Personality as determinants of cyberslacking behaviors among IT professionals: Moderating role of perceived technostress and self-regulation

Sania Rehman, Aisha Zubair, Maryam Javed

Accepted December 12, 2025

First published December 19, 2025

Abstract

Cyberslacking, a challenge to productivity in digital workplaces, has grown as work and leisure boundaries
blur. This study aims to examine how personality traits influence cyberslacking behaviors among IT professionals, and
how self-regulation and technostress moderate these relationships. A cross-sectional design was used, collecting
data from 450 IT professionals aged 25-54 through purposive sampling. Measures included Conscientiousness and
Neuroticism subscales from the Big Five Inventory, Technostress Creators Inventory, Self-Regulation Scale, and Social
Cyberloafing Scale. Moderation analysis tested the role of self-regulation and technostress in moderating personality
traits’ effects on cyberslacking. Findings revealed that conscientiousness and self-regulation negatively predicted
cyberslacking, whereas neuroticism and perceived technostress were positive predictors. Self-regulation acted as a
buffer for neuroticism’s impact on cyberslacking and strengthened conscientiousness’s influence. Perceived technostress
intensified neuroticism’s effect on cyberslacking while weakening the influence of conscientiousness. MANOVA analysis
indicated that with longer tenure, managerial employees showed higher conscientiousness and self-regulation but lower
technostress and cyberslacking, whereas technical employees of both genders experienced increased technostress and
cyberslacking alongside reduced self-regulation. These findings highlight the importance of understanding personality
and stressor dynamics in mitigating cyberslacking in IT workplaces.

References

  • ABDULLAH, H.O., & AL‐ABRROW, H. (2023). Predicting positive and negative behaviors at the workplace: Insights from multi‐faceted perceptions and attitudes. Global Businessa nd Organizational Excellence, 42 (4), 63-80.

    doi.org/10.1002/joe.221799
  • ABRO, M.I., ALI, A., & KHAN, M.A. (2021). Neuroticism and its impact on counter productive work behaviors: A study of th emediating role of emotional exhaustion. International Journal of Business and Management, 16 (3), 1-12.

  • AGUINIS, H., EDWARDS, J.R., & BRADLEY, K.J. (2017). Improving our understanding of moderation and mediation in strategic management research. Organizational Research Methods, 20 (4),665-685.

    doi.org/10.1177/1094428115627498
  • AHMAD, I., & BEGUM, K. (2023). Impact of abusive supervision on intention to leave: A moderated mediation model of organizational-based self-esteem and emotional exhaustion. Asian Bus Manage, 22 (1), 669-688.

    doi.org/10.1057/s41291-020-00116-0d
  • AKINYI, C.A., & OBOKO, R. (2020). Self-regulation and academic performance of distance learners at the University of Nairobi. Journal of Learning for Development, 7 (1), 7-23.

  • AKINYI, C.A., OBOKO, R., & OMWENGA, E. (2024). Influence of self-regulation on academic performance of distance learners at the University of Nairobi. The International Review of Research in Open and Distributed Learning, 25 (1), 1-15.

  • ANDREASSEN, C.S., PALLESEN, S., & GRIFFITHS, M.D. (2014). The relationship between addictive use of social media and the use of the Internet for work purposes. Computers in Human Behavior, 36, 1-8.

    doi.org/10.1016/j.chb.2014.03.007 i.
  • BATABYAL, A., & BHAL, K.T. (2020). Understanding cyberslacking: A review of the literature. International Journal of Information Management, 50, 1-10.

    doi.org/10.1016/j.ijinfomgt.2019.04.005
  • CASSIELLO-ROBBINS, C., WILNER, J.G., & SAUER-ZAVALA, S. (2020). Neuroticism. In V. Zeigler-Hill & T.K. Shackelford (Eds.) Encyclopedia of Personality and Individual Differences. Springer, Cham.

    doi.org/10.1007/978-3-319-24612-3_1256
  • CHAPMAN, B.P., DUBERSTEIN, P.R., SÖRENSEN, S., & LYNESS, J.M. (2007). Gender differences in five factor model personality traits in an elderly cohort: Extension of robust and surprising findings to an older generation. Personality and Individual Differences, 43 (6), 1594-1603.

