.3%
7.4%
4.9%
3.7%
Heterosexual 70.5%
22.5%
3.5%
2.8%
0.7%
LGBTQ+ 62.8%
22.9%
6.8%
4.6%
2.8%
Sexual orientation undisclosed 55.1%
31.8%
4.7%
5.1%
3.3%
Disability 52.4%
29.9%
7.9%
4.9%
4.9%
No disability 70.8%
22.1%
3.7%
2.7%
0.8%
Irish 69.2%
23%
3.9%
3%
0.9%
Any other White background 70.9%
22.6%
2.8%
3.2%
0.5%
Ethnic Minority 63.9%
24.7%
5.2%
2.1%
4.1%
Ethnicity undisclosed 45.2%
32.3%
6.5%
9.7%
6.5%
Persistent criticism of your work and effort
Overall 71%
19.4%
4.5%
3.5%
1.5%
Female 70.5%
19.9%
4.6%
3.4%
1.6%
Male 73.5%
17.7%
4.3%
3.5%
1%
Non-Binary 56.3%
25%
6.3%
6.3%
6.3%
Gender identity undisclosed 53.1%
29.6%
7.4%
6.2%
3.7%
Heterosexual 72.3%
18.8%
4.4%
3.3%
1.2%
LGBTQ+ 67.2%
19.8%
5%
5.6%
2.5%
Sexual orientation undisclosed 59.3%
27.1%
6.1%
3.3%
4.2%
Disability 50%
29.3%
10.4%
6.1%
4.3%
No disability 73.3%
18.1%
4.1%
3.3%
1.2%
Irish 71.7%
19%
4.7%
3.4%
1.2%
Any other White background 71.8%
20.1%
2.8%
3.7%
1.6%
Ethnic Minority 59.8%
23.7%
8.2%
3.1%
5.2%
Ethnicity undisclosed 50%
29%
4.8%
8.1%
8.1%
Note: Nfemale=2258; Nmale=1103; Nnon-binary=16; Ngender undisclosed=81; Nheterosexual=2921; NLGBTQ+=323; Nsexual orientation undisclosed=214; Ndisability=164 ; Nno disability=2943; NIrish= 2866; NWhite background= 433; NEthnic minority=97; Nethnicity undisclosed=62 -
Table 4. Prevalence of Person-Orientated Negative Acts Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student?
Never
Now and Then
Monthly
Weekly
Daily
Being ignored or excluded
Overall 38.5%
40.1%
7.3%
8.2%
6%
Female 39.7%
41.8%
6.6%
8.4%
3.5%
Male 39.2%
41%
7.9%
8.5%
3.4%
Non-Binary 31.3%
50%
0%
6.3%
12.5%
Gender identity undisclosed 19.8%
39.5%
11.1%
12.3%
17.3%
Heterosexual 39.2%
40.2%
7%
8.1%
5.4%
LGBTQ+ 41.2%
36.8%
8%
7.1%
6.8%
Sexual orientation undisclosed 23.8%
43.5%
9.8%
10.3%
12.6%
Disability 27.4%
41.5%
6.7%
12.2%
12.2%
No disability 40.3%
39.9%
6.9%
7.4%
5.5%
Irish 38.8%
40.6%
7.3%
7.9%
5.5%
Any other White background 39.7%
40%
6.5%
9.7%
4.2%
Ethnic Minority 37.1%
32%
9.3%
7.2%
14.4%
Ethnicity undisclosed 17.7%
32.3%
9.7%
14.5%
25.8%
Being ignored or facing a hostile reaction when you approach someone at work
Overall 52.5%
33.4%
6.5%
4.9%
2.7%
Female 51%
35.1%
6.1%
4.9%
2.9%
Male 56.6%
30.5%
6.3%
4.7%
1.9%
Non-Binary 56.3%
31.3%
6.3%
0%
6.3%
Gender identity undisclosed 39.5%
27.2%
18.5%
6.2%
8.6%
Heterosexual 53.3%
33.6%
6.2%
4.6%
2.4%
LGBTQ+ 52.6%
31.6%
6.5%
6.5%
2.8%
Sexual orientation undisclosed 42.5%
34.1%
10.7%
6.1%
6.5%
Disability 41.5%
32.3%
8.5%
10.4%
7.3%
No disability 54%
33.2%
6%
4.5%
2.4%
Irish 52.3%
34.5%
6.1%
4.7%
2.5%
Any other White background 57.7%
28.9%
7.6%
4.4%
1.4%
Ethnic Minority 49.5%
26.8%
7.2%
10.3%
6.2%
Ethnicity undisclosed 33.9%
25.8%
16.1%
8.1%
16.1%
Note: Nfemale=2258; Nmale=1103; Nnon-binary=16; Ngender undisclosed=81; Nheterosexual=2921; NLGBTQ+=323; Nsexual orientation undisclosed=214; Ndisability=164 ; Nno disability=2943; NIrish= 2866; NWhite background= 433; NEthnic minority=97; Nethnicity undisclosed=62 -
Table 5. Prevalence of Person-Orientated Negative Acts Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student?
Never
Now and Then
Monthly
Weekly
Daily
Spreading gossip and rumours about you
Overall 61.7%
29.8%
3.2%
3.3%
2%
Female 6.3.5%
28.8%
2.9%
2.7%
2%
Male 59.2%
31%
3.6%
4.4%
1.8%
Non-Binary 56.3%
32.5%
0%
0%
6.3%
Gender identity undisclosed 44.4%
39.5%
4.9%
7.4%
3.7%
Heterosexual 62.4%
29.6%
3%
3.1%
1.8%
LGBTQ+ 63.8%
25.1%
3.7%
4.3%
3.1%
Sexual orientation undisclosed 47.7%
39.3%
4.7%
4.7%
3.7%
Disability 33.5%
6.7%
6.7%
3%
6.7%
No disability 28.5%
3.1%
2.9%
1.8%
2.9%
Irish 62.5%
39.8%
3%
2.9%
1.8%
Any other White background 62.6%
29.6%
3.5%
3.2%
1.2%
Ethnic Minority 52.6%
25.8%
5.2%
8.2%
8.2%
Ethnicity undisclosed 32.3%
40.3%
6.5%
14.5%
6.5%
Having insulting or offensive remarks made about your person, attitudes or private life
Overall 72.4%
21.4%
2.9%
2.2%
1.2%
Female 72%
21.8%
2.8%
2.3%
1.1%
Male 74.3%
20.1%
2.6%
1.9%
1%
Non-Binary 68.8%
18.8%
6.3%
0%
6.3%
Gender identity undisclosed 56.8%
27.2%
7.4%
4.9%
3.7%
Heterosexual 74.2%
20.5%
2.6%
2.1%
0.7%
LGBTQ+ 67.2%
22.6%
5.3%
1.9%
3.1%
Sexual orientation undisclosed 55.6%
32.2%
3.3%
4.7%
4.2%
Disability 54.3%
32.9%
7.3%
3.7%
1.8%
No disability 74.6%
20.1%
2.5%
1.9%
0.9%
Irish 73.2%
21.1%
2.8%
2%
1%
Any other White background 73.2%
21.7%
2.8%
1.6%
0.7%
Ethnic Minority 55.7%
27.8%
5.2%
6.2%
5.2%
Ethnicity undisclosed 53.2%
24.2%
4.8%
11.3%
6.5%
Being shouted at or being the target of someone’s spontaneous rage
Overall 69.8%
25.7%
2.2%
1.6%
0.8%
Female 68.8%
26.5%
2.1%
1.9%
0.7%
Male 72.7%
23.6%
2.1%
0.9%
0.7%
Non-Binary 56.3%
37.5%
0%
0%
6.3%
Gender identity undisclosed 58%
23.1%
4.9%
2.5%
2.5%
Heterosexual 70.8%
25.2%
2.1%
1.4%
0.5%
LGBTQ+ 65.3%
27.9%
2.5%
2.5%
1.9%
Sexual orientation undisclosed 61.7%
30.4%
2.8%
2.8%
2.3%
Disability 59.1%
34.8%
2.4%
3%
0.6%
No disability 71.2%
24.7%
2.1%
1.4%
0.6%
Irish 69.9%
25.7%
2.3%
1.5%
0.7%
Any other White background 72.5%
24.9%
0.7%
1.4%
0.5%
Ethnic Minority 69.1%
21.6%
4.1%
3.1%
2.1%
Ethnicity undisclosed 43.5%
40.3%
4.8%
6.5%
4.8%
Practical jokes carried out by people you don’t get along with
Overall 92%
5.9%
1%
0.7%
0.5%
Female 93%
5.1%
0.8%
0.6%
0.5%
Male 90.7%
7%
1.4%
0.6%
0.4%
Non-Binary 93.8%
6.3%
0%
0%
0%
Gender identity undisclosed 80.2%
11.1%
3.7%
2.5%
2.5%
Heterosexual 92.8%
5.5%
0.9%
0.5%
0.3%
LGBTQ+ 90.4%
5.9%
0.9%
1.9%
0.9%
Sexual orientation undisclosed 83.2%
10.7%
2.8%
0.9%
2.3%
Disability 86.6%
8.5%
3%
0.6%
1.2%
No disability 93.1%
5.2%
0.7%
0.6%
0.3%
Irish 92.9%
5.4%
0.8%
0.6%
0.4%
Any other White background 91%
6.7%
1.2%
0.9%
0.2%
Ethnic Minority 75.3%
14.4%
5.2%
2.1%
3.1%
Ethnicity undisclosed 82.3%
8.1%
4.8%
1.6%
3.2%
Note: Nfemale=2258; Nmale=1103; Nnon-binary=16; Ngender undisclosed=81; Nheterosexual=2921; NLGBTQ+=323; Nsexual orientation undisclosed=214; Ndisability=164 ; Nno disability=2943; NIrish= 2866; NWhite background= 433; NEthnic minority=97; Nethnicity undisclosed=62
- The 45-54 age group was more likely to experience occasional work-orientated negative acts compared to the other age groups, with an average of 31.1% respondents in this age group experiencing this “now and then”. Respondents in the 55-64 age group also reported high rates of occasional work-orientated negative acts, with 28% of respondents in this age group experiencing these negative behaviours, followed by respondents in the 35-44 age group (27.8%) and by those in the 65+ and 25-34 age groups (respectively 22.4% and 20.5%). Respondents in the 18-24 age group were less likely to experience these negative acts “now and then” (8.5%) compared to the other age groups. However, it should be noted that only 31 respondents in the 18- 24 age group filled out the instrument assessing negative acts at work, which makes this group hardly comparable to the other age groups. Monthly, weekly, and daily work-orientated negative acts were experienced by a small proportion of respondents across all age groups.
-
Table 6. Prevalence of Work-Orientated Negative Acts across Different Age Groups Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student?
Never
Now and Then
Monthly
Weekly
Daily
Someone withholding information which affects your performance
18-24
74.2%
12.9%
3.2%
6.5%
3.2%
25-34
51.6%
31.6%
7.5%
6.6%
2.8%
35-44
37.3%
41.9%
7.5%
8.9%
4.4%
45-54
35.4%
43.7%
7.5%
10%
3.4%
55-64
41.5%
42.9%
6%
6.8%
2.7%
65+
44.9%
40.8%
6.1%
4.1%
4.1%
Repeated reminders of your errors or mistakes
18-24
87.1%
6.5%
0%
6.5%
0%
25-34
72.2%
17.8%
4.1%
4.4%
1.6%
35-44
69.6%
21.9%
4%
3.3%
1.2%
45-54
66.5%
28%
3.8%
2.8%
0.9%
55-64
71.6%
22.1%
3.4%
2.4%
0.5%
65+
81.6%
16.3%
0%
2%
0%
Persistent criticism of your work and effort
18-24
87.1%
6.5%
3.2%
3.2%
0%
25-34
75.6%
12.2%
5.3%
5.3%
1.6%
35-44
71.6%
19.5%
3.3%
4.1%
1.5%
45-54
68.6%
21.6%
5.4%
3.1%
1.3%
55-64
72.9%
19%
4.2%
2.6%
1.3%
65+
87.8%
10.2%
0%
0%
2%
Note: N18-24=31; N25-34=320; N35-44=907; N45-54=1326; N55-64=764; N65+=49 - Person-orientated negative acts were experienced by 28.3% of the 45-54 age group occasionally (“now and then”), followed by the 55-64 age group (26.7%), the 35-44 age-group (25.2%), and by the 65+ age group (23.8%). The 18-24 and the 25-34 age groups were less likely to experience person-orientated negative acts “now and then” (respectively 10.2% and 18.5%). Again, monthly, weekly, and daily person-orientated negative acts were experienced by a small proportion of respondents across all age groups.
- Significant statistical differences were found between respondents aged 45-54 and those aged 18-24 and 25-34, with the former enduring higher levels of negative acts at work (see Appendix).
-
Table 7. Prevalence of Person-Orientated Negative Acts across Different Age Groups (social exclusion items) Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student?
Never
Now and Then
Monthly
Weekly
Daily
Being ignored or excluded
18-24
61.3%
25.8%
3.2%
9.7%
0%
25-34
53.8%
31.3%
5.3%
6.9%
2.8%
35-44
38.4%
41.6%
7.3%
8%
4.7%
45-54
35.9%
41.1%
7.2%
9.4%
5.6%
55-64
37.2%
41.5%
7.9%
6.9%
6.5%
65+
40.8%
40.8%
8.2%
4.1%
6.1%
Being ignored or facing a hostile reaction when you approach someone at work
18-24
80.6%
9.7%
9.7%
0%
0%
25-34
62.8%
25.3%
5.3%
5%
1.6%
35-44
54.5%
31.4%
6.6%
4.3%
3.2%
45-54
49.2%
36%
6.7%
5.8%
2.3%
55-64
52.1%
35.6%
5.5%
4.1%
2.7%
65+
57.1%
32.7%
6.1%
2%
2%
Note: N18-24=31; N25-34=320; N35-44=907; N45-54=1326; N55-64=764; N65+=49 -
Table 8. Prevalence of Person-Orientated Negative Acts across Different Age Groups Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student?
Never
Now and Then
Monthly
Weekly
Daily
Spreading gossip and rumours about you
18-24
87.1%
9.7%
0%
3.2%
0%
25-34
74.7%
17.2%
1.6%
4.7%
1.9%
35-44
64.8%
26.9%
3.5%
2.5%
2.2%
45-54
56.8%
34%
3.5%
3.8%
1.9%
55-64
61.8%
31%
2.6%
2.7%
1.8%
65+
63.3%
34.7%
0%
0%
2%
Having insulting or offensive remarks made about your person, attitudes or private life
18-24
87.1%
9.7%
0%
3.2%
0%
25-34
74.7%
17.2%
1.6%
4.7%
1.9%
35-44
64.8%
26.9%
3.5%
2.5%
2.2%
45-54
56.8%
34%
3.5%
3.8%
1.9%
55-64
61.8%
31%
2.6%
2.7%
1.8%
65+
63.3%
34.7%
0%
0%
2%
Being shouted at or being the target of someone’s spontaneous rage
18-24
39.5%
6.5%
0%
0%
0%
25-34
79.4%
15.3%
1.9%
2.8%
0.6%
35-44
70.7%
24.5%
2.3%
1.7%
0.9%
45-54
66.8%
29.3%
2.1%
1.3%
0.5%
55-64
70.4%
25.5%
2%
1.4%
0.7%
65+
79.6%
16.3%
2%
0%
2%
Practical jokes carried out by people you don’t get along with
18-24
100%
0%
0%
0%
0%
25-34
91.6%
5%
0.3%
1.9%
1.3%
35-44
92.5%
5.2%
1%
0.7%
0.7%
45-54
92.1%
6%
1.2%
0.5%
0.2%
55-64
92.5%
6.4%
0.4%
0.3%
0.4%
65+
93.9%
4.1%
2%
0%
0%
Note: N18-24=31; N25-34=320; N35-44=907; N45-54=1326; N55-64=764; N65+=49
- On average, 30.5% of managers endured work-orientated negative acts “now and then”. Monthly (6.5%), weekly (5.1%) and daily (1.9%) work-orientated negative acts were experienced respectively by a small proportion of respondents with managerial duties.
- In terms of person-orientated negative acts, these were experienced “now and then” by 29% of managers, whereas a small proportion of respondents in this group reported enduring monthly (3.9%), weekly (4%) and daily (1.8%) person-orientated negative acts.
- On average, 26.8% of respondents who did not cover a managerial role reported enduring work-orientated negative acts “now and then”. Frequent work-orientated negative acts were uncommon, with only a small proportion of respondents with no managerial role experiencing these on a monthly (5.4%), weekly (5.1%) and daily basis (2.1%).
- Person-orientated negative acts were endured “now and then” by 24.6% of respondents with a non-managerial role. Monthly (3.6%), weekly (3.4%) and daily (2.4%) negative acts were again less common.
- Significant statistical differences were found between respondents with and without a managerial role, with managers enduring higher levels of negative acts at work compared to those with no managerial duties (see Appendix).
-
Table 9. Prevalence of Negative Acts at Work Among Respondents with Managerial and Non-managerial roles Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student?
Never
Now and Then
Monthly
Weekly
Daily
Someone withholding information which affects your performance
Managerial role 32.6%
44.6%
9.8%
9.5%
3.7%
Non-managerial role 42%
40%
8.4%
8.4%
3.6%
Repeated reminders of your errors or mistakes
Managerial role 66.5%
25.6%
4.4%
2.5%
1%
Non-managerial role 70%
21.9%
3.6%
3.4%
1%
Persistent criticism of your work and effort
Managerial role 69.2%
21.3%
5.2%
3.3%
1%
Non-managerial role 71.9%
18.5%
4.2%
3.6%
1.8%
Being ignored or excluded
Managerial role 35.5%
24.9%
8.2%
8.7%
4.7%
Non-managerial role 39.9%
38.7%
6.8%
7.9%
6.6%
Being ignored or facing a hostile reaction when you approach someone at work
Managerial role 48.3%
38%
6.5%
4.9%
2.3%
Non-managerial role 54.7%
31.1%
6.5%
4.9%
2.9%
Spreading gossip and rumours about you
Managerial role 56%
34.6%
3.4%
4.2%
1.8%
Non-managerial role 64.5%
27.4%
3.1%
2.9%
2.1%
Having insulting or offensive remarks made about your person, attitudes or private life
Managerial role 71.1%
22.6%
2.3%
3%
0.9%
Non-managerial role 73%
20.8%
2.2%
2.2%
1.3%
Being shouted at or being the target of someone’s spontaneous rage
Managerial role 65.1%
29.7%
1.6%
2.8%
0.9%
Non-managerial role 72.1%
23.8%
1.9%
1.6%
0.7%
Practical jokes carried out by people you don’t get along with
Managerial role 91.8%
6.2%
1.1%
0.6%
0.3%
Non-managerial role 92%
5.7%
1%
0.7%
0.6%
Note: Nmanagers=1149; Nnon-managers=2309
- An average of 30.7% academics in the field of Arts, Humanities, Social Sciences and Business and Law (AHSS-BL) reported enduring occasional (“now and then”) work-orientated negative acts at work, followed by respondents who did not disclose their work area or worked in an area not listed in the survey (30%), and by respondents employed in the Professional, Managerial and Support Services and Technical Support areas (Professional/Technical; 27.2%). Moreover, 26% academics in the Science, Technology, Engineering, Mathematics and Medicine and Health (STEM-MH) and 25% of respondents employed as research fellows or working in a Research Centre/Institute reported enduring work-orientated negative acts “now and then”. The rates for monthly, weekly and daily work-orientated negative acts were lower across all work areas (Table 10).
- Respondents working in the AHSS-BL area endured the highest rates of occasional (“now and then”) person-orientated negative acts (28% on average), followed by respondents in the Professional/Technical field (26% on average) and by those who did not disclose their work area or were employed in an area not listed in the survey (25.2%). Moreover, 25% of the STEM-MH respondents endured person-orientated negative acts “now and then”, followed by 21.1% of those working as research fellows or employed in a Research Centre. Monthly, weekly, and daily person-orientated negative acts were reported by small proportions of respondents in all work areas (Table 11).
- Significant statistical differences were found among respondents working in different areas. Respondents in the AHSS-BL area and those who did not disclose their work area reported higher levels of negative acts at work compared to respondents in the Professional/Technical Area (see Appendix).
|
Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student? |
|||||
|
Never |
Now and Then |
Monthly |
Weekly |
Daily |
|
|
Someone withholding information which affects your performance |
|||||
| AHSS-BL |
36.4% |
44% |
8% |
8.4% |
3.1% |
| STEM-MH |
41.8% |
40.4% |
7.3% |
7.9% |
2.6% |
| Research |
43.1% |
38.6% |
5.9% |
9.2% |
3.3% |
| Professional/Technical |
39.3% |
40.3% |
7.1% |
9.6% |
3.8% |
| Prefer not to say/Other |
34% |
43.3% |
5.4% |
7.9% |
9.4% |
|
Repeated reminders of your errors or mistakes |
|||||
| AHSS-BL |
66.4% |
26% |
4.1% |
2.1% |
1.4% |
| STEM-MH |
71.9% |
20.3% |
4.2% |
2.6% |
0.9% |
| Research |
67.3% |
20.9% |
3.3% |
6.5% |
2% |
| Professional/Technical |
70.1% |
22.6% |
3.2% |
3.2% |
0.9% |
| Prefer not to say/Other |
62.1% |
25.1% |
6.4% |
6.4% |
0% |
|
Persistent criticism of your work and effort |
|||||
| AHSS-BL |
68.1% |
22.1% |
5.2% |
3.2% |
1.4% |
| STEM-MH |
73% |
17.5% |
4.8% |
3.1% |
1.7% |
| Research |
70.6% |
15.7% |
5.2% |
5.2% |
3.3% |
| Professional/Technical |
72.9% |
18.7% |
3.6% |
3.5% |
1.3% |
| Prefer not to say/Other |
66% |
21.7% |
5.9% |
4.9% |
1.5% |
| Note: AHSS-BL= Arts, Humanities, Social Sciences and Business and Law (N=996); STEM-MH: Science, Technology, Engineering, Mathematics and Medicine and Health (N=777); Research= Research Fellow and Research Centre/Institute (N=153); Professional/Technical= Professional, Managerial and Support Services and Technical Support (N=1329); Prefer not to say/Other: Work area undisclosed or not listed in the survey (N=203). | |||||
|
Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student? |
|||||
|
Never |
Now and Then |
Monthly |
Weekly |
Daily |
|
|
Being ignored or excluded |
|||||
| AHSS-BL |
34.9% |
41.1% |
8.8% |
8.6% |
6.5% |
| STEM-MH |
40.5% |
39.5% |
7.5% |
7.7% |
4.8% |
| Research |
40.5% |
36.6% |
8.5% |
7.2% |
7.2% |
| Professional/Technical |
40.5% |
40% |
5.9% |
8.1% |
5.5% |
| Prefer not to say/Other |
33% |
41.4% |
6.9% |
8.9% |
9.9% |
|
Being ignored or facing a hostile reaction when you approach someone at work |
|||||
| AHSS-BL |
49.6% |
35.4% |
6.9% |
5.4% |
2.6% |
| STEM-MH |
56.6% |
30.6% |
6.3% |
4% |
2.4% |
| Research |
60.1% |
23.5% |
6.5% |
5.9% |
3.9% |
| Professional/Technical |
52.3% |
34.5% |
5.7% |
4.5% |
3% |
| Prefer not to say/Other |
47.3% |
34.5% |
9.9% |
6.9% |
1.5% |
|
Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student? |
|||||
|
Never |
Now and Then |
Monthly |
Weekly |
Daily |
|
|
Spreading gossip and rumours about you |
|||||
| AHSS-BLa |
57.7% |
32.5% |
4.3% |
3.2% |
2.2% |
| STEM-MHb |
60.7% |
30.8% |
3.3% |
3.3% |
1.8% |
| Research |
64.1% |
24.2% |
2% |
7.2% |
2.6% |
| Professional/Technical |
64.5% |
28.6% |
2.1% |
2.9% |
2% |
| Prefer not to say/Other |
64% |
25.1% |
4.9% |
3.9% |
2% |
|
Having insulting or offensive remarks made about your person, attitudes or private life |
|||||
| AHSS-BLa |
68.5% |
25.1% |
3.2% |
2% |
1.2% |
| STEM-MHb |
72.8% |
20.8% |
3.2% |
2.1% |
1% |
| Research |
77.8% |
16.3% |
2% |
2.6% |
1.3% |
| Professional/Technical |
74.8% |
19.7% |
2% |
2.2% |
1.3% |
| Prefer not to say/Other |
69.5% |
20.2% |
5.9% |
3.9% |
0.5% |
|
Being shouted at or being the target of someone’s spontaneous rage |
|||||
| AHSS-BLa |
66.6% |
28.9% |
2.2% |
1.7% |
0.6% |
| STEM-MHb |
75.2% |
21.9% |
1.3% |
0.9% |
0.8% |
| Research |
73.9% |
20.9% |
2% |
2.6% |
0.7% |
| Professional/Technical |
68.5% |
26.6% |
2.3% |
1.6% |
1% |
| Prefer not to say/Other |
69.5% |
23.2% |
4.4% |
3% |
0% |
|
Practical jokes carried out by people you don’t get along with |
|||||
| AHSS-BLa |
92.7% |
5.5% |
1% |
0.5% |
0.3% |
| STEM-MHb |
91.5% |
6.2% |
1.4% |
0.4% |
0.5% |
| Research |
91.5% |
5.2% |
1.3% |
1.3% |
0.7% |
| Professional/Technical |
92.2% |
5.9% |
0.7% |
0.8% |
0.5% |
| Prefer not to say/Other |
89.2% |
6.9% |
1.5% |
1.5% |
1% |
Survey respondents were asked to indicate the professional status of the person who perpetrate the negative acts against them.
- Forty-five-point-seven percent (45.7%) identified a senior colleague and 31.8% identified a peer as the perpetrator of the negative acts at work. Moreover, 8.8% of respondents identified a junior colleague, 5% identified a student and 8.7% identified someone else (other) as the perpetrator (Figure 3).
Figure 3. Professional Status of the Perpetrator of Negative Acts at Work

Survey respondents who answered “now and then” to at least one of the items inquiring about negative acts at work were asked to indicate the extent to which these negative experiences had a negative impact on their mental health and wellbeing.
- Overall, between 5.3% and 38.5% (on average7) of respondents reported that the negative acts at work had “often” a negative impact on their feelings and general wellbeing, and between 7.4% and 38.5% were negatively affected “always”.
- A slightly higher rate (23.3%) of female respondents reported feeling “always” “sad and in a bad mood”; “tense and nervous”; “inactive and with low energy” and “tired and unrested when waking up” as a result of enduring negative acts at work, compared to male respondents (19.3%).
- Over a third (38.5%) of non-binary respondents reported “often” feeling “tense and nervous”; 15.4% reported feeling “always” “inactive and with low energy” and 30.8% reported feeling “tired and unrested when waking up” because of the negative acts experienced at work.
- Overall, respondents who did not disclose their gender were more likely to report negative feelings “often” (30.5%) compared to those who disclosed their gender. However, it should be noted that the subsample of respondents who did not disclose their gender and endured at least one negative act included only 72 respondents.
- A higher rate (27.9% on average) of respondents who identified as LGBTQ+ “always” manifested negative feelings and a poor general wellbeing compared to heterosexuals (21.2% on average) and to those who did not disclose their sexual orientation (9.4% on average). However, those who did not disclose their sexual orientation were likely to “often” (27%) experience negative feelings and a poor general wellbeing as a result of enduring negative acts at work.
- Higher rates (30.3% on average) of respondents with a disability “always” presented negative feelings and a poor general wellbeing as a result of enduring negative acts at work compared to respondents with no disabilities (21.7%).
- A higher rate of respondents who did not disclose their ethnicity reported to “often” (20.1%) experiencing negative feelings and a poor general wellbeing compared to those who disclosed their ethnic group. However, it should be noted that the sub-sample who did not disclose their ethnicity includes only 56 respondents. A slightly higher rate of respondents with other White backgrounds (24.5%) and those belonging to ethnic minorities (24.3%) reported “always” feeling negative emotions and a poor wellbeing as a result of enduring negative acts at work compared to the other groups (Irish: 22%; Ethnicity undisclosed: 19.2%).
|
Thinking of the negative experiences you endured at work, did they have a negative impact on your mental health and wellbeing? |
|||||
|
Never |
Seldom |
Sometimes |
Often |
Always |
|
|
I felt sad and in a bad mood |
|||||
| Overall |
13% |
19.3% |
39.3% |
6.5% |
22% |
| Female |
11% |
17.7% |
41.3% |
6.6% |
23.4% |
| Male |
17.1% |
23.6% |
34.7% |
5.6% |
18.9% |
| Non-Binary |
15.4% |
7.7% |
46.2% |
15.4% |
15.4% |
| Gender identity undisclosed |
13.9% |
9.7% |
41.7% |
25% |
9.7% |
| Heterosexual |
13.7% |
20% |
39.2% |
6.1% |
21.1% |
| LGBTQ+ |
8.6% |
16.9% |
39.1% |
9.1% |
26.3% |
| Sexual orientation undisclosed |
10.6% |
14.4% |
41% |
26.6% |
7.4% |
| Disability |
8.1% |
11% |
42.6% |
9.6% |
28.7% |
| No disability |
13.4% |
20.2% |
39.1% |
6% |
21.4% |
| Irish |
13.2% |
19% |
40.3% |
5.6% |
22% |
| Any other White background |
11.9% |
22.2% |
33.8% |
10.3% |
21.9% |
| Ethnic Minority |
12.2% |
17.6% |
33.8% |
9.5% |
27% |
| Ethnicity undisclosed |
12.5% |
17.9% |
37.5% |
16.1% |
16.1% |
|
I felt tense and nervous |
|||||
| Overall |
14% |
16.1% |
32.9% |
11% |
25.9% |
| Female |
11.2% |
14.8% |
34.2% |
12.9% |
26.9% |
| Male |
20.4% |
19.4% |
30.8% |
6.6% |
22.9% |
| Non-Binary |
7.7% |
15.4% |
7.7% |
38.5% |
30.8% |
| Gender identity undisclosed |
11.1% |
9.7% |
31.9% |
34.7% |
12.5% |
| Heterosexual |
15% |
16.4% |
33.2% |
10.5% |
24.9% |
| LGBTQ+ |
9.1% |
15.2% |
28.8% |
15.6% |
31.3% |
| Sexual orientation undisclosed |
9% |
13.8% |
35.1% |
30.3% |
11.7% |
| Disability |
5.9% |
6.6% |
33.1% |
22.8% |
31.6% |
| No disability |
14.8% |
16.9% |
33% |
10.1% |
25.3% |
| Irish |
14.1% |
16.3% |
33.5% |
10.3% |
25.8% |
| Any other White background |
14.4% |
15.9% |
28.1% |
12.8% |
28.7% |
| Ethnic Minority |
13.5% |
12.2% |
35.1% |
14.9% |
24.3% |
| Ethnicity undisclosed |
10.7% |
12.5% |
35.7% |
16.1% |
25% |
|
I felt inactive and with low energy |
|||||
| Overall |
25% |
21.1% |
30.4% |
5.8% |
17.7% |
| Female |
23% |
21.5% |
31.3% |
6.1% |
18% |
| Male |
29.9% |
21.2% |
28.3% |
4.8% |
15.8% |
| Non-Binary |
23.1% |
0% |
23.1% |
15.4% |
38.5% |
| Gender identity undisclosed |
18.1% |
12.5% |
33.3% |
27.8% |
8.3% |
| Heterosexual |
26.1% |
22.2% |
29.6% |
5.3% |
16.9% |
| LGBTQ+ |
21.4% |
14% |
32.9% |
9.1% |
22.6% |
| Sexual orientation undisclosed |
17.6% |
17% |
36.7% |
21.3% |
7.4% |
| Disability |
12.5% |
16.9% |
29.4% |
10.3% |
30.9% |
| No disability |
26% |
21.4% |
30.2% |
5.3% |
17.1% |
| Irish |
25.5% |
21.5% |
30.7% |
5.4% |
17% |
| Any other White background |
23.4% |
20% |
28.1% |
7.2% |
21.3% |
| Ethnic Minority |
18.9% |
23% |
31.1% |
8.1% |
18.9% |
| Ethnicity undisclosed |
25% |
8.9% |
28.6% |
25% |
12.5% |
|
I felt tired and unrested when waking up |
|||||
| Overall |
21.5% |
17.5% |
27.8% |
9.8% |
23.4% |
| Female |
19.2% |
17.2% |
28.5% |
10.3% |
24.8% |
| Male |
26.6% |
19% |
27.1% |
7.9% |
19.4% |
| Non-Binary |
30.8% |
0% |
0% |
30.8% |
38.5% |
| Gender identity undisclosed |
16.7% |
11.1% |
23.6% |
34.7% |
13.9% |
| Heterosexual |
22.5% |
17.9% |
28.3% |
9.3% |
22.1% |
| LGBTQ+ |
16% |
16.9% |
22.6% |
13.2% |
31.3% |
| Sexual orientation undisclosed |
17% |
13.8% |
28.2% |
29.8% |
11.2% |
| Disability |
12.5% |
11% |
28.7% |
17.6% |
30.1% |
| No disability |
22.4% |
17.8% |
27.8% |
9.1% |
22.9% |
| Irish |
21.4% |
18.2% |
28.5% |
9% |
22.9% |
| Any other White background |
22.2% |
15.6% |
23.4% |
12.5% |
26.3% |
| Ethnic Minority |
23% |
9.5% |
28.4% |
12.2% |
27% |
| Ethnicity undisclosed |
17.9% |
12.5% |
23.2% |
23.2% |
23.2% |
| Note: Nfemale=1760; Nmale=835; Nnon-binary=13; Ngender undisclosed=72; Nheterosexual=2249; NLGBTQ+= 243; Nsexual orientation undisclosed=188; NIrish=2230 ; NWhite background=320; NEthnic minority=74; Nethnicity undisclosed=56; Ndisability=136; Nno-disability=2243 | |||||
- In terms of the impact of the nine negative acts assessed in this survey study on different age-groups, findings showed that a higher rate of respondents in the 25-34, 35-44, 45-54 and 55-64 age groups reported negative feelings “often” or “always”, compared to younger (18-24) and older respondents (65+). However, the latter age groups comprise a low number of respondents (Table 14).
|
Thinking of the negative experiences you endured at work, did they have a negative impact on your mental health and wellbeing? |
|||||
|
Never |
Seldom |
Sometimes |
Often |
Always |
|
|
I felt sad and in a bad mood |
|||||
|
18-24 |
31.3% |
18.8% |
50% |
0% |
0% |
|
25-34 |
11.2% |
22.3% |
31.2% |
27% |
8.4% |
|
35-44 |
11.4% |
21.6% |
38.6% |
22.1% |
6.3% |
|
45-54 |
12.4% |
17.4% |
41.3% |
22% |
7% |
|
55-64 |
15.5% |
20.2% |
39.1% |
20.5% |
4.7% |
|
65+ |
37.1% |
20% |
25.7% |
14.3% |
2.9% |
|
I felt tense and nervous |
|||||
|
18-24 |
31.3% |
12.5% |
37.5% |
18.8% |
0% |
|
25-34 |
13.5% |
18.1% |
29.3% |
28.4% |
10.7% |
|
35-44 |
12.5% |
14.5% |
33.8% |
28% |
11.1% |
|
45-54 |
13.5% |
14.7% |
34.1% |
25.6% |
12.2% |
|
55-64 |
16.2% |
20.7% |
31% |
23.6% |
8.4% |
|
65+ |
34.3% |
25.7% |
20% |
14.3% |
5.7% |
|
I felt inactive and with low energy |
|||||
|
18-24 |
31.3% |
18.8% |
37.5% |
12.5% |
0% |
|
25-34 |
23.3% |
17.7% |
25.6% |
26% |
7.4% |
|
35-44 |
26.2% |
20.6% |
30.2% |
17.8% |
5.2% |
|
45-54 |
23.3% |
21.8% |
31.3% |
16.8% |
6.8% |
|
55-64 |
27.6% |
23.3% |
29.5% |
15.9% |
3.8% |
|
65+ |
42.9% |
17.1% |
34.3% |
2.9% |
2.9% |
|
I felt tired and unrested when waking up |
|||||
|
18-24 |
43.8% |
18.8% |
25% |
6.3% |
6.3% |
|
25-34 |
24.2% |
16.3% |
22.3% |
22.3% |
14.9% |
|
35-44 |
23.4% |
17.7% |
25.6% |
24.2% |
9.1% |
|
45-54 |
18.7% |
16.6% |
30.2% |
24.2% |
10.3% |
|
55-64 |
23.4% |
20.3% |
27.4% |
21.4% |
7.4% |
|
65+ |
31.4% |
22.9% |
22.9% |
20% |
2.9% |
| Note: N18-24=31; N25-34=320; N35-44=907; N45-54=1326; N55-64=764; N65+=49 | |||||
- On average, 22% of managers and 22.4% of respondents with a non-managerial role reported “often” feeling negative emotions and a poor wellbeing as a result of enduring the nine negative acts assessed in this study. However, a slightly higher number of respondents with a non-managerial role reported “always” being negatively affected by enduring negative acts at work, compared to non-managers (average: 9.4% of non-managers versus 6.3% of managers).
|
Thinking of the negative experiences you endured at work, did they have a negative impact on your mental health and wellbeing? |
|||||
|
Never |
Seldom |
Sometimes |
Often |
Always |
|
|
I felt sad and in a bad mood |
|||||
| Managerial role |
14.1% |
20.3% |
41.3% |
19.5% |
4.8% |
| Non-managerial role |
12.3% |
18.7% |
38.2% |
23.4% |
7.4% |
|
I felt tense and nervous |
|||||
| Managerial role |
14.5% |
18.2% |
33.1% |
26.1% |
8.2% |
| Non-managerial role |
13.8% |
14.9% |
32.9% |
25.8% |
12.6% |
|
I felt inactive and with low energy |
|||||
| Managerial role |
26.2% |
21.2% |
32.4% |
16.2% |
4.1% |
| Non-managerial role |
24.4% |
21% |
29.3% |
18.5% |
6.8% |
|
I felt tired and unrested when waking up |
|||||
| Managerial role |
21.5% |
17.3% |
26.9% |
26.2% |
8.2% |
| Non-managerial role |
21.5% |
17.7% |
28.2% |
21.9% |
10.7% |
| Note: Nmanagers: 1149; Nnon-managers: 2309 | |||||
Survey respondents were asked to read the HSA bullying definition (2021) presented above (see Introduction) and to indicate if they had been bullied in the past three years, including any period of remote working.
- Over a third of respondents (33.5%) indicated that they endured bullying, whereas 66.5% indicated that they were not bullied at work in the past three years (Figure 4).
- Almost a third of respondents (32%) who had been bullied in the past three years indicated that this happened “now and then”; 33.3% indicated that it happened “several times per semester”; 15% reported that the bullying happened “several times per month”, 13.4% reported that this happened weekly and 6.2% reported that this happened daily (Figure 5).
- Most of the bullied respondents (70.6%) endured bullying for “several months”, 3.1% reported that it lasted for “one month”, 4.3% reported that it lasted for “less than one month”, 10.7% reported that it lasted for “a week or two” and 11.3% indicated that it lasted for “just one day” (Figure 6)
Figure 4. Respondents who Reported Being Bullied in the Past Three Years
Figure 5. Frequency of Bullying Victimisation
Figure 6. Duration of the Bullying Incidents
- In terms of the professional status of the perpetrator, most respondents were bullied by a senior colleague (55%), followed by peers (24.6%), junior colleagues (8.8%), other employees (8.4%) and a student (3.2%, Figure 7).
Figure 7. Professional Status of the Perpetrator of Bullying

A higher proportion of female respondents (34.2%) were bullied, compared to 30.5% of males. Moreover, 50% of non-binary and 50% of respondents who did not disclose their gender also endured bullying at work. These findings should, however, be interpreted cautiously due to the small sub-samples including non-binary respondents (N=16) and respondents who did not disclose their gender (N=74)8.
A higher proportion of respondents who did not disclose their sexual orientation (46.7%) reported having endured bullying in the past three years, compared to 34% of LGBTQ+ respondents and 32.5% of heterosexual respondents.
More than half of respondents who did not disclose their ethnic identity (51.8%) reported having being bullied at work in the past three years, compared to 44.9% of respondents who identified as belonging to an ethnic minority, 33.1% of Irish respondents and 31.1% of respondents with any other White background.
Forty-eight-point-one percent (48.1%) of respondents with a disability were bullied at work in the past three years, compared to 31.9% of those with no disabilities. However, the subsample of bullied respondents presenting a disability comprised only of 75 respondents.
Forty-eight-point-one percent (48.1%) of respondents with a disability were bullied at work in the past three years, compared to 31.9% of those with no disabilities. However, the subsample of bullied respondents presenting a disability comprised only of 75 respondents.
A slightly higher rate of respondents with a managerial role (35.8%) endured bullying in the past three years, compared to 32.3% of respondents with no managerial duties.
A higher rate of respondents who did not disclose their area of work or whose area of work was not listed in the survey (38.8%) were bullied at work in the past three years, compared to respondents working in other areas (36.7% of academics in the field of AHSS-BL; 32% of academics in the STEM-MH; 31.8% of employees in the Professional/Technical area and 28.3% of respondents in the Research area).
|
Have you ever been bullied in the past three years? |
||
|
Yes N(%) |
No N(%) |
|
| Female |
726 (34.2%) |
1397 (65.8%) |
| Male |
313 (30.5%) |
712 (69.5%) |
| Non-Binary |
8 (50%) |
8 (50%) |
| Gender identity undisclosed |
37 (50%) |
37 (50%) |
| Heterosexual |
890 (32.5%) |
1850 (58.5%) |
| LGBTQ+ |
103 (34%) |
200 (66%) |
| Sexual orientation undisclosed |
91 (46.7%) |
53.3%) |
| Irish |
888 (33.1%) |
1796 (66.9%) |
| Any other White background |
127 (31.1%) |
282 (68.9%) |
| Ethnic Minority |
40 (44.9%) |
49 (55.1%) |
| Ethnicity undisclosed |
29 (51.8%) |
27 (48.2%) |
| 18-24 |
3 (11.5%) |
23 (88.5%) |
| 25-34 |
72 (24.2%) |
226 (75.8%) |
| 35-44 |
275 (32.1%) |
581 (67.9%) |
| 45-54 |
451 (36.8%) |
776 (63.2%) |
| 55-64 |
241 (33%) |
489 (67%) |
| 65+ |
9 (19.1%) |
38 (80.9%) |
| Disability |
75 (48.1%) |
81 (51.9%) |
| No disability |
881 (31.9%) |
1879 (68.1%) |
| Managerial role |
388 (35.8%) |
697 (64.2%) |
| Non-managerial role |
696 (32.3%) |
1457 (67.7%) |
| AHSS-BL |
342 (36.7%) |
591 (63.3%) |
| STEM-MH |
232 (32%) |
493 (68%) |
| Research |
41 (28.3%) |
104 (71.7%) |
| Professional/Technical |
400 (31.8%) |
857 (68.2%) |
| Work area undisclosed/Other |
69 (38.8%) |
109 (61.2%) |
| Note: AHSS-BL= Academics: Arts, Humanities, Social Sciences and Business and Law; STEM-MH = Academics: Science, Technology, Engineering, Mathematics and Medicine and Health; Research = Research Fellow and Research Centre/Institute; Professional/Technical = Professional, Managerial and Support Services and Technical Support. | ||
Survey respondents who indicated that they endured bullying at work in the past three years were asked to indicate how often they were bullied.
- A higher rate of female respondents endured bullying “weekly” (14.9%) and “daily” (6.5%) compared to male respondents (weekly: 9.9% and daily: 5.4%). The rates of bullying for female and male respondents across the other timeframe categories were similar.