  • EKINCI, N. (2023). A meta-analytic review of Big Five personality trait and cyberbullying. Educational Policy Analysis and Strategic Research, 18 (3), 78-97.

    doi.org/10.29329/epasr.2023.600.4
  • GAISEANU, F. (2021). Evaluating attitude and behavior: An info-operational procedure related/supported by the cognitive centers of mind. International Journal on Neuropsychology and Behavioural Sciences, 2 (1), 1-5.

  • GÜGERÇIN, U. (2020). Does techno-stress justify cyberslacking? An empirical study based on the neutralisation theory. Behavior & Information Technology, 39 (7), 824-836.

    doi.org/10.1080/0144929X.2019.1617350
  • HERNANDEZ, R.A. (2022). Cyberloafing and technostress: Working from home during a pandemic (Doctoral dissertation, Walden University). Walden University Scholar Works. https://scholarworks.waldenu.edu/dissertations/13418

  • IBRAHIM, A.A., & HELALY, S.H. (2022). Cyber loafing, procrastination and job conscientiousness among head nurses at Main Mansoura University Hospital. Assiut Scientific Nursing Journal, 10 (30), 162-172.

    doi.org/10.21608/asnj.2022.135492.1369
  • JAISWAL, A., & SINGH, S. (2024). Technostress as a moderatorin virtual work environments: Implications for employee performance. Journal of Organizational Behavior, 45 (1), 1-15.

    doi.org/10.1002/job.2578
  • JAMIL, S. (2021). From digital divide to digital inclusion: Challenges˘for wide-ranging digitalization in Pakistan. Telecommunications Policy, 45 (8), 102206.

  • JOHN, O.P., & SRIVASTAVA, S. (1999). The Big-Five trait taxonomy: History, measurement, and theoretical perspectives. In L.A. Pervin & O.P. John (Eds.), Handbook of personality: Theory and research. Guilford Press. https://www.personality-project.org/revelle/syllabi/classreadings/john.pdf

  • KAYA, F., AYDIN, F., SCHEPMAN, A., RODWAY, P., YETISENSOY,O., & DEMIR KAYA, M. (2024). The roles of personality traits, AI anxiety, and demographic factors in attitudes toward artificial intelligence. International Journal of Human-Computer Interaction, 40 (2), 497-514.

    doi.org/10.1080/10447318.2022.215173
  • KHALIL, M.I.K., & TAJ, A.M.E.R. (2021). Factors affecting the efficacy of software development: A study of software houses in Peshawar, Pakistan. International Review of Basic and Applied Sciences, 9 (3), 385-393.

  • KHAN, M.L., & KHAN, N.A. (2019). Social media use and addiction: A review of the recent literature. Journal of Addiction Research &Therapy, 10 (2), 1-5.

    doi.org/10.35248/2155-6105.19.10.371
  • KHAN, M.L., KOCK, N., & STADTLER, L. (2021). Impact of social media use on employee creativity and innovation: The role of organizational policies and employee engagement. Journal of Management Information Systems, 38 (2), 1-24.

    doi.org/10.1080/07421222.2021.1906272
  • KORONCZAI, B., KÖKÖNYEI, G., GRIFFITHS, M.D., & DEMETROVICS, Z.( 2019). The relationship between personality traits, psychopathological symptoms, and problematic internetuse: A complex mediation model. Journal of Medical InternetResearch, 21 (4), e11837.

    doi.org/10.2196/11837
  • KUMAR, P.S. (2024). Technostress: A comprehensive literature review on dimensions, impacts, and management strategies. Computers in Human Behavior Reports, 16, 100475.

    doi.org/10.1016/j.chbr.2024.100475
  • LI, G. (2022). The effect of remote work on productivity: The role of cyberslacking and time management. Journal of Business Research,145(5),412-420.

    doi.org/10.1016/j.jbusres.2022.01.040
  • LI, X. ,& LIU, D. (2022). The influence of technostress on cyberslacking of college students in technology-enhanced learning: Mediating effects of deficient self-control and burnout. International Journal of Environmental Research and Public Health, 19 (18), 11800.

    doi.org/10.3390/ijerph191811800
  • LIANI, L., BAIDUN, A., & RAHMAH, M. (2021). The influence of Big Five personality trait and self-control on cyberloafing. 2021 9th International Conference on Cyber and IT Service Management (CITSM), Bengkulu, Indonesia, 23 (1), 1-5.

    doi.org/10.1109/CITSM52892.2021.9588899
  • LIM, V.K., & TEO, T.S. (2024). Cyberloafing: A review and research agenda. Applied Psychology, 73 (1), 441-484.

    doi.org/10.1111/apps.12452
  • MAMMADOV, S. (2021). The influence of conscientiousness on job performance. Journal of Work and Organizational Psychology, 37(1), 15-23.

    doi.org/10.5093/jwop2021a3
  • MARCHIORI, D.M., MAINARDES, E.W., & RODRIGUES, R.G. (2019). Do individual characteristics influence the types of technostress reported by workers? International Journal of Human-Computer Interaction, 35 (3), 218-230.

    doi.org/10.1080/10447318.2018.1449713
  • MARUMPE, M.M., & MAPHOSA, C. (2023). The influence of conscientiousness on cyberslacking behavior among university students. Journal of Educational Psychology, 115 (1), 1-15.

    doi.org/10.1037/edu0000542
  • MONTAG, C., SINDERMANN, C., BECKER, B., & PANKSEPP, J. (2020). An affective neuroscience framework for the molecular study of internet addiction. Frontiers in Psychology, 11, 854.

    doi.org/10.3389/fpsyg.2020.00854
  • MOORE, C. (2015). Moral disengagement. Current Opinion in Psychology, 6 (4), 199-204.

    doi.org/10.1016/j.copsyc.2015.07.018
  • NASTJUK, I., TRANG, S., GRUMMECK-BRAAMT, J. V., ADAM, M.T., & TARAFDAR, M. (2024). Integrating and synthesising technostress research: A meta-analysis on technostress creators, outcomes, and IS usage contexts. European Journal of Information Systems, 33 (3), 361-382.

    doi.org/10.1080/0960085X.2022.2154712
  • NGUYEN, T.M., & LUU, L.D. (2020). Determinants of employee productivity in a software company. Journal of Economics and Development, 22 (1), 9-21.

    doi.org/10.1108/JED-06-2020-0064
  • NWEKE, G.E., JARRAR, Y. & HOROUB, I. (2024). Academic stress and cyberloafing among university students: The mediating role of fatigue and self-control. Humanit Soc Sci Commun, 11, 419.

    doi.org/10.1057/s41599-024-02930-9.
  • ONUNKA, O., ORIKPETE, F.O., & DARAOJIMBA, C. (2023). The role of information and communication technology in climate change mitigation and adaptation. Ecofeminism and Climate Change, 4 (1), 78-87.

    doi.org/10.26480/efcc.02.2023.78.87
  • OPSTAD, L., KAREVOLL, G.G., LEWICKA, D., & ÅRETHUN, T. (2024). How gender and personality traits influence job preferences among students in Norway and Poland. Cogent Business & Management, 11 (1).

    doi.org/10.1080/23311975.2024.2354946
  • ÖZCAN, H.M., & KOÇ, U. (2023). The role of fear of missing out (FoMO) in the relationship between personality traits and cyberloafing. Ege Academic Review, 23 (1), 11-26.

    doi.org/10.21121/eab.987487
  • PERONE, A.K., INGUGLIA, C., & LO COCO, A. (2021). Autonomy, relatedness, self-regulation, and academic achievement among Italian and immigrant adolescents. Journal of Educational Research, 114 (1), 1-13.