- Half of non-binary respondents (N=8) endured bullying “several times per semester” and one-quarter (25%) reported having endured bullying several times per month. The rates of bullying repetition for respondents who did not disclose their gender were similar to the other groups.
- Higher rates of LGBTQ+ respondents endured bullying “weekly” (19.6%) compared to heterosexuals (12.9%) and to those who did not disclose their sexual orientation (12.1%), whereas a higher rate of respondents who did not disclose their sexual orientation were bullied daily (7.7%) compared to both heterosexual (6.3%) and LGBTQ+ respondents (3.9%). However, these findings should be interpreted cautiously due to the unequal sample sizes across the different subgroups.
- In terms of the bullying experiences across different ethnic groups, respondents who did not disclose their ethnicity were more likely to be bullied “weekly” (20.7%) and “daily” (12.8%) compared to those who disclosed their ethnic group.
- In terms of bullying across different age groups, higher rates of respondents in the 18- 24 age group endured bullying “weekly” (33.3%), whereas a higher rate of those in the 35-44 age group endured bullying “daily” (16.7%) compared to all other age groups
- Respondents with a disability were more likely to report “weekly” (21.6%) and “daily” (8.1%) bullying compared to respondents without a disability (weekly: 12.9% and daily: 5.9%).
- The rates of bullying victimisation repetition for managers and non-managers were similar. Managers were more likely to be bullied “now and then” (33.6%) compared to non-managers (31.2%). However, respondents in a non-managerial position reported slightly higher rates of being bullied several times per semester (34.3%), several times per month (16%) and “daily” (6.9%) compared to managers (several times per semester: 31.5%; several times per month: 14.4%; daily: 4.9%).
- In terms of work area, respondents who did not disclose their work area or worked in a work area not listed in the survey (“other”) were more likely to be bullied “now and then” (40.3%), compared to respondents in all other work areas. Respondents working in the AHSS-BL sector were more likely to be bullied several times per semester compared to respondents in the other work areas. Those working as research fellows or employed in a research centre were more likely to be bullied both several times per month (22.5%) and daily (12.5%) compared to respondents in all other work areas. Respondents working in the Professional/Technical area were more likely to be bullied weekly (16.5%) compared to those working in other work areas.
|
How often did the bullying happen? |
|||||
|
Now and then |
Several times per semester |
Several times per month |
Weekly |
Daily |
|
| Female |
29.7% |
32.9% |
15.9% |
14.9% |
6.5% |
| Male |
37.2% |
33.3% |
14.1% |
9.9% |
5.4% |
| Non-Binary |
12.5% |
50% |
25% |
12.5% |
0% |
| Gender identity undisclosed |
37.8% |
37.8% |
2.7% |
13.5% |
8.1% |
| Heterosexual |
32% |
33% |
15.8% |
12.9% |
6.3% |
| LGBTQ+ |
27.5% |
34.3% |
14.7% |
19.6% |
3.9% |
| Sexual orientation undisclosed |
37.4% |
35.2% |
7.7% |
12.1% |
7.7% |
| Irish |
32.5% |
33.6% |
14.7% |
13.2% |
6% |
| Any other White background |
26.8% |
36.2% |
19.7% |
13.4% |
3.9% |
| Ethnic Minority |
41% |
15.4% |
17.9% |
12.8% |
12.8% |
| Ethnicity undisclosed |
27.6% |
37.9% |
0% |
20.7% |
13.8% |
| 18-24 |
66.7% |
0% |
0% |
33.3% |
0% |
| 25-34 |
32.9% |
31.4% |
12.9% |
15.7% |
7.1% |
| 35-44 |
29.8% |
29.8% |
17.5% |
16.7% |
16.7% |
| 45-54 |
31.9% |
34.1% |
14.6% |
14% |
5.3% |
| 55-64 |
33.3% |
37.1% |
13.8% |
8.8% |
7.1% |
| 65+ |
33.3% |
33.3% |
9.4% |
9.4% |
12.5% |
| Disability |
18.9% |
35.1% |
16.2% |
21.6% |
8.1% |
| No disability |
32.9% |
32.9% |
15.4% |
12.9% |
5.9% |
| Managerial role |
33.6% |
31.5% |
16% |
14% |
4.9% |
| Non-managerial role |
31.2% |
34.3% |
14.4% |
13.1% |
6.9% |
| AHSS-BL |
27.5% |
44.4% |
11.7% |
13.2% |
3.2% |
| STEM-MH |
37.9% |
34.9% |
11.6% |
8.2% |
7.3% |
| Research |
25% |
25% |
22.5% |
15% |
12.5% |
| Professional/Technical |
31.8% |
25.8% |
18.3% |
16.5% |
7.5% |
| Work area undisclosed/Other |
40.3% |
20.9% |
19.4% |
13.4% |
6% |
| Note: AHSS-BL= Academics: Arts, Humanities, Social Sciences and Business and Law; STEM-MH = Academics: Science, Technology, Engineering, Mathematics and Medicine and Health; Research = Research Fellow and Research Centre/Institute; Professional/Technical = Professional, Managerial and Support Services and Technical Support. | |||||
Most respondents reported having endured bullying for several months (over 60% of respondents in each demographic group). More in detail, 100% of non-binary respondents were bullied for several months, followed by the 35-44 age group (75.6%), by LGBTQ+ respondents (75.5%), and by female respondents (74.6%). In addition, a high number of those in a managerial position (74.2%) reported having being bullied for several months (Table 25).
|
How long did the bullying last? |
|||||
|
Just one day |
A week or two |
Less than a month |
A month |
Several months |
|
| Femalea |
9.7% |
8.9% |
3.9% |
3% |
74.6% |
| Malea |
14.4% |
14.4% |
5.8% |
3.2% |
62.2% |
| Non-Binary |
0% |
0% |
0% |
0% |
100% |
| Gender identity undisclosed |
18.9% |
18.9% |
0% |
5.4% |
56.8% |
| 18-24 |
0% |
0% |
0% |
33.3% |
66.7% |
| 25-34 |
10% |
14.3% |
7.1% |
5.7% |
62.9% |
| 35-44 |
10.5% |
8.7% |
3.3% |
1.8% |
75.6% |
| 45-54 |
12% |
10% |
5.3% |
3.5% |
69.2% |
| 55-64 |
11.3% |
11.7% |
3.3% |
2.5% |
71.3% |
| 65+ |
11.1% |
11.1% |
0% |
11.1% |
66.7% |
| Heterosexual |
11.2% |
10.7% |
4.3% |
3% |
70.8% |
| LGBTQ+ |
6.9% |
8.8% |
5.9% |
2.9% |
75.5% |
| Sexual orientation undisclosed |
17.6% |
13.2% |
2.2% |
4.4% |
62.6% |
| Disability |
17.6% |
12.2% |
1.4% |
0% |
68.9% |
| No disability |
10.5% |
10.8% |
4.6% |
3% |
71.2% |
| Irish |
10.7% |
10.4% |
4.6% |
3.3% |
71% |
| Any other White background |
15% |
9.4% |
1.6% |
3.1% |
70.9% |
| Ethnic Minority |
10.3% |
12.8% |
7.7% |
3.3% |
71% |
| Ethnicity undisclosed |
13.8% |
24.1% |
0% |
0% |
62.1% |
| Managerial role |
11.4% |
9.3% |
3.6% |
1.6% |
74.2% |
| Non-managerial role |
11.3% |
11.5% |
4.6% |
4% |
68.5% |
| AHSS-BL |
10.2% |
11.1% |
4.1% |
3.2% |
71.3% |
| STEM-MH |
13.4% |
13.8% |
4.7% |
3.4% |
64.7% |
| Research |
5% |
10% |
5% |
0% |
80% |
| Professional/Technical |
12.3% |
8.5% |
3.5% |
2.8% |
72.9% |
| Work area undisclosed/Other |
7.5% |
11.9% |
7.5% |
6% |
67.2% |
Survey respondents were asked to indicate if they endured any cyberbullying behaviours at work in the past three years, including any periods of remote working.
- On average9 32.9% respondents (in the overall sample) reported experiencing the cyberbullying behaviours assessed in this study “now and then”; 6.6% respondents endured cyberbullying “monthly”; 4.7% experienced this weekly and 1.9% were subjected to cyberbullying daily.
- For ease of readability, the 11 cyberbullying behaviours assessed in this survey study are presented in 5 tables (Table 19 to 23).
- On average, 33.5% of female employees endured all cyberbullying behaviours assessed in this survey study “now and then”. Monthly (6.6%), weekly (4.8%) and daily (2%) cyberbullying acts were less common.
- Similar figures were found for males, with 31.4% enduring all aspects of cyberbullying behaviours “now and then”, and a smaller proportion of males enduring cyberbullying monthly (6.2%), weekly (4.2%) and daily (1.4%).
- On average 26.2% of non-binary respondents experienced all aspects of cyberbullying “now and then”. Monthly and daily cyberbullying behaviours were endured respectively by 12% and 10% of non-binary respondents, whereas a smaller proportion of non-binary respondents endured cyberbullying weekly (3.4%).
- Of those who did not disclose their gender, 37.3% experienced all aspects of cyberbullying “now and then” and 11.5% experienced this monthly. Moreover, 10.6% experienced all aspects of cyberbullying weekly, while 4.8% experienced this daily. However, these percentages should be interpreted cautiously due to the non-binary sub-sample including only 16 respondents.
- Receiving messages that have a disrespectful tone was the most common cyberbullying experience across all gender groups, followed by receiving conflicting information.
- Significant statistical differences were found among respondents with different gender identities. Females were more likely to be cyberbullied compared to males. Respondents who did not disclose their gender were more likely to be bullied compared to both males and females (see Appendix).
- An average of 32.7% heterosexual respondents experienced all aspects of cyberbullying “now and then”, whereas monthly (6.4%), weekly (4.4%) and daily (1.6%) cyberbullying was experienced by a smaller proportion of respondents.
- On average 34.3% LGBTQ+ respondents endured cyberbullying “now and then”. Monthly (7.9%), weekly (6.3%) and daily (3.5%) cyberbullying behaviours were endured by a small proportion of LGBTQ+ respondents.
- Of those who did not disclose their sexual orientation, 36.9% experienced cyberbullying acts “now and then”, with only a small proportion of respondents enduring this monthly (8.1%), weekly (7.1%) and daily (5.1%).
- Significant statistical differences were found among respondents with different sexual orientations. LGBTQ+ respondents reported higher levels of cyberbullying victimisation compared to heterosexuals. Respondents who did not disclose their sexual orientation reported higher levels of cyberbullying victimisation scores compared to both heterosexuals and LGBTQ+ respondents (see Appendix).
- On average 33.7% of Irish respondents reported being cyberbullied “now and then”. Monthly (6.5%), weekly (4.5%) and daily (1.7%) cyberbullying behaviours were endured by a small proportion of respondents.
- On average 28.7% of respondents who identified themselves with any other White background endured cyberbullying “now and then”, whereas monthly (6.8%), weekly (4.3%) and daily (1.9%) cyberbullying behaviours were experienced by a smaller proportion of respondents with any other White background.
- In terms of the ethnic minority groups, an average of 26.4% respondents reported being cyberbullied “now and then”; 7.1% experienced cyberbullying monthly; 7.1% weekly and 2.9% endured this daily.
- Over a third of respondents who did not disclose their ethnicity (35.4%) endured all aspects of cyberbullied “now and then”. Moreover, 10.4% experienced this monthly; 12.1% were cyberbullied weekly and 9.4% endured cyberbullying daily.
- Statistical significant differences were found among respondents with different ethnic identities. Respondents who did not disclose their ethnicity reported higher levels of cyberbullying victimisation scores compared to all ethnic groups (see Appendix). However, these findings should be interpreted cautiously due to the small sample size of people who did not disclose their ethnicity (N=60).
- An average of 30.5% respondents with a disability reported being cyberbullied “now and then”; 11.2% were subjected to cyberbullying monthly; 10.5% of people with a disability experienced weekly cyberbullying acts and 3% endured this daily.
- On average 32.5% respondents with no disabilities reported being cyberbullied “now and then”, whereas a smaller proportion of respondents with no disabilities were subjected to cyberbullying monthly (6.2%) weekly (4.2%) and daily (1.7%).
- Significant statistical differences were found between respondents with a disability and those with no disabilities. Findings showed that respondents with a disability endured higher levels of cyberbullying compared to those with no disabilities (see Appendix). However, these findings should be interpreted cautiously due to the small sub-sample of respondents with a disability (N=162).
|
Have you experienced any of the following acts from a senior colleague, peer, junior colleague or student, via email, instant messaging, text messages, on social media, on Conference Apps (Zoom, Microsoft Teams, etc.)? |
|||||
|
Never |
Now and then |
Monthly |
Weekly |
Daily |
|
|
Received messages that have a disrespectful tone |
|||||
| Overall |
43.5% |
44.9% |
6% |
4.8% |
0.8% |
| Female |
42.4% |
45.4% |
6% |
5.4% |
0.8% |
| Male |
47.1% |
43.4% |
5.7% |
3.2% |
0.7% |
| Non-Binary |
18.8% |
50% |
18.8% |
6.3% |
6.3% |
| Gender identity undisclosed |
27.3% |
50.6% |
10.4% |
10.4% |
1.3% |
| Heterosexual |
44.3% |
44.8% |
5.6% |
4.7% |
0.6% |
| LGBTQ+ |
38.6% |
54.8% |
88.5% |
5% |
2.1% |
| Sexual orientation undisclosed |
31.9% |
51% |
8.8% |
5.4% |
2.9% |
| Disability |
37% |
40.7% |
10.5% |
11.7% |
0% |
| No disability |
44.5% |
44.8% |
5.7% |
4.3% |
0.7% |
| Irish |
43.3% |
45.6% |
5.6% |
4.8% |
0.7% |
| White background |
45% |
42.7% |
8.3% |
3.1% |
0.9% |
| Ethnic Minority |
49.5% |
36.6% |
6.5% |
6.5% |
1.1% |
| Ethnicity undisclosed |
28.3% |
43.3% |
10% |
15% |
3.3% |
|
Been unfairly blamed |
|||||
| Overall |
60.6% |
30.5% |
4.3% |
3.7% |
0.9% |
| Female |
60.2% |
30.6% |
4.4% |
3.9% |
0.9% |
| Male |
62.5% |
30% |
3.7% |
3% |
0.7% |
| Non-Binary |
56.3% |
12.5% |
18.8% |
6.3% |
6.3% |
| Gender identity undisclosed |
44.2% |
37.7% |
7.8% |
7.8% |
2.6% |
| Heterosexual |
61.9% |
29.6% |
4.3% |
3.5% |
0.7% |
| LGBTQ+ |
53.5% |
35.1% |
4.4% |
4.8% |
2.1% |
| Sexual orientation undisclosed |
46.6% |
39.7% |
5.4% |
4.9% |
3.4% |
| Disability |
47.5% |
30.9% |
11.1% |
9.3% |
1.2% |
| No disability |
62.7% |
29.5% |
3.8% |
3.2% |
0.8% |
| Irish |
60.4% |
31.3% |
4.1% |
3.5% |
0.8% |
| White background |
66.4% |
24.2% |
5.2% |
3.3% |
0.9% |
| Ethnic Minority |
53.8% |
31.2% |
7.5% |
6.5% |
1.1% |
| Ethnicity undisclosed |
38.3% |
38.3% |
5% |
11.7% |
6.7% |
|
Received aggressively worded messages |
|||||
| Overall |
68.5% |
24.7% |
4% |
2.3% |
0.6% |
| Female |
68% |
25.3% |
3.4% |
2.7% |
0.6% |
| Male |
70.7% |
22.8% |
4.9% |
1.4% |
0.3% |
| Non-Binary |
62.5% |
25% |
6.3% |
0% |
6.3% |
| Gender identity undisclosed |
51.9% |
32.5% |
7.8% |
5.2% |
2.6% |
| Heterosexual |
69.8% |
23.9% |
3.8% |
2.2% |
0.3% |
| LGBTQ+ |
61.4% |
28.6% |
5% |
3.1% |
1.9% |
| Sexual orientation undisclosed |
59.3% |
8.9% |
4.9% |
3.4% |
3.4% |
| Disability |
58% |
27.8% |
7.4% |
6.2% |
0.6% |
| No disability |
70% |
23.9% |
3.6% |
2% |
0.4% |
| Irish |
68.6% |
24.8% |
3.8% |
2.4% |
0.4% |
| White background |
71.6% |
22.3% |
4.3% |
1.2% |
0.7% |
| Ethnic Minority |
63.4% |
24.7% |
5.4% |
4.3% |
2.2% |
| Ethnicity undisclosed |
46.7% |
35% |
8.3% |
5% |
5% |
|
Had another staff member copy people into messages that reflect poorly on you |
|||||
| Overall |
59.2% |
32.5% |
4.8% |
2.8% |
0.7% |
| Female |
57.9% |
33.8% |
4.8% |
2.8% |
0.7% |
| Male |
63.7% |
29% |
4.6% |
2.3% |
0.4% |
| Non-Binary |
50% |
31.3% |
12.5% |
6.3% |
0% |
| Gender identity undisclosed |
36.4% |
45.5% |
6.5% |
9.1% |
2.6% |
| Heterosexual |
60.3% |
31.9% |
4.8% |
2.6% |
0.4% |
| LGBTQ+ |
53.1% |
36.1% |
5% |
3.9% |
1.9% |
| Sexual orientation undisclosed |
49% |
38.2% |
4.9% |
4.4% |
3.4% |
| Disability |
53.7% |
31.5% |
9.3% |
4.9% |
0.6% |
| No disability |
60.1% |
32.2% |
4.6% |
2.5% |
0.5% |
| Irish |
58.2% |
33.8% |
4.7% |
2.8% |
0.5% |
| White background |
65.4% |
27.5% |
4.5% |
1.7% |
0.9% |
| Ethnic Minority |
72% |
15.1% |
8.6% |
4.3% |
0% |
| Ethnicity undisclosed |
41.7% |
36.7% |
5% |
10% |
6.7% |
|
Had your work unfairly criticised |
|||||
| Overall |
59.8% |
31.6% |
4.6% |
3% |
0.9% |
| Female |
59.7% |
31.7% |
4.6% |
3% |
1% |
| Male |
61.4% |
31.1% |
4.2% |
2.7% |
0.6% |
| Non-Binary |
43.8% |
43.8% |
6.3% |
0% |
6.3% |
| Gender identity undisclosed |
45.5% |
35.1% |
10.4% |
7.8% |
1.3% |
| Heterosexual |
60.7% |
31.5% |
4.4% |
2.9% |
0.6% |
| LGBTQ+ |
55.2% |
32.4% |
6.2% |
3.9% |
2.3% |
| Sexual orientation undisclosed |
52% |
32.8% |
7.8% |
4.4% |
2.9% |
| Disability |
45.1% |
34% |
11.7% |
8% |
1.2% |
| No disability |
61.3% |
31.3% |
4.1% |
2.6% |
0.7% |
| Irish |
60.1% |
31.8% |
4.6% |
2.7% |
0.8% |
| White background |
62.3% |
30.3% |
3.6% |
3.3% |
0.5% |
| Ethnic Minority |
53.8% |
32.3% |
5.4% |
7.5% |
1.1% |
| Ethnicity undisclosed |
38.3% |
33.3% |
15% |
8.3% |
5% |
|
Received rude demands from a colleague |
|||||
| Overall |
64.5% |
26.7% |
4.8% |
3.2% |
0.8% |
| Female |
62.5% |
27.4% |
5.4% |
3.8% |
0.9% |
| Male |
70.1% |
24.3% |
3.5% |
1.9% |
0.3% |
| Non-Binary |
75% |
6.3% |
12.5% |
0% |
6.3% |
| Gender identity undisclosed |
41.6% |
41.6% |
7.8% |
6.5% |
2.6% |
| Heterosexual |
65.9% |
26.2% |
4.5% |
3% |
0.5% |
| LGBTQ+ |
57.1% |
29.2% |
6.8% |
4.6% |
2.3% |
| Sexual orientation undisclosed |
50% |
34.3% |
7.4% |
4.9% |
3.4% |
| Disability |
50% |
28.4% |
14.2% |
6.8% |
0.3% |
| No disability |
66.6% |
25.5% |
4.2% |
3% |
0.6% |
| Irish |
64.2% |
27.3% |
4.7% |
3.2% |
0.6% |
| White background |
71.8% |
21.1% |
4% |
2.4% |
0.7% |
| Ethnic Minority |
60.2% |
23.7% |
8.6% |
6.5% |
1.1% |
| Ethnicity undisclosed |
35% |
40% |
10% |
6.7% |
8.3% |
|
Been sent conflicting information |
|||||
| Overall |
37.6% |
42.3% |
11% |
6.9% |
2.2% |
| Female |
36.7% |
43.5% |
10.9% |
6.8% |
2.1% |
| Male |
40.3% |
40.4% |
10.6% |
6.6% |
2.2% |
| Non-Binary |
43.8% |
25% |
18.8% |
12.5% |
0% |
| Gender identity undisclosed |
24.7% |
39% |
16.9% |
13% |
6.5% |
| Heterosexual |
38.8% |
24.1% |
10.9% |
6.3% |
2% |
| LGBTQ+ |
31.1% |
43.8% |
11.6% |
10.2% |
3.3% |
| Sexual orientation undisclosed |
26.5% |
45.6% |
12.3% |
10.3% |
5.4% |
| Disability |
30.9% |
35.8% |
14.2% |
14.8% |
4.3% |
| No disability |
39.2% |
42.3% |
10.4% |
6.3% |
1.8% |
| Irish |
36.8% |
44.1% |
10.7% |
6.4% |
1.9% |
| White background |
42.2% |
34.1% |
13% |
8.% |
2.1% |
| Ethnic Minority |
47.3% |
30.1% |
9.7% |
9.7% |
3.2% |
| Ethnicity undisclosed |
25% |
36.7% |
11.7% |
11.7% |
15% |
|
Been bypassed in group communications that are relevant to your work role |
|||||
| Overall |
40.8% |
39% |
10.3% |
6.7% |
3.3% |
| Female |
40.1% |
40.1% |
9.7% |
6.7% |
3.5% |
| Male |
43.4% |
37.4% |
10.8% |
6% |
2.5% |
| Non-Binary |
37.5% |
31.3% |
12.5% |
12.5% |
6.3% |
| Gender identity undisclosed |
26% |
31.2% |
19.5% |
15.6% |
7.8% |
| Heterosexual |
41.2% |
39.6% |
10% |
6.2% |
3% |
| LGBTQ+ |
38.2% |
35.7% |
12% |
9.5% |
4.6% |
| Sexual orientation undisclosed |
31.4% |
38.2% |
13.7% |
9.3% |
7.4% |
| Disability |
33.3% |
30.9% |
12.3% |
16% |
7.4% |
| No disability |
42.3% |
39% |
9.7% |
6% |
2.9% |
| Irish |
40.7% |
39.8% |
10..4% |
6.2% |
3% |
| White background |
43.8% |
36% |
9.5% |
7.3% |
3.3% |
| Ethnic Minority |
43% |
34.4% |
8.6% |
8.6% |
5.4% |
| Ethnicity undisclosed |
21.7% |
31.7% |
13.3% |
20% |
13.3% |
|
Been the subject of communications that undermine you |
|||||
| Overall |
61.2% |
28.1% |
5.1% |
3.9% |
1.6% |
| Female |
61% |
28.6% |
5% |
3.7% |
1.7% |
| Male |
63.3% |
26.7% |
5.1% |
3.7% |
1.2% |
| Non-Binary |
56.3% |
25% |
6.3% |
0% |
12.5% |
| Gender identity undisclosed |
40.3% |
33.8% |
9.1% |
13% |
3.9% |
| Heterosexual |
62.3% |
27.7% |
4.9% |
3.6% |
1.5% |
| LGBTQ+ |
55.2% |
30.1% |
6.4% |
5.8% |
2.5% |
| Sexual orientation undisclosed |
49.5% |
33.8% |
5.4% |
6.9% |
4.4% |
| Disability |
51.2% |
29.6% |
8.6% |
8.6% |
1.9% |
| No disability |
62.9% |
27.5% |
4.7% |
3.4% |
1.5% |
| Irish |
60.8% |
29.3% |
5% |
3.5% |
1.4% |
| White background |
67.5% |
51.1% |
5.7% |
4% |
1.7% |
| Ethnic Minority |
64.5% |
21.5% |
4.3% |
6.5% |
3.2% |
| Ethnicity undisclosed |
31.7% |
33.3% |
8.3% |
18.3% |
8.3% |
|
Received unreasonable work demands |
|||||
| Overall |
41% |
35.2% |
11% |
8% |
4.8% |
| Female |
40.3% |
35.5% |
11.7% |
7.5% |
5% |
| Male |
43.7% |
35% |
9.2% |
8.4% |
3.7% |
| Non-Binary |
37.5% |
18.8% |
18.8% |
6.3% |
18.8% |
| Gender identity undisclosed |
23.4% |
32.5% |
16.9% |
15.6% |
11.7% |
| Heterosexual |
41.9% |
35.8% |
10.7% |
7.4% |
4.3% |
| LGBTQ+ |
36.1% |
32.2% |
13.1% |
11.2% |
7.3% |
| Sexual orientation undisclosed |
30.4% |
35.3% |
11.3% |
13.2% |
9.8% |
| Disability |
36.4% |
21.6% |
16% |
19.1% |
6.8% |
| No disability |
42.4% |
35.5% |
10.7% |
7% |
4.3% |
| Irish |
40.3% |
36.5% |
11% |
7.9% |
4.4% |
| White background |
46.2% |
29.9% |
11.1% |
7.8% |
5% |
| Ethnic Minority |
53.8% |
22.6% |
9.7% |
7.5% |
6.5% |
| Ethnicity undisclosed |
18.3% |
35% |
15% |
15% |
16.7% |
|
Been pressured into responding to technology mediated communications at all times |
|||||
| Overall |
55.6% |
26.6% |
6.7% |
6.5% |
4.6% |
| Female |
55% |
27.2% |
6.7% |
6.2% |
4.9% |
| Male |
58.5% |
25.2% |
6.3% |
6.6% |
3.4% |
| Non-Binary |
50% |
18.8% |
0% |
6.3% |
25% |
| Gender identity undisclosed |
32.5% |
31.2% |
13% |
13% |
10.4% |
| Heterosexual |
57% |
26.3% |
6.4% |
6.3% |
4% |
| LGBTQ+ |
48.1% |
28.2% |
8.1% |
7.7% |
7.9% |
| Sexual orientation undisclosed |
42.6% |
28.4% |
7.4% |
11.3% |
10.3% |
| Disability |
48.1% |
24.7% |
8% |
10.5% |
8.6% |
| No disability |
57.5% |
26.1% |
6.3% |
6% |
4.1% |
| Irish |
55.4% |
26.9% |
6.9% |
6.5% |
4.4% |
| White background |
59.2% |
26.3% |
5.2% |
5.2% |
4% |
| Ethnic Minority |
59.1% |
18.3% |
4.3% |
10.8% |
7.5% |
| Ethnicity undisclosed |
33.3% |
26.7% |
13.3% |
11.7% |
15% |
| Note: Nfemale=2201; Nmale=1068; Nnon-binary=16; Ngender undisclosed=77; Nheterosexual=2844; N=LGBTQ+=314; Nsexual orientation undisclosed=204; Ndisability=162; Nno disability=2863; NIrish=2787; NWhite background=422; NEthnic minority=93; Nethnicity undisclosed=60 | |||||
- With regard to age, the 45-54 age group was more likely to experience occasional cyberbullying compared to the other age groups, with an average of 35% respondents in this age group enduring cyberbullying “now and then”. A third of respondents in the 35-44 age group reported being cyberbullied “now and then” (33.3%), followed by the 55-64 age group (32.5%), and by the 25-34 age group (26.1%). An average of 22.8% respondents in the 65+ age group were cyberbullied “now and then”. The 18-24 age group reported the lowest rates of occasional cyberbullying, with 20.6% of respondents in this age group enduring cyberbullying “now and then”.
- Monthly, weekly and daily cyberbullying acts were endured by a small proportion of respondents across all age groups.
- Of note, only 30 respondents aged 18-24 and only 49 respondents aged 65+ filled out the cyberbullying questions, implying that the findings for these age groups are not generalisable. For ease of readability, the rates of cyberbullying for each age group are presented in two tables (Table 24 and 25).
- Significant statistical differences were found among different age groups. Findings showed that, overall, respondents aged 18-24 reported lower levels of cyberbullying victimisation compared to respondents aged 25-34, 35-44 and to those aged 45-54. Respondents aged 65+ reported lower levels of cyberbullying victimisation compared to respondents aged 35-44 and 45-54. Finally, the groups aged 35-44 and 45-54 endured higher levels of cyberbullying victimisation compared to the 55-64 age group. (see Appendix).
|
Have you experienced any of the following acts from a senior colleague, peer, junior colleague or student, via email, instant messaging, text messages, on social media, on Conference Apps (Zoom, Microsoft Teams, etc.)? |
|||||
|
Never |
Now and then |
Monthly |
Weekly |
Daily |
|
|
Received messages that have a disrespectful tone |
|||||
|
18-24 |
70% |
26.7% |
3.3% |
0% |
0% |
|
25-34 |
50.8% |
36.2% |
9.1% |
3.2% |
0.6% |
|
35-44 |
42.8% |
45% |
6.3% |
4.8% |
1.1% |
|
45-54 |
40% |
47.2% |
6% |
6.1% |
0.7% |
|
55-64 |
46.8% |
45.7% |
4% |
2.9% |
0.5% |
|
65+ |
65.3% |
30.6% |
4.1% |
0% |
0% |
|
Been unfairly blamed |
|||||
|
18-24 |
80% |
16.7% |
3.3% |
0% |
0% |
|
25-34 |
65.7% |
24.3% |
4.9% |
4.9% |
0.3% |
|
35-44 |
60.1% |
29.9% |
4.7% |
4.2% |
1.1% |
|
45-54 |
58.3% |
33.3% |
3.6% |
3.9% |
0.9% |
|
55-64 |
63.9% |
28.7% |
4.9% |
2% |
0.5% |
|
65+ |
75.5% |
24.5% |
0% |
0% |
0% |
|
Received aggressively worded messages |
|||||
|
18-24 |
90% |
10% |
0% |
0% |
0% |
|
25-34 |
71.2% |
21.4% |
3.2% |
3.2% |
1% |
|
35-44 |
66.6% |
26% |
4.1% |
2.6% |
0.7% |
|
45-54 |
66.1% |
26.9% |
4.4% |
2.3% |
0.3% |
|
55-64 |
73.7% |
20.9% |
3.5% |
1.5% |
0.4% |
|
65+ |
89.8% |
10.2% |
0% |
0% |
0% |
|
Had another staff member copy people into messages that reflect poorly on you |
|||||
|
18-24 |
86.7% |
10% |
0% |
3.3% |
0% |
|
25-34 |
63.4% |
27.2% |
6.5% |
1.9% |
1% |
|
35-44 |
55.5% |
34.8% |
6% |
2.7% |
0.9% |
|
45-54 |
56.6% |
34.9% |
4.7% |
3.3% |
0.5% |
|
55-64 |
65.6% |
29.2% |
3.3% |
1.5% |
0.4% |
|
65+ |
81.6% |
16.3% |
0% |
2% |
0% |
|
Had your work unfairly criticised |
|||||
|
18-24 |
80% |
13.3% |
3.3% |
3.3% |
0% |
|
25-34 |
69.3% |
21.7% |
4.5% |
3.9% |
0.6% |
|
35-44 |
60.1% |
30.7% |
4.8% |
3.4% |
1% |
|
45-54 |
56.5% |
34.3% |
5.6% |
2.9% |
0.7% |
|
55-64 |
61.9% |
32.7% |
2.9% |
1.9% |
0.7% |
|
65+ |
77.6% |
20.4% |
2% |
0% |
0% |
|
Received rude demands from a colleague |
|||||
|
18-24 |
93.3% |
3.3% |
3.3% |
0% |
0% |
|
25-34 |
62.8% |
25.2% |
7.1% |
3.9% |
1% |
|
35-44 |
60.9% |
29.8% |
4.2% |
4.3% |
0.8% |
|
45-54 |
63.1% |
27.6% |
5.7% |
2.9% |
0.7% |
|
55-64 |
71.7% |
22.9% |
3.1% |
1.7% |
0.5% |
|
65+ |
85.7% |
14.3% |
0% |
0% |
0% |
|
Been sent conflicting information |
|||||
|
18-24 |
73.3% |
16.7% |
10% |
0% |
0% |
|
25-34 |
38.2% |
36.6% |
13.9% |
9.4% |
1.9% |
|
35-44 |
35.5% |
42.1% |
11.9% |
8% |
2.8% |
|
45-54 |
34.7% |
44.4% |
11.1% |
7.9% |
1.9% |
|
55-64 |
43.1% |
43.2% |
8.9% |
2.9% |
1.9% |
|
65+ |
63.3% |
32.7% |
2% |
0% |
2% |
|
Been bypassed in group communications that are relevant to your work role |
|||||
|
18-24 |
66.7% |
23.3% |
6.7% |
3.3% |
0% |
|
25-34 |
52.4% |
27.8% |
9.1% |
7.8% |
2.9% |
|
35-44 |
39.7% |
38.9% |
11.9% |
5.9% |
3.6% |
|
45-54 |
37.2% |
41.1% |
11.2% |
7.2% |
3.3% |
|
55-64 |
42.9% |
42% |
6.9% |
5.7% |
2.4% |
|
65+ |
59.2% |
26.5% |
8.2% |
2% |
4.1% |
|
Been the subject of communications that undermine you |
|||||
|
18-24 |
90% |
6.7% |
0% |
3.3% |
0% |
|
25-34 |
70.9% |
18.4% |
4.5% |
4.5% |
1.6% |
|
35-44 |
64.4% |
26.5% |
4.6% |
3.1% |
1.5% |
|
45-54 |
56.7% |
31.2% |
5.9% |
4.4% |
1.8% |
|
55-64 |
62.4% |
28.8% |
4.5% |
2.9% |
1.3% |
|
65+ |
71.4% |
24.5% |
2% |
2% |
0% |
|
Received unreasonable work demands |
|||||
|
18-24 |
80% |
20% |
0% |
0% |
0% |
|
25-34 |
46.6% |
27.5% |
11% |
10% |
4.9% |
|
35-44 |
37.7% |
36% |
11.9% |
8.6% |
5.8% |
|
45-54 |
37.9% |
36.5% |
12% |
8.5% |
5.1% |
|
55-64 |
47.2% |
36.4% |
9.2% |
4.8% |
2.4% |
|
65+ |
57.1% |
30.6% |
6.1% |
6.1% |
0% |
|
Been pressured into responding to technology mediated communications at all times |
|||||
|
18-24 |
80% |
16.7% |
3.3% |
0% |
0% |
|
25-34 |
60.5% |
20.7% |
9.7% |
5.5% |
3.6% |
|
35-44 |
53.6% |
26.7% |
6.7% |
7.5% |
5.5% |
|
45-54 |
53.1% |
28% |
7.2% |
6.7% |
5% |
|
55-64 |
60.3% |
26.9% |
4.7% |
5.2% |
2.9% |
|
65+ |
75.5% |
20.4% |
0% |
2% |
2% |
| Note: N18-24=30; N25-34=309; N35-44=877; N45-54=1291; N55-64=750; N65+=49 | |||||
- In terms of cyberbullying victimisation experiences among respondents covering a managerial role versus a non-managerial role, an average of 37.5% of respondents with a managerial role endured all cyberbullying aspects “now and then”, versus 30.6% of those with no managerial duties. Managers were also slightly more likely to endure cyberbullying monthly (7.8%) compared to non-managers (6%). Weekly and daily cyberbullying rates were similar across managers and non-managers, with 5.4% of managers and 4.3% of non-mangers enduring cyberbullying weekly and 1.8% of managers and 1.9% of those with a non-managerial role being cyberbullied daily.
- Significant statistical differences were found between respondents with a managerial role and those with no managerial duties, with managers reporting significantly higher scores in terms of cyberbullying victimisation compared to respondents with no managerial duties (see Appendix).
|
Have you experienced any of the following acts from a senior colleague, peer, junior colleague or student, via email, instant messaging, text messages, on social media, on Conference Apps (Zoom, Microsoft Teams, etc.)? |
|||||
|
Never |
Now and then |
Monthly |
Weekly |
Daily |
|
|
Received messages that have a disrespectful tone |
|||||
| Managerial role |
37.7% |
49.8% |
6.9% |
4.8% |
0.8% |
| Non-managerial role |
46.3% |
42.4% |
5.6% |
4.8% |
0.8% |
|
Been unfairly blamed |
|||||
| Managerial role |
54.4% |
35.8% |
4.5% |
4.6% |
0.6% |
| Non-managerial role |
63.7% |
27.8% |
4.2% |
3.2% |
1.1% |
|
Received aggressively worded messages |
|||||
| Managerial role |
62.9% |
30.2% |
3.6% |
2.8% |
0.4% |
| Non-managerial role |
71.3% |
21.8% |
4.2% |
2.1% |
0.7% |
|
Had another staff member copy people into messages that reflect poorly on you |
|||||
| Managerial role |
49.9% |
39.3% |
6.7% |
3.4% |
0.7% |
| Non-managerial role |
63.9% |
29.1% |
3.9% |
2.5% |
0.6% |
|
Had your work unfairly criticised |
|||||
| Managerial role |
53.9% |
37.5% |
5.2% |
2.8% |
0.4% |
| Non-managerial role |
62.8% |
28.7% |
4.3% |
3.1% |
1.1% |
|
Received rude demands from a colleague |
|||||
| Managerial role |
59.2% |
30.8% |
5.5% |
3.9% |
0.6% |
| Non-managerial role |
67.2% |
24.6% |
4.5% |
2.9% |
0.8% |
|
Been sent conflicting information |
|||||
| Managerial role |
31.2% |
45.5% |
13.8% |
7.4% |
2.1% |
| Non-managerial role |
40.8% |
40.8% |
9.6% |
6.6% |
2.3% |
|
Been bypassed in group communications that are relevant to your work role |
|||||
| Managerial role |
35.4% |
41.9% |
12.6% |
7.3% |
2.8% |
| Non-managerial role |
43.5% |
37.5% |
9.1% |
6.4% |
3.5% |
|
Been the subject of communications that undermine you |
|||||
| Managerial role |
54.2% |
33.1% |
6.6% |
4.8% |
1.3% |
| Non-managerial role |
64.8% |
25.6% |
4.4% |
3.4% |
1.8% |
|
Received unreasonable work demands |
|||||
| Managerial role |
34.8% |
37.3% |
12.7% |
10.1% |
5.1% |
| Non-managerial role |
44.1% |
34.2% |
10.2% |
6.9% |
4.6% |
|
Been pressured into responding to technology mediated communications at all times |
|||||
| Managerial role |
48.6% |
30.9% |
7.4% |
7.6% |
5.6% |
| Non-managerial role |
59.1% |
24.4% |
6.3% |
6% |
4.1% |
| Note: Nmanagers: 1124 Nnon-managers: 2238 | |||||
- Overall, the prevalence of cyberbullying was comparable across all work areas. Academics working in the field of AHSS-BL were more likely to experience cyberbullying “now and then” (34.7%), followed by respondents in the Professional/Technical work area (33.6%) and by those who did not disclose their work area or whose area of work was not listed in the survey (“other”; 32%). A relatively lower number of respondents in the STEM-MH area were bullied “now and then” (31.4%), whereas research fellows and those working in research centres reported lower rates of occasional (“now and then”) cyberbullying victimisation (24.6%). Lower rates of cyberbullying victimisation were found in the “monthly”, “weekly”, and “daily” categories. For ease of readability, the rates for the 11 cyberbullying items are presented in two separate tables (Table 27 and 28).
- Significant statistical differences were found among respondents working in different areas, with respondents working in the AHSS-BL area enduring higher levels of cyberbullying compared to both academics in the STEM-MH area and to respondents working in the Professional/Technical area.
- Of the people who reported experiencing cyberbullying, 43.7% identified a senior colleague as the perpetrator; 29.8% a peer; 10.7% a student; 8.1% a junior colleague, and 7.7% identified someone else (other) as the perpetrator of cyberbullying.
|
Have you experienced any of the following acts from a senior colleague, peer, junior colleague or student, via email, instant messaging, text messages, on social media, on Conference Apps (Zoom, Microsoft Teams, etc.)? |
|||||
|
Never |
Now and then |
Monthly |
Weekly |
Daily |
|
|
Received messages that have a disrespectful tone |
|||||
| AHSS-BL | 35.7 | 50.3 | 7.3 | 5.4 | 1.3 |
| STEM-MH | 44.5 | 44.8 | 5.4 | 4.6 | 0.7 |
| Research | 62.7 | 27.3 | 7.3 | 2 | 0.7 |
| Professional/Technical | 46.2 | 43.3 | 5.4 | 4.5 | 0.6 |
| Prefer not to say/Other | 45.3 | 42.6 | 5.3 | 6.8 | 0 |
|
Been unfairly blamed |
|||||
| AHSS-BL |
58.1% |
32.1% |
4.8% |
3.3% |
1.6% |
| STEM-MH |
64% |
29.5% |
3.1% |
2.9% |
0.5% |
| Research |
65.3% |
23.3% |
5.3% |
5.3% |
0.7% |
| Professional/Technical |
60% |
30.8% |
4.5% |
3.9% |
0.8% |
| Prefer not to say/Other |
60% |
30% |
4.2% |
5.8% |
0% |
|
Received aggressively worded messages |
|||||
| AHSS-BL |
65.2% |
26.3% |
5.4% |
2.3% |
0.9% |
| STEM-MH |
68.7% |
24.4% |
4.1% |
2.3% |
0.5% |
| Research |
78.7% |
14% |
3.3% |
3.3% |
0.7% |
| Professional/Technical |
69.7% |
24.7% |
3% |
2.2% |
0.4% |
| Prefer not to say/Other |
67.9% |
25.3% |
3.7% |
3.2% |
0% |
|
Had another staff member copy people into messages that reflect poorly on you |
|||||
| AHSS-BL |
61.8% |
31.3% |
4% |
2% |
0.9% |
| STEM-MH |
64.3% |
29% |
4.1% |
2.3% |
0.4% |
| Research |
66.7% |
22.7% |
6.7% |
3.3% |
0.7% |
| Professional/Technical |
53.7% |
36.6% |
5.6% |
3.5% |
0.6% |
| Prefer not to say/Other |
57.9% |
32.6% |
4.7% |
4.2% |
0.5% |
|
Had your work unfairly criticised |
|||||
| AHSS-BL |
56.6% |
34.1% |
4.8% |
3.5% |
0.9% |
| STEM-MH |
62.2% |
30.5% |
3.7% |
2.7% |
0.9% |
| Research |
66.7% |
22.7% |
5.3% |
4% |
1.3% |
| Professional/Technical |
60.5% |
31.9% |
4.3% |
2.5% |
0.8% |
| Prefer not to say/Other |
56.8% |
28.9% |
8.9% |
4.7% |
0.5% |
|
Received rude demands from a colleague |
|||||
| AHSS-BL |
60.4% |
29.9% |
5.4% |
3.3% |
1% |
| STEM-MH |
69.5% |
23.6% |
4.4% |
1.9% |
0.7% |
| Research |
74.7% |
18% |
1.3% |
5.3% |
0.7% |
| Professional/Technical |
64.2% |
26.6% |
4.8% |
3.6% |
0.7% |
| Prefer not to say/Other |
60% |
28.9% |
6.8% |
3.7% |
0.5% |
|
Been sent conflicting information |
|||||
| AHSS-BL |
34.9% |
42.1% |
12.4% |
8.2% |
2.4% |
| STEM-MH |
42% |
40% |
9.7% |
6.4% |
2% |
| Research |
47.3% |
31.3% |
12% |
6.7% |
2.7% |
| Professional/Technical |
36% |
45% |
10.9% |
6.1% |
2.2% |
| Prefer not to say/Other |
37.4% |
43.7% |
8.9% |
7.4% |
2.6% |
|
Been bypassed in group communications that are relevant to your work role |
|||||
| AHSS-BL |
40.6% |
39.2% |
9.2% |
7.6% |
3.4% |
| STEM-MH |
44.2% |
36.7% |
12% |
4.2% |
2.9% |
| Research |
47.3% |
33.3% |
9.3% |
6.7% |
3.3% |
| Professional/Technical |
38.7% |
40.9% |
9.9% |
7.2% |
3.3% |
| Prefer not to say/Other |
36.8% |
38.9% |
12.1% |
8.4% |
3.7% |
|
Been the subject of communications that undermine you |
|||||
| AHSS-BL |
58.1% |
29.7% |
5.9% |
3.8% |
2.5% |
| STEM-MH |
64.5% |
25.4% |
4.9% |
4.2% |
0.9% |
| Research |
62% |
27.3% |
6% |
4% |
0.7% |
| Professional/Technical |
61.8% |
28.9% |
4.5% |
3.2% |
1.6% |
| Prefer not to say/Other |
59.5% |
26.3% |
5.8% |
7.4% |
1.1% |
|
Received unreasonable work demands |
|||||
| AHSS-BL |
34% |
36.9% |
14.2% |
7.9% |
6.9% |
| STEM-MH |
42.6% |
34.9% |
10.5% |
8.6% |
3.3% |
| Research |
50% |
29.3% |
10% |
7.3% |
3.3% |
| Professional/Technical |
44.1% |
35.5% |
9.5% |
6.9% |
4% |
| Prefer not to say/Other |
41.6% |
30.5% |
8.4% |
13.7% |
5.8% |
|
Been pressured into responding to technology mediated communications at all times |
|||||
| AHSS-BL |
47% |
29.8% |
8.4% |
8.7% |
6.2% |
| STEM-MH |
54.3% |
26.2% |
8.2% |
7.3% |
4% |
| Research |
62.7% |
21.3% |
6% |
6% |
4% |
| Professional/Technical |
61.6% |
25.4% |
4.6% |
4.8% |
3.6% |
| Prefer not to say/Other |
57.9% |
24.2% |
6.8% |
4.7% |
6.3% |
| Note: AHSS-BL= Academics: Arts, Humanities, Social Sciences and Business and Law (N=970); STEM-MH = Academics: Science, Technology, Engineering, Mathematics and Medicine and Health (N=753); Research = Research Fellow and Research Centre/Institute (N=150); Professional/Technical = Professional, Managerial and Support Services and Technical Support (N=1299); Prefer not to say/Other= work area undisclosed or not listed in the survey (N=190) | |||||
- In terms of the impact of cyberbullying on respondents’ general wellbeing, between 11.1% and 41.7% reported that cyberbullying had a negative impact on their feelings and general wellbeing “sometimes”; between 6.3% and 55.6% were “often” negatively affected and between 1.1% and 31.3% were negatively affected “always”10.