    doi.org/10.1080/00220671.2021.1874073
  • RAGU-NATHAN, T.S., TARAFDAR, M., RAGU-NATHAN, B.S., & TU, Q. (2008). The consequences of technostress for endusers in organizations: Conceptual development and empirical validation. Information Systems Research, 19 (4), 417-433.

    doi.org/10.1287/isre.1070.0165
  • RUSSO, D., & STOL, K. (2020). Gender Differences in personality traits of software engineers. IEEE Transactions on Software Engineering. Advance online publication.

    doi.org/10.1109/TSE.2020.3003413
  • SARFRAZ, M., KHAWAJA, K.F., & UM-E-FARWAH (2023). Is the internet a double-edged sword for organizations? An empirical study on cyberloafing. Information Technology and Management.

    doi.org/10.1007/s10799-022-00385-5
  • SCHMITT, A., DEN HARTOG, D.N., & BELSCHAK, F.D. (2021). Understanding the initiative paradox: the interplay of leader neuroticism and follower traits in evaluating the desirability of follower proactivity. European Journal of Work and Organizational Psychology, 31 (2), 186-199.

    doi.org/10.1080/1359432X.2021.1950690
  • SCHWARZER, R., DIEHL, M., & SCHMITZ, G.S. (1999). Self-regulation scale. Journal of Personality Assessment.

    doi.org/10.1037/t01606-000
  • SHARMA, S. (2020). I want it my way: Using consumerism and neutralization theory to understand students’ cyberslacking behavior. International Journal of Information Management, 53,102131.

    doi.org/10.1016/j.ijinfomgt.2020.102131
  • SHEIKH, A., AGHAZ, A., & MOHAMMADI, M. (2019), Cyberloafing and personality traits: an investigation among knowledge-workers across the Iranian knowledge-intensive sectors. Behaviour and Information Technology, 38 (12), 1213-1224.

    doi.org/10.1080/0144929X.2019.1580311
  • SIMANJUNTAK, R., PUTRI, A.R., & PANGARIBUAN, C.H. (2022). Self-regulation and social media use among university students. Cyberpsychology, Behavior, and Social Networking, 25 (3), 1-10.

    doi.org/10.1089/cyber.2021.0182
  • SMITH, A., & JOHNSON, B. (2023). The impact of AI on employee satisfaction: A comprehensive study. Journal of Workplace Innovation, 12 (3), 45-67.

  • SMUTS, H., & SMITH, A. (2021). Collaboration of human and machine for knowledge work: An organizational transformation framework for data-driven decision-making. In Information Technology in Organizations and Societies: Multidisciplinary Perspectives from AI to Technostress. Emerald Publishing Limited.

  • STADIN, M., NORDIN, M., BROSTRÖM, A., MAGNUSSON HANSON, L.L., WESTERLUND, H., & FRANSSON, E.I. (2021). Technostress operationalised as information and communication technology (ICT) demands among managers and other occupational groups – Results from the Swedish Longitudinal Occupational Survey of Health (SLOSH). Computers in HumanBehavior, 114, 106486.

    doi.org/10.1016/j.chb.2020.106486
  • SUTIN, A.R., STEPHAN, Y., LUCHETTI, M., & TERRACCIANO, A. (2021). Facets of neuroticism and self-reported physical activity in older adults. Psychology of Sport and Exercise, 52, 101828.

    doi.org/10.1016/j.psychsport.2020.101828
  • SYKES, G.M., & MATZA, D. (1957). Techniques of neutralization: A theory of delinquency. American Sociological Review, 22 (6), 664-670.

    doi.org/10.2307/2089195
  • SZOSTEK, J., & WYSOCKI, M. (2022). Neuroticism and workplace deviance: A study of the moderating role of emotional intelligence. Personality and Individual Differences, 188, 111469.

    doi.org/10.1016/j.paid.2021.111469
  • TANRIVERDI, H. (2021). The impact of self-regulation on cyberslacking behavior: A study among IT professionals. Journal of Information Technology Management, 32 (1), 45-57.