- Higher rates of respondents who did not disclose their gender identity reported feeling “always” “sad and in a bad mood” compared to those who disclosed their gender. Non-binary and those who did not disclose their gender were more likely to feel “often” and “always” “tense and nervous”, “inactive and with low energy” and “tired and unrested when waking up” compared to those who identified themselves as male and female. However, as outlined above, a small number of people either identified themselves as non-binary or did not disclose their gender, which prevents us from generalising these findings. A higher rate of female respondents reported feeling “sometimes” “tired and unrested when waking up” compared to all other gender identities.
- A higher rate of LGBTQ+ respondents and of respondents who did not disclose their gender reported negative feelings and emotions “often” and “always” compared to heterosexual respondents. However, a slightly higher rate of heterosexual respondents reported “sometimes” being negatively affected by cyberbullying compared to respondents with other sexual orientations and to those who did not disclose their sexual orientation.
- Higher rates of respondents belonging to ethnic minorities and of respondents who did not disclose their ethnicity reported either “often” or “always” being negatively affected by cyberbullying, compared to the other ethnic groups.
- Higher rates of respondents with a disability showed negative emotions “often” and “always” compared with those with no disabilities.
|
Thinking of the cyberbullying experiences you endured at work, did they have a negative impact on your mental health and wellbeing? |
|||||
|
Never |
Seldom |
Sometimes |
Often |
Always |
|
|
I felt sad and in a bad mood |
|||||
| Overall |
15.9% |
21.3% |
38.7% |
18.5% |
5.6% |
| Female |
13.8% |
20% |
41.3% |
19.1% |
5.9% |
| Male |
20.7% |
24.3% |
33.9% |
16.4% |
4.7% |
| Non-Binary |
18.8% |
31.3% |
25% |
18.8% |
6.3% |
| Gender undisclosed |
13.9% |
9.7% |
41.7% |
25% |
9.7% |
| Heterosexual |
16.7% |
21.4% |
39.3% |
17.4% |
5.3% |
| LGBTQ+ |
11.8% |
20.7% |
35.9% |
24.2% |
7.4% |
| Sexual orientation undisclosed |
0% |
33.3% |
33.3% |
22.2% |
1.1% |
| Irish |
15.8% |
21% |
40.2% |
18% |
5.1% |
| Any other White background |
18.2% |
23.8% |
32% |
19.9% |
6.2% |
| Ethnic Minority |
13% |
21.7% |
26.1% |
27.5% |
11.6% |
| Ethnicity undisclosed |
9.1% |
20% |
34.5% |
18.2% |
18.2% |
| Disability |
14.7% |
12.6% |
37.8% |
27.3% |
7.7% |
| No disability |
16.5% |
21.5% |
39.3% |
17.4% |
5.2% |
|
I felt tense and nervous |
|||||
| Overall |
16.5% |
18.9% |
33.8% |
22% |
8.8% |
| Femalea |
14.3% |
16.6% |
35.5% |
23.6% |
9.9% |
| Malea |
21.9% |
23.3% |
30.7% |
18.4% |
5.7% |
| Non-Binary |
12.5% |
18.8% |
31.3% |
6.3% |
31.3% |
| Gender undisclosed |
11.1% |
9.7% |
31.9% |
34.7% |
12.5% |
| Heterosexual |
17.6% |
18.8% |
33.9% |
21.4% |
8.4% |
| LGBTQ+ |
11.1% |
19.4% |
33.3% |
25.1% |
11.1% |
| Sexual orientation undisclosed |
0% |
22.2% |
33.3% |
22.2% |
22.2% |
| Irish |
16.7% |
18.8% |
35% |
21.1% |
8.4% |
| Any other White background |
17.9% |
19.1% |
27.6% |
27.3% |
8.2% |
| Ethnic Minority |
7.2% |
24.6% |
26.1% |
26.1% |
15.9% |
| Ethnicity undisclosed |
10.9% |
14.5% |
32.7% |
20% |
21.8% |
| Disability |
11.2% |
12.6% |
29.4% |
28.7% |
18.2% |
| No disability |
17.3% |
19.2% |
34.3% |
21.1% |
8.1% |
|
I felt inactive and with low energy |
|||||
| Overall |
28.2% |
20.3% |
29.4% |
17.2% |
4.9% |
| Female |
26.1% |
20.3% |
31.4% |
16.9% |
5.3% |
| Male |
33.6% |
20.4% |
25.7% |
16.4% |
3.9% |
| Non-Binary |
31.3% |
6.3% |
25% |
25% |
12.5% |
| Gender undisclosed |
18.1% |
12.5% |
33.3% |
27.8% |
8.3% |
| Heterosexual |
29.2% |
20.8% |
29.5% |
16% |
4.5% |
| LGBTQ+ |
22.9% |
17.6% |
28.8% |
23.5% |
7.2% |
| Sexual orientation undisclosed |
11.1% |
22.2% |
0% |
55.6% |
11.1% |
| Irish |
28.7% |
20.2% |
29.9% |
16.4% |
4.8% |
| Any other White background |
27.6% |
21.4% |
27.6% |
18.8% |
4.7% |
| Ethnic Minority |
17.4% |
23.2% |
26.1% |
29% |
4.3% |
| Ethnicity undisclosed |
21.8% |
14.5% |
21.8% |
29.1% |
12.7% |
| Disability |
18.9% |
11.9% |
31.5% |
39.4% |
8.4% |
| No disability |
29.4% |
20.3% |
29.2% |
16.5% |
4.5% |
|
I felt tired and unrested when waking up |
|||||
| Overall |
24.5% |
18.1% |
27.6% |
21.2% |
8.7% |
| Female |
21.7% |
17.8% |
29.2% |
22.2% |
9% |
| Male |
31.2% |
19.1% |
24.1% |
18.5% |
7.2% |
| Non-Binary |
37.5% |
6.3% |
18.8% |
6.3% |
31.3% |
| Gender undisclosed |
16.7% |
11.1% |
23.6% |
34.7% |
13.9% |
| Heterosexual |
25.3% |
18.4% |
27.8% |
20.2% |
8.3% |
| LGBTQ+ |
20.7% |
16.8% |
26.4% |
25.9% |
10.2% |
| Sexual orientation undisclosed |
11.1% |
11.1% |
11.1% |
44.4% |
22.2% |
| Irish |
24.6% |
18.5% |
28.3% |
20.5% |
8.1% |
| Any other White background |
27% |
16.1% |
23.8% |
23.5% |
9.7% |
| Ethnic Minority |
17.4% |
17.4% |
20.3% |
29% |
15.9% |
| Ethnicity undisclosed |
12.7% |
14.5% |
29.1% |
25.5% |
18.2% |
| Disability |
20.3% |
9.8% |
25.9% |
28% |
16.1% |
| No disability |
25.5% |
18.3% |
27.5% |
20.5% |
8.2% |
| Note: Nfemale=1868; Nmale=876; Nnon-binary=16; Ngender undisclosed=71; Nheterosexual=2372; NLGBTQ+=273; Nsexual orientation undisclosed=186; NIrish=2366; NWhite background=341; NEthnic minority=69; Nethnicity undisclosed=55; Ndisability=143; Nno disability=2384 | |||||
- In terms of the impact of cyberbullying on different age-groups, findings show that a higher rate of respondents in the 25-34 age range reported negative feelings “often” or “always”, followed by respondents in the 35-44 and in the 45-54 age range.
|
Thinking of the cyberbullying experiences you endured at work, did they have a negative impact on your mental health and wellbeing? |
|||||
|
Never |
Seldom |
Sometimes |
Often |
Always |
|
|
I felt sad and in a bad mood |
|||||
| 18-24 |
47.4% |
21.1% |
26.3% |
5.3% |
0% |
| 25-34 |
16.4% |
23.8% |
28.3% |
23.4% |
8.2% |
| 35-44 |
13% |
22.5% |
39.8% |
19.2% |
5.5% |
| 45-54 |
16.4% |
20% |
39.1% |
18.6% |
5.9% |
| 55-64 |
17.7% |
21.7% |
41.1% |
15.9% |
3.6% |
| 65+ |
25.8% |
45.2% |
19.4% |
9.7% |
0% |
|
I felt tense and nervous |
|||||
| 18-24 |
36.8% |
26.3% |
21.1% |
15.8% |
0% |
| 25-34 |
27.5% |
19.3% |
25.8% |
23% |
4.5% |
| 35-44 |
13.8% |
19.4% |
33.1% |
25% |
8.7% |
| 45-54 |
16.4% |
17.5% |
35.4% |
20.9% |
9.8% |
| 55-64 |
21% |
18.9% |
34.6% |
19.2% |
6.2% |
| 65+ |
25.8% |
45.2% |
19.4% |
9.7% |
0% |
|
I felt inactive and with low energy |
|||||
| 18-24 |
42.1% |
31.6% |
5.3% |
21.1% |
0% |
| 25-34 |
27.5% |
19.3% |
25.8% |
23% |
4.5% |
| 35-44 |
28.1% |
21.3% |
29.5% |
16.3% |
4.7% |
| 45-54 |
27.3% |
19.7% |
30.3% |
17% |
5.7% |
| 55-64 |
30.5% |
21% |
29.6% |
15.4% |
3.4% |
| 65+ |
32.3% |
25.8% |
19.4% |
22.6% |
0% |
|
I felt tired and unrested when waking up |
|||||
| 18-24 |
57.9% |
15.8% |
15.8% |
5.3% |
5.3% |
| 25-34 |
25.8% |
20.1% |
22.1% |
20.5% |
11.5% |
| 35-44 |
24.8% |
19.6% |
25.6% |
22.3% |
7.8% |
| 45-54 |
22.6% |
17.3% |
29.9% |
20.8% |
9.5% |
| 55-64 |
27.1% |
17.6% |
28.4% |
19.7% |
7.2% |
| 65+ |
32.3% |
25.7% |
19.4% |
22.6% |
0% |
| Note: N18-24=19; N25-34=244; N35-44=759; N45-54=1117; N55-64=609; N65+=31 | |||||
- The proportions of managers and non-managers who reported being negatively affected by cyberbullying were comparable, with an average of 19.9% of managers and 19.6% non-managers reported being “often” affected by cyberbullying. A slightly higher rate of respondents with a non-managerial role (7.8% on average) were likely to “always” feel negative emotions because of being cyberbullied, compared to managers (5.6%).
|
Thinking of the cyberbullying experiences you endured at work, did they have a negative impact on your mental health and wellbeing? |
|||||
|
Never |
Seldom |
Sometimes |
Often |
Always |
|
|
I felt sad and in a bad mood |
|||||
| Managerial role |
16.8% |
20.3% |
41.5% |
17.5% |
4% |
| Non-managerial role |
15.4% |
21.8% |
37.2% |
19% |
6.5% |
|
I felt tense and nervous |
|||||
| Managerial role |
16.6% |
19.9% |
34.3% |
22.4% |
6.7% |
| Non-managerial role |
16.5% |
18.3% |
33.5% |
21.7% |
10% |
|
I felt inactive and with low energy |
|||||
| Managerial role |
28.8% |
19.8% |
30.9% |
17% |
3.6% |
| Non-managerial role |
27.8% |
20.6% |
28.5% |
17.4% |
5.7% |
|
I felt tired and unrested when waking up |
|||||
| Managerial role |
23.3% |
18.2% |
27.5% |
22.7% |
8.3% |
| Non-managerial role |
25.2% |
18.1% |
27.6% |
20.3% |
8.8% |
| Note: Nmanagers:1008; Nnon-managers:1823 | |||||
SECTION 3: Bystander Behaviour
Survey respondents were asked if they ever witnessed any negative behaviours at work, in the past three years.
- On average, 34.5% of respondents witnessed negative acts at work at least “now and then”. The most common negative act witnessed by employees participating in this survey involved witnessing “someone being ignored and excluded”, with 41% witnessing this negative act at work “now and then”, 8.9% monthly, 6.9% weekly and 3.9% daily.
- Gossip and rumours were witnessed “now and then” by 38.6% of respondents; 8.9% of respondents witnessed this monthly; 6.8% weekly and 2.5% daily. Thirty point-three percent (30.3%) of respondents had witnessed someone at work being threatened, insulted or offended “now and then”, 5.9% witnessed this monthly and 4.5% and 1.9% witnessed this behaviour respectively weekly and daily.
- More overt negative acts involving shouting at others were witnessed less frequently; 28% witnessed this “now and then”; 3.5% monthly; 2.5% weekly and 1% daily (Figure 9).
Figure 9. Prevalence of Different Bystander Behaviours
Respondents who witnessed negative acts at work were asked if experiencing this had a negative impact on them in terms of their mental health and wellbeing.
- Three-point-three percent (3.3%) of staff members reported that witnessing negative acts at work did not bother them at all; 12.1% were not bothered much; 31.2% reported that witnessing negative acts at work had a mild impact on them; 36.6% reported that it had a negative impact and 16.8% reported that it had a strong negative impact on them (Figure 10).
Figure 10. Impact of Witnessing Negative Acts at Work on Respondents’ Mental Health and Wellbeing
- In terms of the status of the perpetrator of the negative acts witnessed at work, 42.7% of respondents reported that the perpetrator was a senior colleague to the targeted employee; 36.5% identified a peer to the targeted employee as the perpetrator of the negative acts. In 8.3% of cases, the perpetrator was a junior colleague to the targeted employee; in 6.9% of cases it was a student, whereas 5.5% reported that someone else (other) was the perpetrator (Figure 11).
Figure 11. Professional Status of the Perpetrators as Reported by Bystanders of Negative Acts at Work

After reading the bullying definition, respondents were asked to indicate whether they had witnessed workplace bullying in the past three years including any period of remote working.
- Over a third of respondents (35.3%) indicated that they had witnessed bullying, whereas 64.7% indicated that they had not.
Figure 12. Percentages of Respondents Who Witnessed Bullying
- When asked if they had taken any actions to tackle the bullying incidents that they witnessed, 50.5% of respondents who witnessed bullying indicated that they took action while 49.5% indicated that they did not intervene.
- More than half of respondents who took action (63%) strongly agreed that they intervened because they wanted the bullying to end.
- Forty-six-point-two percent (46.2%) of respondents reported that they took action because they felt concerned for the targeted employees.
- Thirty-one-point four percent (31.4%) strongly agreed that they took action because they hoped that their behaviour would be followed by other people in their Department, and one quarter of respondents who took action did so because they were afraid that the bullying could negatively affect the work group (Table 32).
|
Strongly disagree |
Disagree |
Neither agree nor disagree |
Agree |
Strongly agree |
|
|
0.9% |
0.7% |
4% |
48.2% |
46.2% |
|
|
3.5% |
6.6% |
21.1% |
43.8% |
25% |
|
|
1.4% |
3.7% |
18% |
45.5% |
31.4% |
|
|
0.5% |
0.2% |
1.4% |
34.9% |
63% |
- Over a third of respondents (39.8%) who did not intervene when witnessing bullying, strongly agreed that they did not take action because they were not confident that they would have found someone to sympathetically listen to them. Another frequent reason for not taking action had to do with the lack of confidence that intervening would have changed the situation (39%).
- Almost a third of respondents who did not take action (32.6%) were afraid they would endure negative consequences for speaking up. Moreover, 32.1% did not want to embarrass others. Another 32.1% strongly agreed that they did not take action because their superiors would have not been open to listen to them and because of being afraid of negative consequences for themselves (32.1%).
- Twenty-nine-point-three percent (29.3%) strongly agreed that they did not take action because they were afraid of becoming vulnerable in the face of peers. Moreover, 23.5% strongly agreed that they did not intervene to avoid getting into troubles, whereas 23.2% did not want to hurt other feelings. Finally, 22.5% strongly agreed that they did not take action because they did not know how to report the incident (Table 33).
|
Strongly disagree |
Disagree |
Neither agree nor disagree |
Agree |
Strongly agree |
|
|
17.1% |
30.3% |
21.9% |
8.2% |
22.5% |
|
|
3.9% |
7.8% |
15.9% |
32.6% |
39.8% |
|
|
2.9% |
2.3% |
8.7% |
47.1% |
39% |
|
|
4.3% |
6.6% |
20.1% |
36.9% |
32.1% |
|
|
5.5% |
5% |
10.5% |
46.9% |
32.1% |
|
|
8.9% |
11.6% |
24.1% |
27.1% |
29.3% |
|
|
5.7% |
7.7% |
12.1% |
41.9% |
32.6% |
|
|
12.7% |
20.7% |
25.1% |
9.4% |
32.1% |
|
|
13.9% |
24.4% |
30.8% |
7.7% |
23.2% |
|
|
15.2% |
21.6% |
28.5% |
0% |
23.5% |
SECTION 4: Anti-bullying Culture and Awareness of Anti-Bullying Policies
Survey respondents were asked if an anti-bullying policy was in place at their HEI.
- Sixty-four point five percent (64.5%) of respondents were aware of their institution’s anti-bullying policy, whereas 2% reported that their institution did not have an antibullying policy, and the remaining 33.5% were unsure (Figure 13).
Figure 13. Respondents’ Awareness of Anti-Bullying Policies at Their HEI
- When asked if the anti-bullying policy and procedures contribute to effectively protecting all staff members, 20.8% of respondents agreed with this statement and 6.3% strongly agreed.
- Only 13.5% of respondents agreed with the statement that their workplace actively discourages bullying, and 23.9% agreed that bullying is against the values of their workplace.
- Only 8% of respondents strongly agreed that their workplace makes an active effort to tackle bullying. Over a third of respondents either agreed (24.5%) or strongly agreed (13.6%) that bullying goes unnoticed in their workplace (Figure 14).
Figure 14. Perception of Anti-Bullying Policy and Anti-Bullying Culture

SECTION 5: Team Psychological Safety and Work Demands
Survey respondents were asked if they felt free to express their views and supported by their team, which could be referred to as team psychological safety. It appears that respondents feel some sense of psychological safety in their work team (Table 34).
- Thirty-six-point-five percent (36.5%) of respondents disagreed with the claim “If I make a mistake in my team, it is often held against me”. Similarly, 47.6% agreed that members of their team can bring up problems and difficult issues.
- Over a third of respondents (34.8%) strongly disagreed with the claim “People on my team sometimes reject others for being different”, whereas 15.3% agreed with this statement and only 4% agreed. Moreover, 32.4% agreed and 8% strongly agreed that they felt safe to take risks in their team. Fifteen-point-four percent (15.4%) of respondents agreed and 5.6% strongly agreed that they found it difficult to ask for help to other members of their team.