    doi.org/10.22059/jitm.2021.311930.1007
  • TANYILDIZI, H., & HABIP, M. (2023). The moderating role of technostress on the relationship between overqualification and innovative behavior. Journal of Business Research, 145, 1-10.

    doi.org/10.1016/j.jbusres.2022.02.021
  • TARAFDAR, M., GUPTA, A., & TUREL, O. (2015). Special issue on‘dark side of information technology use’: An introduction and a framework for research. Information Systems Journal, 25 (3),161-170.

    doi.org/10.1111/isj.12070
  • TERRACCIANO, A., & COSTA, P.T. (2008). Smoking and the five-factor model of personality. Journal of Research in Personality, 42(5), 1336-1342.

    doi.org/10.1016/j.jrp.2008.04.003
  • VAN DEURSEN, A.J., BOLLE, C.L., HEGNER, S.M., & KOMMERS, P.A. (2015). Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 45, 411-420.

    doi.org/10.1016/j.chb.2014.12.039
  • VARGHESE, L., & BARBER, L.K. (2017), A preliminary study exploring moderating effects of role stressors on the relationship between big five personality traits and workplace cyberloafing, Cyberpsychology, 11 (4), 1-15.

    doi.org/10.5817/CP2017-4-4
  • VENKATESH, V., DAVIS, F.D., & ZHU, Y. (2023). Competing roles of intention and habit in predicting behavior: A comprehensive literature review, synthesis, and longitudinal field study. International Journal of Information Management, 71 (22),102644.

    doi.org/10.1016/j.ijinfomgt.2023.102644
  • VITAK, J., CROUSE, J., & LAROSE, R. (2011). Personal Internet use at work: Understanding cyberslacking. Computers in Human Behavior, 27 (5), 1751-1759.

    doi.org/10.1016/j.chb.2011.03.002
  • WEISBERG, Y.J., DEYOUNG, C.G., & HIRSH, J.B. (2011). Gender differences in personality across the ten aspects of the bigfive. Frontiers in Psychology, 2 (1), 11757.

    doi.org. 10.3389/fpsyg.2011.00178
  • WISE, K., ALHABASH, S., & PARK, H. (2011). Emotional responses during social information seeking on Facebook. Cyberpsychology, Behavior, and Social Networking, 14 (11), 669-673.

    doi.org/10.1089/cyber.2010.0401
  • WU, J., MEI, W., LIU, L., & UGRIN, J.C. (2020). The bright and dark sides of social cyberloafing: Effects on employee mental health in China. Journal of Business Research, 112 (1), 56-64.

    doi.org/10.1016/j.jbusres.2020.02.043
  • YAO, Z., & WANG, Z. (2022). Technostress and work-family conflict: A moderated mediation model. Computers in Human Behavior,134, 107330.

    doi.org/10.1016/j.chb.2022.107330
  • ZHANG, Z., YE, B., QIU, Z., ZHANG, H., & YU, C. (2022). Does technostress increase R&D employees’ knowledge hiding in the digital era? Frontiers in Psychology, 13, 873846.

    doi.org/10.3389/fpsyg.2022.873846
  • ZHOU, C., LI, K., & ZHANG, X. (2022). Why do I take deviant disclosure behavior on internet platforms? An explanation based on the neutralization theory. Information Processing & Management, 59 (1), 102785.

    doi.org/10.1016/j.ipm.2021.102785
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Rehman Sania . Zubair Aisha . Javed Maryam . Personality as determinants of cyberslacking behaviors among IT professionals: Moderating role of perceived technostress and self-regulation. BPA Applied Psychology Bulletin. 2025;304(1):47-65.

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Rehman Sania . Zubair Aisha . Javed Maryam . Personality as determinants of cyberslacking behaviors among IT professionals: Moderating role of perceived technostress and self-regulation. BPA Applied Psychology Bulletin. 2025;304(1):47-65.