- On a positive note, 29.3% agreed and 19.7% strongly agreed that other team members would not undermine their own efforts. Finally, over one third (36.2%) agreed and 14.4% strongly agreed that their skills and talents were utilised within their team.
|
Strongly disagree |
Disagree |
Neither agree nor disagree |
Agree |
Strongly agree |
|
|
27.6% |
36.5% |
19.9% |
12.5% |
3.5% |
|
|
8.8% |
14.5% |
15.5% |
47.6% |
13.6% |
|
|
34.8% |
29.1% |
16.8% |
15.3% |
4% |
|
|
8.8% |
19.2% |
29.9% |
34.2% |
8% |
|
|
25.6% |
37.3% |
16% |
15.4% |
5.6% |
|
|
10% |
21.4% |
19.6% |
29.3% |
19.7% |
|
|
10.6% |
14.9% |
23.9% |
36.2% |
14.4% |
Survey respondents were asked to indicate the extent to which they felt that their HEI was pressuring them to be productive.
- Twenty-six-point-eight percent (26.8%) and 17.1% of respondents respectively agreed or strongly agreed that they are expected to do too much in a day.
- Over a third of respondents (35.8%) reported that their workloads are demanding.
- In addition, 32.4% of respondents agreed and 26.1% strongly agreed that employees in their HEI are under pressure to work as hard as possible (Figure 15).
Figure 15. Pressure to Produce

Survey respondents were asked to indicate the extent to which they perceived their lives to be balanced in terms of being able to juggle work and non-work activities.
- Thirty-four percent (34%) of respondents to this survey reported that their personal life suffers because of work, 32.6% reported that they find it difficult to juggle work and non-work activities. In addition, 30.8% were not happy with the amount of time at their disposal to carry out non-work activities.
Figure 16. Work-life Balance

DISCUSSION OF FINDINGS
The present survey study investigated HEIs employees’ experiences of enduring and witnessing bullying at work, along with their awareness of anti-bullying policies and their perception of the anti-bullying culture within their institutions.
Subtle forms of negative acts, such as being withheld important information affecting the target’s performance and being ignored and excluded were common forms of bullying across all demographic groups and work-categories. Cyberbullying acts commonly experienced by survey respondents were also subtle and covert (e.g., being sent conflicting information; receiving unreasonable work demand). This is coherent with previous literature showing that workplace bullying has mainly a psychological nature (Einarsen et al., 2010) and that online and offline bullying behaviors could be subtle and difficult to pinpoint (Samnani, 2013). Female employees reported higher levels of cyberbullying victimisation compared to male employees. This finding is coherent with previous research showing that female employees working in HEIs are more likely to be targeted by cyberbullying, which might be related to power imbalances among employees with different gender identities (Cassidy et al., 2014). Overall, LGBTQ+ respondents were more likely to endure both negative acts at work and cyberbullying compared to heterosexuals. In the past few decades, Ireland has made important steps in relation to the inclusion of people who identify themselves as LGBTQ+. For instance, Ireland became the first country to legalise same-sex marriage on a national level by popular vote, setting a milestone in terms of shifting from conservative to liberal attitudes. Despite the progress made in terms of LGBTIQ+ rights, yet, within the Irish society, homophobic attitudes persist, with research showing that 1 in 4 employees are harassed at work due to their sexual orientation or gender identity (GLEN, 2015). This, in turn, could explain the workplace bullying endured by LGBTQ+ and gender diverse people. Taken together, these findings suggest that LGBTQ+ employees are vulnerable to different types of negative experiences at work and that more needs to be done to promote diversity and inclusion in the workplace.
Findings also showed that respondents who identified themselves with an ethnic minority group were more likely to experience both negative acts at work and cyberbullying compared to Irish respondents and to those with any other White background. These findings resonate with a recent report published by the Economic and Social Research Institute, ESRI (McGinnity et al., 2021), showing that 20% of ethnic minority workers reported being discriminated in the workplace, almost three times the average range of workplace discrimination across various business sectors (7% among employees with a White background; McGinnity et al., 2021).
Interestingly, respondents who did not disclose some of their demographic information (gender, sexual orientation, ethnicity) reported higher levels of enduring negative acts at work and cyberbullying compared to those who disclosed their demographic information. These findings could indicate that employees who are bullied at work are afraid of reporting their negative experiences, even when data are collected anonymously. This could be due to a number of factors, including fear of losing their job and fear that disclosing their experiences could cause bullying to escalate (Carter et al., 2013; Hutchinson & Jackson, 2014). However, only a small proportion of respondents did not disclose their demographic information, indicating that these findings are far from being generalisable.
In terms of age differences, respondents aged 45-54 reported higher levels of enduring the nine negative acts compared to younger respondents aged 18-24 and 25-34. However, these latter groups were less numerous compared to the 45-54 age group, suggesting that comparisons among groups should be interpreted cautiously. Respondents aged 35-44 and 45-54 reported higher rates of cyberbullying victimisation compared to both younger and older employees. These findings could be relatively surprising as one may expect younger respondents to spend more time online. However, this survey study assessed workorientated cyberbullying behaviours, which could be more common among older respondents, whereas younger respondents could be subjected to person-orientated cyberbullying acts (e.g., on social media), which were not assessed in this survey study. However, these speculations warrant further investigation.
Respondents with a disability were more likely to endure negative acts at work and cyberbullying compared to those with no disabilities. These findings are coherent with recent report findings showing that employees with a disability endure high levels of workplace discrimination (McGinnity et al., 2021), which calls for evidence-based programmes aimed to specifically tackle disablist bullying.
Overall, managers were more likely to experience both negative acts at work and cyberbullying compared to those who did not cover a managerial role. These findings resonate with a recent study conducted with a school personnel sample in Irish primary and post-primary schools, which found that members of senior management teams experienced higher levels of victimisation compared to teachers (Mazzone et al., 2022). The authors of the study suggested that the imbalance of power between the perpetrator and the target might be psychological rather than based on actual hierarchies within organisations (Diefenbach & Sillince, 2011). Hence, even those who sit at the top of the organisational hierarchy could be bullied by either someone of equal status or by a subordinate with more social capital (Baillien et al., 2009).
The rates of negative acts at work were comparable across respondents working in different work areas; however, academics in the field of Social Sciences and Business and Law (AHSSBL) and those who did not disclose their work area reported higher levels of negative acts compared to employees in the Professional/Technical area. Academics in the AHSS-BL field were more likely to be cyberbullied compared to those in the STEM-MH area and to respondents employed in the Professional/Technical area. As shown in previous research, the higher education context is characterised by critiques, debates and intellectual analysis (Yamada, 2008), which could be maliciously undertaken to undermine the professional standing, authority and competence of other fellow academics within the higher academic culture, thus resulting in acts of bullying (Keashly & Neuman, 2010). Moreover, as higher education institutions increasingly compete for funding, academic staff find themselves under pressure, which can contribute to a growing incidence of bullying (Hodgins & MannixMcNamara, 2021). However, it is likely that some contextual variables not assessed in this study contributed to these significant differences. For instance, a number of factors including, the neoliberal management style within Irish HEIs, the culture of academia (i.e. temporary contracts, heavy reliance on grants), the pressure on employees to meet targets and to publish research papers, while competing for promotions could increase the risk for workplace bullying (Hodgins & Mannix-McNamara, 2021; Keashly, 2021).
After being prompted to read the bullying definition, over a third of respondents (33.5%) reported having being bullied in the past three years. These figures are relatively higher compared to previous research (Nielsen, et al., 2009). In fact, higher rates of bullying are found when survey instruments do not include a bullying definition, compared to measures providing a bullying definition. This could be related to survey respondents avoiding selflabelling themselves as victims of bullying (Nielsen et al., 2009). Thus, it is surprising that the rates of bullied respondents are higher compared to previous studies. However, this survey study adopted a different criterion of exposure to bullying in terms of duration (past three years), compared to previous research (past six months). Thus, the higher rates of bullying found in this study could be related to the wider timeframe adopted. Most respondents (70.6%) reported that bullying was severe in terms of duration, in that it took place over the course of several months. A lower rate of respondents reported that they endured bullying for a short time (a week or two: 10.7%; just one day: 11.3%), which could indicate that these respondents were subjected to negative behaviours at work lacking the systematic and repeated nature of bullying. These findings resonate with the results yielded in terms of the duration of negative acts at work. Indeed, whereas a low rate of respondents indicated that they endured negative acts at work “weekly” (work-orientated: 5%; person-orientated: 3.5%) and “daily” (work-orientated: 2%; person-orientated: 2.2%), about a third of respondents indicated that they were bullied “now and then”. Although bullying is by definition a repeated and systematic behaviour (Baillien, et al., 2017), these occasional negative acts could be an expression of uncivil behaviour in the workplace. Incivility encompasses low-intensity conduct lacking a clear intent to harm, but that violates social norms and injuries the target individuals (Cortina, 2008). Finally, high proportions of respondents who did not disclose their demographic information or who belonged to minority groups reported that they endured bullying at work in the past three years, which could be related to the reluctance to report bullying as mentioned above.
In terms of the professional status of the perpetrator, a consistent proportion of respondents (45.7%) who endured negative acts at work identified a senior colleague as the perpetrator of bullying. Similarly, most people who were cyberbullied identified a senior colleague (43.7%) as the perpetrator of cyberbullying. These findings resonate with the empirical evidence that workplace bullying is an expression of power abuse and that, as such, it is mainly perpetrated by superiors (De Cieri et al., 2019; Einarsen et al., 2009). This is also confirmed by the finding that a low number of respondents identified either a junior colleague or a student as the perpetrators of negative acts at work and of cyberbullying. However, almost a third of respondents (31.8%) identified a peer as the perpetrator of negative acts at work and 29.8% indicated that a peer was the perpetrator of cyberbullying. These findings might be ascribed to the informal nature of power, which could be based on interpersonal relationships (e.g., social capital), competence and experience (Branch et al., 2013).
After being prompted to read the bullying definition, over half of respondents (55%) indicated that they had been bullied by either a senior colleague or by a peer (24.6%). A higher proportion of female respondents and of those who did not disclose their gender endured bullying at work compared to male respondents. Also, a higher proportion of LGBTQ+ and of those who did not disclose their sexual orientation endured bullying compared to heterosexuals. These findings resonate with the results yielded for negative acts at work and for cyberbullying. Again, a higher rate of respondents with a disability reported having endured bullying at work compared to respondents with no disabilities, whereas no significant differences were found for managers and non-managers. A higher proportion of Academics in both AHSS-BL and STEM-MH area and those who did not disclose their work area were likely to be bullied compared to the other work areas.
A consistent proportion of respondents enduring negative acts at work reported negative emotions and a poor general wellbeing. A higher rate of female respondents and employees belonging to different minority groups reported being either “often” or “always” in a negative mood as a result of enduring negative acts at work and cyberbullying. These findings could be in relation with the barriers to accessing psychological services (Cronin et al., 2021) experienced by minority groups, which could worsen the impact of bullying.
In terms of bystander behaviour, about one third of respondents (34.5%) witnessed negative acts at work “now and then”, with 36.6% of the bystanders reporting that witnessing negative acts at work had a negative impact on them and 16.8% reporting that it had a strong negative impact on their mental health and wellbeing. These finding resonate with previous research showing that over 40% of staff in higher education institutions witnessed bullying at work and that witnessing bullying has a detrimental effect on their mental and physical health (Thomas, 2005). Coherently with what has been found for employees who were victimised, bystanders reported that in most cases the perpetrators of bullying were either senior colleagues (42.7%) or peers to the targeted employee (36.5%).
After being prompted to read the bullying definition, over a third of respondents (35.5%) reported having witnessed bullying in the past three years, and half of them (50.5%) reported that they took action. Most respondents who took action (63%) did so because they wanted the bullying to end. Another common reason for intervening involved feelings of concern for the targeted employee, suggesting that some bystanders show feelings of empathy for those who are targeted by bullying (Mazzone et al., 2022). A consistent proportion of respondents (49.5%) did not take action when witnessing bullying. Over a third of them (39.8%) did not take action because they were not confident that their intervention would have changed the situation. Coherently with previous research, employees did not speak-up because of fear of retaliation or repercussion and because they felt it would be futile to speak their point (Knoll et al., 2021; Morrison, 2014).
On a positive note, most respondents (64.5%) were aware of their institution’s anti-bullying policy, whereas a third of respondents (33.5%) were unsure as to whether an anti-bullying policy had been put into place at their institution and only 2% reported that their institution did not have an anti-bullying policy. Overall, over 20% of respondents either agreed (20.8%) or strongly agreed (6.3%) that the anti-bullying policy and procedures contributed to effectively protecting the staff members.
Overall, respondents reported feeling safe in their team. For example, almost half of respondents (47.6%) felt that they could bring up problems and difficult issues to their team and over a third of respondents (36.5%) felt that they would not be blamed by other team members for their mistakes. Also, over a third of respondents (34.8%) disagreed with the claim that people on their team would be rejected for being “different”. Nevertheless, as shown above, people belonging to minority groups reported enduring both bullying and cyberbullying experiences. Thus, respondents in the overall sample may not have the perception that their colleagues with a disability or those belonging to sexual minorities and/or ethnic minorities endure bullying at work. One possible explanation for this finding is that some bullying acts could either be trivialised and normalised within workplaces or that people belonging to minority groups are not rejected openly; i.e., bullying could take covert forms (LaVan & Martin, 2008).
Overall, a consistent proportion of respondents (between 26% and 35%) felt that they had a heavy workload and that their work-life balance suffered because of work. As suggested in previous research, heavy workloads can be tolerated and even necessary in extractive late capitalism, where working long hours and going above and beyond in pursuit excellence is the norm (Hodgins & Mannix-McNamara, 2021). These organisational practices can even sustain bullying acts on a structural level (Hodgins & Mannix-McNamara, 2021).
RECOMMENDATIONS
The findings of this survey study are important for policymakers at the national and organisational level as they assist in focussing towards potential strategies to prevent workplace bullying among HEIs employees. Some of the key recommendations following from this survey study include:
- Awareness, Education and Training.
- Implementing evidence-based programmes.
- Supporting targets of bullying and bystanders.
- Developing anti-bullying policies in consultation with employees.
- Ongoing research to further investigate and monitor the prevalence of workplace bullying in HEIs.
Raising awareness around online and offline bullying, while promoting and reinforcing a positive workplace culture are paramount to successfully tackling bullying. Online professional learning resources with a focus on recognising, responding, and preventing bullying in the workplace should be integrated within HEIs learning and development curricula. Importantly, training programmes should be aimed at raising awareness around safe and effective strategies to report bullying from a bystander perspective. Moreover, anti-bullying training should include a diversity and equality component aimed to promote an inclusive organisational culture.
Although a proactive approach involving awareness raising and prevention should be the preferred option, counselling services (e.g., Employee Assistance Programme) could be beneficial in terms of supporting bullied employees. Trauma-informed models of care have been suggested to be effective psychotherapy approaches to be adopted with employees who suffer from the negative mental health outcomes of bullying (Duffy & Brown, 2018). Based on the data presented in this report, bystanders can experience adverse mental health outcomes. Thus, psychological support services, should be available for both targets and bystanders.
Anti-bullying intervention programmes should draw on the actual experiences of employees in HEIs, while engaging employees in the creation and implementation of anti-bullying programmes. In other words, employees should not be seen as passive recipient of predefined intervention programmes, but as active agents of change. This approach enhances employees’ sense of agency and ownership, which in turn increases the chances for intervention programmes to be successful (Osatuke et al., 2009). Based on these considerations, it is recommended for anti-bullying experts to collaborate with employees towards the implementation of anti-bullying programmes reflecting the needs of staff in HEIs. Moreover, the findings of this survey study support the notion that workplace bullying should be seen as a phenomenon involving further individuals beyond the bullied employee and the perpetrator (Paull et al., 2020). Thus, a whole-organisational approach targeting all employees within HEIs should be adopted when tackling bullying in the workplace.
As shown above, survey respondents were not very confident that reporting the bullying incidents that they had witnessed would be effective, neither they showed much trust in anti-bullying policies. Previous research has shown that bullied employees often receive a poor response from their institution and that HEIs are often unwilling to accept the existence of bullying in the workplace (Fahie, 2020). Moreover, if the presence of bullying is acknowledged, managers or Human Resources frequently dismiss cases (Hodgins & Mannix-McNamara, 2019). Alternatively, bullying could be supported either implicitly or explicitly in an effort to increase productivity and work output (Fahie, 2020). Based on previous research and on the findings of this survey study, it is paramount to increase HEIs’ staff trust that the institution will handle bullying effectively. Safe complaint systems should be put into place for bystanders to report bullying without them fearing negative consequences to their self-image, status or career progression. One of the viable strategies to promote employee trust in anti-bullying policies lies in the engagement of HEIs’ staff in developing anti-bullying policies through open consultation (that is, taking into consideration staff’s inputs and views in relation to anti-bullying policies).
Regular survey studies with data collected annually are recommended to help monitoring the phenomenon of workplace bullying within HEIs. Moreover, survey studies should be combined with focus groups and interviews, which could offer a deeper understanding of the lived experiences of staff members in HEIs.
LIMITATIONS AND FUTURE DIRECTIONS
Findings of this study are based on a large sample, yet only 11.5% of employees working in the HEIs invited to participate in this study completed the survey. With a few exceptions, the effect size estimates were in the small to moderate range (see Appendix). Therefore, caution should be exercised when generalising the findings of this survey study. Finally, this report is limited by the cross-sectional design of the study, which calls for longitudinal studies to further explore the issues investigated in this survey study.
1 The sections followed a different order in the online survey. However, for ease of readability, this report combines the sections assessing similar constructs.
2 The labels “female”, “male” and “non-binary” throughout the text and in the Results section pertain to respondents’ gender identity.
3 Given the low number of survey respondents with a non-Irish background, respondents belonging to ethnic minority groups were combined into a single group (Ethnic minority) including: Chinese, Indian/Pakistani/Bangladeshi, any other Asian background, African, any other Black background, Arabic, Mixed background, Irish Traveller, Roma, Other.
4 Given the low number of LGBTQ+ survey respondents, those who identified themselves as: Asexual, Bisexual, Gay, Lesbian, Queer and “Other” were combined into a single group (LGBTQ+).
5 The findings presented in the text were obtained by averaging the rates of respondents selecting respectively “now and then”, “monthly”, “weekly” and “daily” across the items assessing respectively work-orientated and person-orientated negative acts.
6 Significant differences were tested on the nine negative acts (a composite score was obtained by averaging the nine items assessing both work-orientated and person-orientated negative acts at work). See Appendix for more details.
7 The findings presented in the text were obtained by averaging the rates of respondents selecting respectively, “seldom”, “sometimes”, “often” and “always” across the items assessing the impact of the negative acts on respondents’ mental health.
8 Pearson Chi-Square Test analyses were performed to assess the associations between bullying victimisation experiences and respectively: Gender, sexual orientation, ethnic identity, age, disability, managerial role and work area. More detailed findings can be found in the Appendix.
9 The findings presented in the text were obtained by averaging the rates of respondents selecting respectively “now and then”, “monthly”, “weekly” and “daily” across the cyberbullying items.
10 The percentages reported in the text refer to respondents with different backgrounds in terms of gender, sexual orientation, ethnic identity and disability.
Appendix
Methods
The items included in the survey were taken from previous validated questionnaires, which have been widely adopted in the field of Organisational Psychology and workplace bullying research studies. The questions inquiring about respondents’ demographics were taken from a previous sexual harassment survey commissioned by the Department of Further and Higher Education, Research, Innovation and Science (MacNeela et al., 2022), whereas those inquiring about respondents’ professional status, work arrangements, impact of bullying and cyberbullying on mental health and wellbeing, reasons for not taking action when witnessing bullying, anti-bullying culture, and knowledge and implementation of anti-bullying policies were created for the purposes of this survey.
The research team in DCU Anti-Bullying Centre (ABC) emailed their contact points in each HEI, asking them to circulate the survey link to all employees. Two reminders were sent after the initial invitation to fill out the survey. The survey went live on November 22nd 2021 and remained open until December 23rd 2021.
DCU Research Ethics Committee (REC) granted approval for this research study (DCUREC/2018/152). Survey respondents were presented with a plain language statement explaining the goals of the project, and were asked to fill out a written informed consent prior to completing the survey. After completion, respondents were provided with the contact numbers, website link and Freephone of relevant support services, which they were advised to consult if they needed help in relation to their bullying experiences.
Survey Instruments
The demographic information assessed in this survey study included: a) Biological sex, b) Gender identity, c) Correspondence between sex assigned at birth and gender identity, d) Age group, e) Ethnicity, f) Sexual orientation, g) Functional diversity (disability), h) Pay grade, i) The length of time respondents had been employed with their HEI, and l) the HEI they were currently working for.
The survey inquired about respondents’ main area of work or disciplinary area, their contract type and the number of years they had been in their current role. A question assessing respondents’ managerial versus non-managerial role was also included in the survey.
Respondents were asked to indicate their work arrangements (remote versus in-person work) at the time of the survey and during the coronavirus disease-19 (COVID-19) pandemic lockdowns respectively. More in detail, respondents were asked: a) whether they worked primarily with colleagues and students online, offline, blended; b) with how many colleagues and students they engaged with on a daily basis or if they did not engage with colleagues and students in their work.
The Short Negative Acts Questionnaire-Revised (SNAQ-R; Notelaers, et al., 2019) was administered to collect information about respondents’ experiences of negative acts in the workplace. The SNAQ-R includes 3 items assessing work-orientated negative acts, which involve behaviours targeting someone’s professional status, such as professional discredit and denigration (Park et al., 2017; e.g., “Someone withholding information which affects your performance”) and 6 items assessing person-orientated negative acts, which involve targeting someone’s personal standing through covert (social exclusion; spreading gossips and rumours; e.g., Being ignored or excluded) and overt behaviours (being insulted; e.g., “Having insulting or offensive remarks made about your person, attitudes or your private life”). Response options ranged from never (1) to daily (5).
The above questions were followed-up by four items inquiring about the impact of the negative acts on employees’ wellbeing (WHO-5 Wellbeing index; Topp et al., 2015). Respondents indicated on a five-point Likert scale ranging from never (1) to (5), the frequency to which they felt: a) Sad and in a bad mood; b) Tense and nervous; c) Inactive and with low energy; d) Tired and unrested when waking up.
After being prompted with a bullying definition (HSA, 2021), respondents were asked to indicate if they endured any workplace bullying experiences (Einarsen et al., 1999) in the past three years, (response options: Yes/No). Employees who indicated that they were bullied in the past three years were asked to indicate how often the bullying happened (response options ranged from now and then to daily) and how long it lasted (response options ranged from just one day to several months). Finally, they were also asked to indicate the professional status of the perpetrator (senior colleague, peer, junior colleague, student, other).
The Workplace Cyberbullying Measure (WCM), (Farley et al., 2016) consisting of 11 items was used to assess the degree of employees’ exposure to cyberbullying in the workplace in the past three years. Response options ranged from never (1) to daily (5).
The cyberbullying items were followed by four items inquiring about the impact of cyberbullying on respondents’ mental health and wellbeing. The four items were the same as those inquiring about the impact of enduring negative acts at work (see above). Respondents indicated the frequency to which they were exposed to the 11 cyberbullying behaviours in the past three years, including any periods of remote working (response options ranged from never = 1 to daily = 5).
Respondents’ experiences of witnessing negative acts at work were assessed through four items adjusted from the SNAQ-R (Notelaers et al., 2019). Response options ranged from never (1) to daily (2). Respondents were also presented with a follow-up question inquiring about the perpetrator’s professional status (whether the perpetrator was a superior, a colleague, or a subordinate to the targeted employee).
One item inquired about the impact that witnessing the negative acts at work had on respondents’ mental health and wellbeing. Response options ranged from it did not bother me at all (1) to it had a strong negative impact on me (5).
Based on the HSA bullying definition presented above, respondents were asked whether they had witnessed workplace bullying in their institution in the last three years (response options: Yes/No). Survey respondents were also inquired about the reasons for taking action (Knoll et al., 2014), versus not taking action when witnessing bullying. Respondents were asked to indicate their degree of agreement with each item on a Likert-scale ranging from strongly disagree (1) to strongly agree (5).
Respondents’ perception of their HEI being able to effectively tackling bullying was assessed through four items specifically developed for the purposes of this study. Respondents were asked to indicate their degree of agreement with each item on a Likert-scale ranging from strongly disagree (1) to strongly agree (5).
Two items were specifically created for this survey to assess the knowledge and implementation of anti-bullying policies in respondents’ respective HEIs. Firstly, respondents were inquired about their HEIs having implemented an anti-bullying policy (response option: Yes/No/Unsure). A follow-up question was presented to respondents who indicated that their HEI had an anti-bullying policy in place (“My workplace actively discourages bullying”). Response option for the follow-up question ranged from strongly disagree (1) to strongly agree (5).
Seven items were used to assess respondents’ sense of confidence in relation to their team members being supportive and trusting of each other. (Edmonson, 1999). Response options ranged from strongly disagree (1) to strongly agree (5).
Three items from the Organisational Climate Measure (OCM; Patterson et al., 2005) were used to assess pressure to produce, which can be defined as the organisational demands to attaint operational goals for the purpose of increasing organisational profits and/or efficiency (Patterson et al., 2005). Response options ranged from strongly disagree (1) to strongly agree (5).
Respondents were asked to indicate their degree of agreement with three items inquiring about their work-life balance, namely the extent to which they were able to find a balance between their personal and work life (Hayman, 2005). Response options ranged from strongly disagree (1) to strongly agree (5).
Data Analysis
Analyses were performed using IBM SPSS Statistics software version 27. Frequencies and/or percentages were calculated for all study variables. Scores for the SNAQ-R and for the cyberbullying questionnaire were computed by averaging respondents’ responses across all respective items (α=.86 for the SNAQ-R and α=.92 for the cyberbullying questionnaire). Due to the negative acts and the cyberbullying variables being not normally distributed, standardised z-scores were used to perform all inferential statistical tests (independent samples t-tests, ANOVAs and Chi-square analyses – see below).
A series of univariate analyses of variance (one-way ANOVAs) with Tukey post-hoc tests were performed to test whether the mean scores on the nine negative acts differed across respondents with different backgrounds in terms of: a) gender identity; b) sexual orientation; c) ethnic identity; d) age; e) work area; f) with and without a disability and g) with and without a managerial role. Hedges’ g was used as an effect size estimate (Lakens, 2013). Chi-square analyses were performed to determine any significant differences in the proportion of respondents - in the aforementioned groups - who indicated that they were bullied at work after being prompted to read the bullying definition. Due to the Chi-square test being sensitive to large sample size, the Cramer’s V coefficient was used to detect the strength of the associations between the variables (Lin et al., 2013). The values for this test range from 0 to 1, with larger values indicating stronger associations between the variables (see below). A series of independent samples t-test were performed to test for any significant differences in terms of enduring negative acts at work, and cyberbullying respectively between managers and respondents with no managerial duties and between respondents with a disability and with no disability. A series of univariate analyses of variance (one-way ANOVAs) were performed to test for any significant differences among the aforementioned groups in terms of enduring cyberbullying at work. Findings for all inferential statistics are presented below.
A one-way ANOVA was performed to test whether the mean scores on the nine negative acts differed among respondents with different gender identities. Findings showed a statistically significant difference in terms of the negative acts at work endured by respondents with distinct gender identities (F(3, 3454) = [12,498], p<.001). Tukey’s test for multiple comparisons showed that, those who did not disclose their gender identity were more likely to endure negative acts at work compared to both females (p<.001, 95% C.I. = [.39, .97]; Hedges’ g=.65) and males (p<.001, 95% C.I. = [.38, .98]; Hedges’ g=.64).
A one-way ANOVA was performed to test whether the mean scores on the nine negative acts differed among respondents with different sexual orientations. Findings showed that there was a statistically significant difference in terms of enduring the nine negative acts among respondents with distinct sexual orientations (F(2, 3455) = [22,767], p<.001). Tukey’s test for multiple comparisons showed that LGBTQ+ respondents experienced higher levels of negative acts at work compared to heterosexuals (p<.05, 95% C.I. = [.00, .27]; Hedges’ g=.16). Respondents who did not disclose their sexual orientation experienced higher levels of negative acts at work compared to both heterosexuals (p<.001, 95% C.I. = [.29, .62]; Hedges’ g=.49) and to LGBTQ+ respondents (p<.001, 95% C.I. = [.11, .52]; Hedges’ g=.27).
A one-way ANOVA was performed to test whether the mean scores on the nine negative acts differed among respondents with different ethnic backgrounds. Findings showed that there was a statistically significant difference in terms of enduring the nine negative acts between respondents with an Irish background, those with a White ethnic background and ethnic minorities and those who did not disclose their ethnicity (F(3, 3454) = [21,397], p<.001). More in detail, Tukey’s test for multiple comparisons showed that ethnic minorities experienced higher levels of negative acts at work compared to both Irish respondents (p=.002, 95% C.I. = [.10, .63]; Hedges’ g=.33) and respondents with “any other White background” (p<.001, 95% C.I. = [.13, .70]; Hedges’ g=.45). Also, those who did not disclose their ethnicity experienced higher levels of enduring negative acts at work compared to Irish respondents (p<.001, 95% C.I. = [.57, 1.23]; Hedges’ g=.17), to respondents with “any other White background” (p<.001, 95% C.I. = [.60, 1.29]; Hedges’ g=.93) and to ethnic minorities (p=.005, 95% C.I. = [.12, .95]; Hedges’ g=.45).
A one-way ANOVA was performed to test whether the mean scores on the nine negative acts differed among respondents of different age groups. A statistically significant difference in terms of enduring the nine negative acts was found between respondents belonging to distinct age groups (F(6, 3451)=15,571, p<.001). Tukey’s test for multiple comparisons revealed that respondents aged 45-54 reported higher mean levels of the nine negative acts compared to both respondents aged 18-24 (p<.05, 95% C.I. = [.01, 1.07]; Hedges’ g=.50) and to those aged 25-34 (p<.05, 95% C.I. = [.02, .38]; Hedges’ g=.17).
A one-way ANOVA was performed to test whether the mean scores on the nine negative acts differed among different work categories. A statistically significant difference was found between respondents working in distinct work areas (F(4, 3453)=3611, p<.01). Tukey’s test for multiple comparisons revealed that respondents in the AHSS-BL reported higher levels of negative acts at work compared to respondents in the Professional/Technical area (p<.05, 95% C.I. = [.00, .22]; Hedges’ g=.17). Respondents who did not disclose their work area reported higher levels of negative acts at work compared to those in the Professional/Technical area (p<.05, 95% C.I. = [.00, .41]; Hedges’ g=.32).
An independent sample t-test was performed to test for any significant differences in terms of bullying victimisation (nine negative acts) between respondents who disclosed that they had a disability and those with no disabilities. Findings showed that respondents with a disability (M=.44; sd= 1.19) reported significantly higher levels of negative acts at work, compared to respondents with no disabilities [(M=-.06; sd=.96); t(175.052) = 5.27, p<.001; Hedges’ g=.65].
An independent sample t-test was performed to test for any significant differences in terms of negative acts between respondents who covered a managerial role and those who did not cover a managerial role. Findings showed that respondents covering a managerial role (M=.07; sd= 1) reported significantly higher levels of negative acts at work, compared to respondents who did not cover a managerial role ([M=-.04; sd=1), t(3456) =3.04, p<.01; Hedges’ g=.12],
A Pearson Chi-Square Test was performed to assess the association between bullying victimisation experiences and gender. Findings showed a significant association between gender and bullying victimisation, indicating that the proportion of respondents in each group differed significantly from each other (x2(3) = 15.507, p<.01; Cramer’s V=.07). The standardised residuals (z= 2.5) were significant for respondents who did not disclose their gender. Thus, the proportion of bullied respondents who did not disclose their gender (50%) was significantly higher compared to the proportion of female, male and non-binary respondents who were bullied at work (see relevant section for more details on prevalence of bullying victimisation in each group). These findings should, however, be interpreted cautiously due to the small sub-samples including respondents who did not disclose their gender (N=74).
A Pearson Chi-Square test was performed to assess the association between bullying victimisation experiences and sexual orientations. Findings showed evidence of a significant association between sexual orientation and bullying victimisation (x2(2) = 16.488, p<.001; Cramer’s V=.07). The standardised residuals (z=3.2) were significant for respondents who did not disclose their sexual orientation (46.7%), indicating that the proportion of bullied respondents who did not disclose their sexual orientation was significantly higher compared to the proportion of bullied respondents who identified as either heterosexuals or LGBTQ+ (see relevant section for more details on prevalence of bullying victimisation in each group).
A Pearson Chi-Square Test was performed to assess the association between bullying victimisation experiences and ethnic identity. Findings showed a significant association between ethnic identity and bullying victimisation (x2(3) = 14.950, p<.001; Cramer’s V=.07). The standardised residuals (z=2.4) were significant for respondents who did not disclose their ethnic identity. More in detail, a significantly higher proportion of respondents who did not disclose their ethnic identity (51.8%) reported having being bullied at work in the past three years compared to respondents who disclosed their ethnicity (see relevant section for more details on prevalence of bullying victimisation in each group).
A Pearson Chi-Square Test was performed to assess the association between bullying victimisation experiences and age. Findings showed evidence of a significant association between age and bullying victimisation (x2(6) = 46.778, p˂.001; Cramer’s V=.12). The standardised residuals were significant for respondents aged 45-54 (z=2). These findings indicate that a significantly higher proportion of respondents in the 45-54 (36.8%) age groups were bullied compared to respondents in the other age groups (see relevant section for more details on prevalence of bullying victimisation in each group). These findings should, however, be interpreted cautiously due to the low number of respondents in some of the age groups (N18-24=26; N65+=47).
A Pearson Chi-Square Test was performed to assess the association between bullying victimisation experiences and disability. Findings showed a significant association between having a disability and bullying victimisation (x2(2) = 23.627, p<.001; Cramer’s V=.08). The standardised residuals were significant for respondents with a disability (z=3.2), indicating that a higher proportion of respondents with a disability (48.1%) were bullied at work in the past three years, compared to respondents with no disability (31.9%). However, the subsample of bullied respondents presenting a disability comprised only of 75 respondents, suggesting that these findings are far from being generalisable.
A Pearson Chi-Square Test was performed to assess the association between bullying victimisation experiences and managerial status. Findings showed no significant differences in terms of the proportions of respondents covering a managerial role and those with no managerial role who endured bullying victimisation experiences at work.
A Pearson Chi-Square Test was performed to assess the association between bullying victimisation experiences and work area. Findings showed a significant association between working in specific job areas and enduring bullying at work (x2(4) = 10.486, p<.05; Cramer’s V=.06). A higher proportion of respondents who did not disclose their work area or whose work area was not listed in the survey (38.8%) were bullied at work, compared to respondents in the other work areas. However, the standardised residuals were non-significant.
A one-way ANOVA was performed to test whether the cyberbullying victimisation scores differed between respondents with different gender identities. Findings showed that there was a statistically significant difference in terms of cyberbullying victimisation among groups with different gender identities (F (3, 3358) = [14,678], p<.001). Tukey’s test for multiple comparisons showed that females reported higher levels of cyberbullying victimisation compared to males (p<.001, 95% C.I. = [.00, .20]; Hedges’ g=.10). Those who did not disclose their gender identity reported higher levels of cyberbullying victimisation compared to both females (p<.05, 95% C.I. = [.33, .92]; Hedges’ g=0.61) and males (p<.001, 95% C.I. = [.45, 1.02]; Hedges’ g=0.74).
A one-way ANOVA was performed to test whether the mean cyberbullying victimisation scores differed among respondents with different sexual orientations. Findings showed that there was a statistically significant difference in terms of cyberbullying victimisation among respondents with different sexual orientations (F (2, 3359) = [20,876], p<.001). Tukey’s test for multiple comparisons showed that LGBTQ+ respondents reported higher cyberbullying levels compared to heterosexuals (p<.05, 95% C.I. = [.01, .29]; Hedges’ g=0.15). Respondents who did not disclose their sexual orientation reported higher cyberbullying victimisation scores compared to both heterosexuals (p<.001, 95% C.I. = [.27, .61]; Hedges’ g=.45) and LGBTQ+ respondents (p<.05, 95% C.I. = [.08, .50]; Hedges’ g=.25).
A one-way ANOVA was performed to test whether the mean cyberbullying victimisation scores differed between respondents with different ethnic identities. Findings showed that there was a statistically significant difference in terms of cyberbullying victimisation among respondents with different ethnic identities (F (3, 3358) = [18,297], p<.001). Tukey’s test for multiple comparisons showed that respondents who did not disclose their ethnic identity reported higher cyberbullying victimisation scores compared to Irish respondents (p<.001, 95% C.I. = [.60, 1.3]; Hedges’ g=.93), to respondents with any other White background (p<.001, 95% C.I. = [.64, 1.3]; Hedges’ g=.92) and to those identifying themselves with an ethnic minority group (p<.001, 95% C.I. = [.41, 1.2]; Hedges’ g=.60).
A one-way ANOVA was performed to test whether the mean cyberbullying victimisation scores differed among respondents of different age groups. Findings showed that there was a statistically significant difference in terms of the reported experiences of cyberbullying endured by respondents in distinct age groups (F (6, 3355) = [20,778], p<.001). Tukey’s test for multiple comparisons showed that respondents aged 25-34 reported higher cyberbullying victimisation scores compared to those aged 18-24 (p<.05, 95% C.I. = [.03, 1.1]; Hedges’ g=.58). Respondents aged 35-44 scored higher compared to those aged 18-24 (p<.05, 95% C.I. = [.15, 1.2]; Hedges’ g=.68), to the 55-64 age group (p<.001, 95% C.I. = [.07, .36]; Hedges’ g=.22) and to those aged above 65 (p<.01, 95% C.I. = [.12, .97]; Hedges’ g=.54). Finally, respondents aged 45-54 reported higher cyberbullying victimisation scores compared to respondents aged 18-24 (p<.01, 95% C.I. = [.16, 1.2]; Hedges’ g=.72), and to those in the 55-64 (p<., 95% C.I. = [.09, .36]; Hedges’ g=.24) and 65+ age groups (p<.01, 95% C.I. = [.14, .98]; Hedges’ g=.57).
A one-way ANOVA was performed to test whether the mean cyberbullying victimisation scores differed among respondents working in different areas. Findings showed that there was a statistically significant difference in terms of cyberbullying victimisation among respondents working in different areas (F (4, 3357) = [4788], p˂.001). Tukey’s test for multiple comparisons showed that respondents working in the AHSS-BL area scored higher in terms of cyberbullying victimisation compared to both academics in the STEM-MH area (p<.05, 95% C.I. = [.04, .31]; Hedges’ g=.17) and to respondents working in the Professional/Technical area (p<.05, 95% C.I. = [.02, .25] Hedges’ g=.13).
An independent sample t-test was performed to test for any significant differences in terms of cyberbullying victimisation between respondents with a disability and without a disability. Findings showed that respondents with a disability (M=.42; sd= 1.2) reported higher levels of cyberbullying victimisation compared to those with no disability (M=-.05; sd=.96); t(172.357) = 4.90, p<.001; Hedges’ g=.50).
An independent sample t-test was performed to test for any significant differences in terms of cyberbullying victimisation between respondents who covered a managerial role and those who did not cover a managerial role. Findings showed that there was a statistically significant difference between respondents who were managing other employees (M=.13; sd =.99) and those who did not manage other employees ([M=-.06; sd=1), t(3360) =5.33, p<.001; Hedges’ g=.21], with managers reporting higher cyberbullying victimisation scores.
Survey
Thank you for taking the time to complete this survey. We have provided some information about this research project below.
This survey is about the work-related experiences of staff working in higher education institutions. This survey includes five sections:
Section 1: Demographics
Section 2: Work-related experiences
Section 3: Work demands
Section 4: Interactions in the workplace
Section 5: Work-related behaviours and institutional policies
This research is being conducted by Dr Angela Mazzone and Prof. James O'Higgins Norman of the DCU Anti-Bullying Centre (ABC) at Dublin City University. This survey has been facilitated by the Department of Further and Higher Education, Research, Innovation and Science. If you have any important questions regarding the contents of this survey, please contact angela.mazzone@dcu.ie. Information regarding the aims of this survey is provided below.
This survey will take about 15 minutes to complete. The ideal setting for filling out the survey is a quiet environment, where you do not feel observed and can respond accurately to the questions included in this survey. Your participation in this survey is voluntary and it should not entail any risk in either your personal or professional life. Please note that there are no right or wrong answers. Therefore, it is very important that your answers reflect your personal thoughts, experiences and feelings.
By choosing to participate in this research survey, you will get the chance to reflect on your work-related experiences. Your participation will inform policy and best practices in Higher Education Institutions and will help practitioners to create a better work environment.
The survey will not collect any personal identifiable information on you. Aggregate data from the study participants will contribute to the overall research findings. Your data will be stored securely using passwords for the survey software and will not be accessed by anyone outside of the research team (subject to legal limitations). The data will be collected anonymously and protected in accordance with the General Data Protection Regulation (GDPR) - 2016/679 and will be stored for 5 years after completion of the research in accordance with the Data Protection Act, 1998. Please do not provide any information (e.g. name, surname, etc.) that could be used to identify you. Any individual wishing to exercise their Data Subject Rights should contact the DCU Data Protection Officer at data.protection@dcu.ie
Your participation in this research is entirely voluntary. You may close this survey at any point. Please note that if you withdraw from the survey, the data collected up to your withdrawal will be used as detailed in this participant information sheet. This is because this survey does not collect any identifiable information that could be linked to your own answers. The research findings will be used to inform policy and practice in Irish Higher Education Institutions. Findings will also be used for writing papers for publication in scientific journals, and for presenting the findings of this survey at academic conferences.
If you wish to liaise with an independent person about this survey, please contact the Dublin City University Research Ethics Committee at rec@dcu.ie
I give my consent to participate in this survey and understand that I may withdraw from the survey at any point. By ticking each box below, you consent to completing this survey:
□ I confirm that I have read and understood the Participant Information Sheet
□ I understand the information provided
□ I understand the information provided in relation to data protection
□ I understand that I may withdraw from this survey at any point
□ I understand that confidentiality of information provided is subject to legal limitations
□ I confirm that I had the opportunity to ask questions and received satisfactory answers
□ I consent to participate in this survey
We now need some general information about you. Please note that data is collected and held confidentially. To understand your answers for statistical research purposes, we would be grateful if you could provide us with some personal demographic information. Where you do not wish to disclose information, please choose the "prefer not to say" option.
|
What sex were you assigned at birth? |
With which ethnic group do you most identify? (The categories below are those to be used by the Central Statistics Office for Census 2022) |
What is your main area of work/disciplinary area? |
How long have you been employed at your HEI? Please select from the dropdown |
Please indicate how many colleagues or students do you currently work with closely on a daily basis: |
||||
| □ Female □ Male □ Prefer not to say |
□ Chinese □ Indian/Pakistani/Bangladeshi □ Any other Asian background □ African □ Any other Black background □ Arabic □ Mixed background □ Other □ Irish □ Irish Traveller □ Roma □ Any other White background □ Prefer not to say |
□ Academic: Arts, Humanities, Social Sciences □ Academic: Business and Law □ Academic: Science, Technology, Engineering, Mathematics □ Academic: Medicine and Health □ Professional, Managerial and Support Services □ Research Centre/Institute □ Research Fellow □ Technical Support □ Other _________________________________ □ Prefer not to say |
□ Options ranged from less than one year to 40+ | □ 1 to 5 □ 6 to 10 □ More than 10 □ Other (4) _________________________________ |
||||
|
What is your gender identity? |
Please indicate your sexual orientation |
Are you managing other staff members? |
What higher education institution do you currently work for? Please select from the dropdown |
How long have you been in your current role? |
||||
| □ Female □ Male □ Non-Binary □ Prefer not to say |
□ Asexual □ Bisexual □ Gay □ Heterosexual □ Lesbian □ Queer □ A sexual orientation not listed here □ Prefer not to say |
□ Yes □ No |
□ Dublin City University □ Dundalk Institute of Technology □ Dun Laoghaire Institute of Art and Design □ Galway-Mayo Institute of Technology □ Institute of Technology Carlow □ Institute of Technology Sligo □ Letterkenny Institute of Technology □ Mary Immaculate College, Limerick □ Maynooth University □ Munster Technological University □ National College of Art and Design □ NUI Galway □ St. Angela’s College □ Technological University Dublin □ Technological University of the Shannon: Midlands Midwest □ Trinity College Dublin □ University College Cork □ University College Dublin □ University of Limerick □ Waterford Institute of Technology □ I prefer not to answer |
□ Less than 1 year □ 1-5 years □ 6-10 years □ 11-15 years □ 16 years or more □ Prefer not to say |
||||
|
Is your gender the same as you were assigned at birth? |
Do you have any functional diversity? |
What is your current role/grade pay grade? |
Which of the below better reflects your work arrangements during the Covid-19 lockdowns? |
|||||
| □ Yes □ No □ Prefer not to say |
□ Yes □ No □ Prefer not to say |
□ Over €130,000 □ €115,000-€129,999 □ €100,000-€114-999 □ €75,000-€99,999 □ €60,000-74,999 □ €45,000-€59,999 □ €30,000-€44,999 □ €15,000-€29,999 □ Less than €14,999 □ Prefer not to say |
□ I used to work closely with senior colleagues, peers and/or junior colleagues online (work-meetings; collaborative projects etc.) □ I used to work closely with senior colleagues, peers, and/or junior colleagues offline (work-meetings; collaborative projects etc.) □ I used to work closely with senior colleagues, peers and junior colleagues both online and offline □ I worked on my own most of the time □ I engaged with students online (I delivered online classes or assisted students some other way) □ I engaged with students offline (I delivered offline classes or assisted students some other way) □ I engaged with students both offline and online (I delivered both offline and online classes) □ I worked on my own most of the time □ I do not engage with students in my work |
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|
Please indicate your age group |
What is your functional diversity? |
On what contractual basis are you currently employed? Please choose all that apply. |
Do you currently work in a context that requires regular engagement with other people? (team meetings; collaborative projects) |
|||||
| □ 18-24 □ 25-34 □ 35-44 □ 45-54 □ 55-64 □ 65+ □ Prefer not to say |
□ Specific learning difficulty e.g., dyslexia □ Physical or mobility related disability □ Blind or visually impaired □ Deaf or hard of hearing □ Mental health difficulty □ ASD or Aspergers, ADHD or ADD □ Significant ongoing physical illness □ Other _________________________________ □ Prefer not to say |
□ Full-time permanent/indefinite duration □ Part-time permanent/indefinite duration □ Full-time fixed-term contract □ Part-time fixed-term contract □ Hourly paid □ Other _________________________________ □ Prefer not to say |
□ Yes, online - I mostly work with senior colleagues, peers and/or junior colleagues online □ Yes, offline - I mostly work with senior colleagues, peers and/or junior colleagues offline □ Yes, blended - I mostly work with senior colleagues, peers and/or junior colleagues both offline and online □ I work on my own most of the time □ Yes, online - I mostly engage with students online (I deliver classes or assist students in some other way) □ Yes, offline - I mostly engage with students offline (I deliver classes or assist students some other way) □ Yes, blended - I mostly engage with students both offline and online (I deliver classes or assist students some other way) □ I work on my own most of the time □ I do not engage with students in my work |
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Here are some questions related to your experiences at work. Please note that there are no right or wrong answers. We are interested in your actual experiences, feelings and thoughts. Please read each question carefully before answering.
The below questions enquire about your experiences at work in the last three years, including any period of remote working. Have you experienced any of the following acts at work, from a senior colleague, peer, junior colleague, and/or student?
|
Never |
Now and Then |
Monthly |
Weekly |
Daily |
|
|
Someone withholding information which affects your performance |
O |
O |
O |
O |
O |
|
Spreading gossip and rumours about you |
O |
O |
O |
O |
O |
|
Being ignored or excluded |
O |
O |
O |
O |
O |
|
Having insulting or offensive remarks made about your person, attitudes or private life |
O |
O |
O |
O |
O |
|
Being shouted at or being the target of spontaneous rage |
O |
O |
O |
O |
O |
|
Repeated reminders of your errors or mistakes |
O |
O |
O |
O |
O |
|
Being ignored or facing a hostile reaction when you approach someone at work |
O |
O |
O |
O |
O |
|
Persistent criticism of your work and effort |
O |
O |
O |
O |
O |
|
Practical jokes carried out by people you don't get along with |
O |
O |
O |
O |
O |
The person(s) perpetrating the above was/is (please choose all that apply)
□ A senior colleague
□ A peer
□ A junior colleague
□ A student
□ Other _________________________________
Thinking of the negative experiences above, did they have a negative impact on you in terms of your general wellbeing? I felt/I feel…
|
Never |
Seldom |
Sometimes |
Often |
Always |
|
|
Sad and in a bad mood |
O |
O |
O |
O |
O |
|
Tense and nervous |
O |
O |
O |
O |
O |
|
Inactive and with low energy |
O |
O |
O |
O |
O |
|
Tired and unrested when waking up |
O |
O |
O |
O |
O |
The below questions enquire about your experiences at work in the last three years, including any period of remote working. Have you experienced any of the following online acts, from a senior colleague, peer, junior colleague or student - via email, instant messaging, text messages; on social media; on Conference Apps (e.g. Zoom, Microsoft Teams, etc.).
|
Never |
Now and Then |
Monthly |
Weekly |
Daily |
|
|
Received messages that have a disrespectful tone |
O |
O |
O |
O |
O |
|
Been unfairly blamed for work-related problems |
O |
O |
O |
O |
O |
|
Received aggressively worded messages (e.g. using all capital letters, bold font or multiple exclamation marks) |
O |
O |
O |
O |
O |
|
Had another staff member copy people into messages that reflect poorly on you |
O |
O |
O |
O |
O |
|
Had your work unfairly criticised |
O |
O |
O |
O |
O |
|
Received rude demands from a colleague |
O |
O |
O |
O |
O |
|
Been sent conflicting information |
O |
O |
O |
O |
O |
|
Been bypassed in group communications that are relevant to your work role |
O |
O |
O |
O |
O |
|
Been the subject of communications that undermine you |
O |
O |
O |
O |
O |
|
Received unreasonable work demands |
O |
O |
O |
O |
O |
|
Been pressured into responding to technology-mediated communications at all times |
O |
O |
O |
O |
O |
The person(s) perpetrating the above was/is (please choose all that apply)
□ A senior colleague
□ A peer
□ A junior colleague
□ A student
□ Other _________________________________
Thinking of the negative experiences above, did they have a negative impact on you in terms of your general wellbeing? I felt/I feel…
|
Never |
Seldom |
Sometimes |
Often |
Always |
|
|
Sad and in a bad mood |
O |
O |
O |
O |
O |
|
Tense and nervous |
O |
O |
O |
O |
O |
|
Inactive and with low energy |
O |
O |
O |
O |
O |
|
Tired and unrested when waking up |
O |
O |
O |
O |
O |
The below questions enquire about your experiences at work in the last three years, including any period of remote working. Have you witnessed any of the following acts at work, from a senior colleague, peer, junior colleague, or student?
|
Never |
Now and Then |
Monthly |
Weekly |
Daily |
|
|
Have you witnessed someone at work being excluded or ignored? |
O |
O |
O |
O |
O |
|
Have you witnessed someone at work being threatened, insulted or offended? |
O |
O |
O |
O |
O |
|
Have you witnessed gossip and rumours being spread about someone at work? |
O |
O |
O |
O |
O |
|
Have you witnessed someone at work being shouted at or being the target of spontaneous rage? |
O |
O |
O |
O |
O |
The person(s) perpetrating the above was/is (please choose all that apply)
□ A senior colleague
□ A peer
□ A junior colleague
□ A student
□ Other _________________________________
On a scale of 1 to 5, did witnessing the above have a negative impact on you in terms of your mental health and wellbeing?
□ 1- It did not bother me at all
□ 2 - It did not bother me much
□ 3- It had a mild impact on me
□ 4- It had a negative impact on me
□ 5- It had a strong negative impact on me
Please express your degree of agreement with the below statements
|
Strongly disagree |
Disagree |
Neither agree nor disagree |
Agree |
Strongly agree |
|
|
I am expected to do too much in a day |
O |
O |
O |
O |
O |
|
In general, my workloads are not particularly demanding |
O |
O |
O |
O |
O |
|
People here are under pressure to work as hard as possible (meet deadlines; work long hours; deliver projects quickly and efficiently) |
O |
O |
O |
O |
O |
Please express your degree of agreement with the below statements
|
Strongly disagree |
Disagree |
Neither agree nor disagree |
Agree |
Strongly agree |
|
|
My personal life and needs suffer because of work |
O |
O |
O |
O |
O |
|
I find it difficult to juggle work and non-work activities |
O |
O |
O |
O |
O |
|
I am happy with the amount of time I have for non-work activities |
O |
O |
O |
O |
O |
Please indicate the level to which you agree or disagree with the below statements. Please note, that by team members, we mean the colleagues you work with closely on a daily basis and/or your academic Unit/School.
|
Strongly disagree |
Disagree |
Neither agree nor disagree |
Agree |
Strongly agree |
|
|
If I make a mistake in my team, it is often held against me |
O |
O |
O |
O |
O |
|
Members of my team are able to bring up problems and difficult issues |
O |
O |
O |
O |
O |
|
People on my team sometimes reject others for being different |
O |
O |
O |
O |
O |
|
It is safe to take a risk on my team |
O |
O |
O |
O |
O |
|
It is difficult to ask other members of my team for help |
O |
O |
O |
O |
O |
|
No one on my team would deliberately act in a way that undermines my efforts |
O |
O |
O |
O |
O |
|
Working with members of this team, my unique skills and talents are valued and utilised |
O |
O |
O |
O |
O |
Please carefully read the below definition, before responding to each question.
Workplace bullying is repeated inappropriate behaviour, direct or indirect, whether verbal, physical or otherwise, conducted by one or more persons against another or others, at the place of work and/or in the course of employment, which could reasonably be regarded as undermining the individual's right to dignity at work. An isolated incident of the behaviour described in this definition may be an affront to dignity at work, but, as a once-off incident, is not considered to be bullying. A key characteristic of bullying is that it usually takes place over a period of time. It is regular and persistent inappropriate behaviour, which is specifically targeted at one employee or a group of employees. It may be perpetrated by someone in a position of authority, by employees against a manager or by employees in the same grade as the recipient
Keeping in mind the bullying definition above, did you experience anything like that in the past three years including any period of remote working?
□ Yes □ No
How often did it happen?
□ Now and then □ Several times per semester □ Several times per month □ Every week □ Daily
How long did it last?
□ Just one day □ A week or two □ Less than a month □ A month □ Several months
Who perpetrated the bullying?
□ A senior colleague □ A peer □ A junior colleague □ A student □ Other _________________________________
Keeping in mind the bullying definition above:
|
Yes |
No |
|
| Have you witnessed any bullying episode at work, in the past three years, including any period of remote working |
O |
O |
| Did you decide to take action to tackle the bullying incident? |
O |
O |
|
Why did you decide to take action? |
Strongly disagree |
Disagree |
Neither agree nor disagree |
Agree |
Strongly agree |
|
Because I was concerned for the targeted employee |
O |
O |
O |
O |
O |
|
Because I was afraid that the bullying could negatively affect the work group |
O |
O |
O |
O |
O |
|
Because I hoped that my actions would encourage others in the Department/School/Unit to do the same |
O |
O |
O |
O |
O |
|
Because I wanted the bullying to end |
O |
O |
O |
O |
O |
|
Why didn’t you take action? |
Strongly disagree |
Disagree |
Neither agree nor disagree |
Agree |
Strongly agree |
|
Because I did not know how to report a bullying incident |
O |
O |
O |
O |
O |
|
Because I would not have found a sympathetic ear anyway |
O |
O |
O |
O |
O |
|
Because nothing would have changed anyway |
O |
O |
O |
O |
O |
|
Because my superiors are not open to proposals, concerns, or the like |
O |
O |
O |
O |
O |
|
Because of fear of negative consequences |
O |
O |
O |
O |
O |
|
Because I did not want to become vulnerable in the face of peers or senior colleagues |
O |
O |
O |
O |
O |
|
Because I feared there would be disadvantages from speaking |
O |
O |
O |
O |
O |
|
Because I did not want to embarrass others |
O |
O |
O |
O |
O |
Does your workplace have an anti-bullying policy?
□ Yes
□ No
□ Unsure
Please state your degree of agreement with the below statements
|
Strongly disagree |
Disagree |
Neither agree nor disagree |
Agree |
Strongly agree |
|
|
In my workplace, the anti-bullying policy and procedures contribute to effectively protecting all staff members |
O |
O |
O |
O |
O |
|
My workplace actively discourages bullying |
O |
O |
O |
O |
O |
|
Bullying is against the values of my workplace |
O |
O |
O |
O |
O |
|
My workplace makes an active effort to tackle bullying (e.g., through awareness raising initiatives and anti-bullying programmes) |
O |
O |
O |
O |
O |
|
Bullying goes unnoticed in my workplace |
O |
O |
O |
O |
O |
References
Arenas, A., Leon-Perez, J., Medina, F. J., & Munduate, L. (2015). The Relationship Between Interpersonal Conflict and Workplace Bullying. Journal of Managerial Psychology, 30(3), 250–263. https://doi.org/https://dx.doi.org/10.1108/JMP-01-2013-0034
Baillien, E., Neyens, I., De Witte, H. & De Cuyper, N. (2009). Qualitative study on the development of workplace bullying: Towards a three-way model. Journal of Community & Applied Social Psychology, 19, 1-16. https://doi.org/10.1002/casp.977
Baillien, E., Escartín, J., Gross, C., & Zapf, D. (2017). Towards a conceptual and empirical differentiation between workplace bullying and interpersonal conflict. European Journal of Work and Organizational Psychology, 26(6), 870–881. https://doi.org/10.1080/1359432X.2017.1385601
Cassidy, W., Faucher, C., & Jackson, M. (2014). The dark side of the ivory tower: Cyberbullying of University Faculty and Teaching Personnel. Alberta Journal of Educational Research, 60(2), 279–299.
Cassidy, W., Faucher, C., & Jackson, M. (2017). Adversity in university: Cyberbullying and its impacts on students, faculty and administrators. International Journal of Environmental Research and Public Health, 14(8), 1–19. https://doi.org/10.3390/ijerph14080888
Cortina, L. M. (2008). Unseen injustice: Incivility as modern discrimination in organizations. Academy of Management Review, 33(1), 55-75. https://doi.org/10.5465/amr.2008.27745097
Coyne, I., Farley, S., Axtell, C., Sprigg, C., Best, L., & Kwok, O. (2017) Understanding the relationship between experiencing workplace cyberbullying, employee mental strain and job satisfaction: a dysempowerment approach, The International Journal of Human Resource Management, 28(7), 945-972.
Cronin, T. J., Pepping, C. A., Halford, W. K. & Lyons, A. (2021) Minority Stress and Psychological Outcomes in Sexual Minorities: The Role of Barriers to Accessing Services, Journal of Homosexuality, 68(14), 2417-2429. https://doi.org/10.1080/00918369.2020.1804264
Duffy, M. & Brown, J. E. (2018). Best practices in psychotherapy for targets of workplace bullying and mobbing. In Duffy, M. & Yamada, D. C. (Eds.) Workplace bullying and mobbing in the United States, Volume 2 (pp. 291-314). ABC-CLIO, Santa Barbara, USA.
Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350-383. https://doi.org/10.2307%2F2666999
Einarsen, S., Hoel, H. & Notelaers, G. (2009) Measuring exposure to bullying and harassment at work: Validity, factor structure and psychometric properties of the Negative Acts Questionnaire-Revised. Work & Stress, 23(1), 24-44. https://doi.org/ 10.1080/02678370902815673
Einarsen, S. V, Hoel, H., Zapf, D. & Cooper, C. (2010). The concept of bullying and harassment at work: The European tradition. In Bullying and Harassment in the workplace (2nd ed., pp. 3–53). Florida: CRC Press.
Fahie, D. (2020). The lived experience of toxic leadership in Irish higher education. International Journal of Workplace Health Management, 13(3), 341–355. https://doi.org/10.1108/IJWHM-07-2019-0096
Farley, S., Coyne, I., Axtell, C. & Sprigg, C. (2016) Design, development and validation of a workplace cyberbullying measure, the WCM. Work & Stress, 30(4), 293-317. https://doi.org/10.1080/02678373.2016.1255998
GLEN - Gay and Lesbian Equality Network. (2015). Lesbian, Gay, Bisexual and Transgender Inclusion in Business. Submission to Department of Foreign Affairs and Trade National Plan on Business and Human Rights. https://www.dfa.ie/media/dfa/alldfawebsitemedia/ourrolesandpolicies/int…;
Hayman, (2005). Psychometric Assessment of an Instrument Designed to Measure Work Life Balance. Research and Practice in Human Resource Management, 13(1), 85-91.
Hodgins, M., & Mannix-McNamara, P. (2017). Bullying and incivility in higher education workplaces: Micropolitics and the abuse of power. Qualitative Research in Organizations and Management: An International Journal, 12(3), 190–206. https://doi.org/10.1108/QROM-03-2017-1508
Hodgins, M., & Mannix-McNamara, P. M. (2019). An Enlightened Environment? Workplace Bullying and Incivility in Irish Higher Education. SAGE Open, 9(4). https://doi.org/10.1177/2158244019894278
Hodgins, M., & Mannix-Mcnamara, P. (2021). The neoliberal university in Ireland: Institutional bullying by another name? Societies, 11(2), 1–20. https://doi.org/10.3390/soc11020052
Health and Safety Authority, HSA. (2021). Code of Practice for Employers and Employees on the Prevention and Resolution of Bullying at Work. https://www.hsa.ie/eng/publications_and_forms/publications/codes_of_pra… _of_practice_for_employers_and_employees_on_the_prevention_and_resolution_of_bullying_at_work.pdf
Keashly, L., & Neuman, J. H. (2010). Faculty Experiences with Bullying in Higher Education. Administrative Theory & Praxis, 32(1), 48–70. https://doi.org/10.2753/atp1084-1806320103
Knoll, M., Götz, M., Adriasola, E., Al-Atwi, A. A., Arenas, A., Atitsogbe, K. A., … & LePine, J. (2014). Employee voice and engagement: Connections and consequences. International Journal of Human Resource Management, 1(1), 2780–2798. https://doi.org/10.1002/job.2512
Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 1-12. https://doi.org/doi: 10.3389/fpsyg.2013.00863
LaVan, H., & Martin, W. M. (2008). Bullying in the U.S. workplace: Normative and process-oriented ethical approaches. Journal of Business Ethics, 83(2), 147– 165. https://doi.org/10.1007/s10551-007-9608-9
Lin, M., Lucas, H. C., & Shmueli, G. (2013). Too big to fail: Large samples and the p-value problem. Information Systems Research, 24(4), 906–917. https://doi.org/10.1287/isre.2013.0480
McGinnity, F., Russell, H., Provalko, I., & Enright, S. (2021). Monitoring decent work in Ireland. The Economic and Social Research Institute (ESRI). https://doi.org/10.26504/bkmnext414
Morrison, E. W. (2014). Employee Voice and Silence. Annual Review of Organizational Psychology and Organizational Behavior, 1, 173–197. https://doi.org/10.1146/annurev-orgpsych-031413-091328
O’Connell, P. J., Calvert, E., & Watson, D. (2007). Bullying in the Workplace: Survey Reports. (Issue Report to the Department of Enterprise, Trade and Employment). https://www.esri.ie/system/files/media/file-uploads/2015-07/BKMNEXT094.pdf
Osatuke, K., Moore, S. C., Ward, C., Dyrenforth, S. R. & Belton, L. (2009). Civility, respect, engagement in the workforce (CREW). Nationwide organization development intervention at Veterans Health Administration. The Journal of Applied Behavioral Science, 45(3), 384-410. http://dx.doi.org/10.1177/0021886309335067
Patterson, M. G., West, M. A., Shackleton, V. J., Dawson, J. F., Lawthom, R., Maitlis, S….& Wallace, A. M. (2005). Validating the organizational climate measure: links to managerial practices, productivity and innovation. Journal of Organizational Behaviour, 26, 370-408. https://doi.org/10.1002/job.312
Paull, M., Omari, M., & Standen, P. (2012). When is a bystander not a bystander? A typology of the roles of bystanders in workplace bullying. Asia Pacific Journal of Human Resources, 50(3), 351–366. https://doi.org/10.1111/j.1744-7941.2012.00027.x
Paull, M., Omari, M., D'Cruz, P., Cangarli, B. G. (2020). Bystanders in workplace bullying: working university students on action versus inaction. Asia Pacific Journal of Human Resources, 58, 313-334. https://doi.org/10.1111/1744-7941.12216
Pheko, M. M. (2018). Rumors and gossip as tools of social undermining and social dominance in workplace bullying and mobbing practices: A closer look at perceived perpetrator motives. Journal of Human Behavior in the Social Environment, 28(4), 449–465. https://doi.org/10.1080/10911359.2017.1421111
Rockett, P. (2015). The Cost of Workplace Bullying in Irish Universities. Pro Quest Dissertations and Theses, 136. https://scholarworks.waldenu.edu/dissertations%0Ahttp://ezproxy.lib.uca… dc8qa4cy3n.search.serialssolutions.com?ctx_ver=Z39.88- 2004&ctx_enc=info:ofi/enc:UTF-8&rfr_id=i
Samnani, A. K. (2013). “Is this bullying?” Understanding target and witness reactions. Journal of Managerial Psychology, 28(3), 290–305. https://doi.org/10.1108/02683941311321196
Thomas, M. (2005). Bullying among support staff in a higher education institution. Health Education, 105(4), 273–288. https://doi.org/10.1108/09654280510602499
Yamada, D. (2008). Workplace Bullying and Ethical Leadership. The Journal of Values-Based Leadership, 1(2), 169–182. https://doi.org/10.1007/978-3-030-46168-3_8