Social Media Addiction, Social Comparison and Counterproductive Work Behaviour

Authors

DOI:

https://doi.org/10.47040/sdpsych.v13i1.143

Keywords:

counterproductive work behavior, social media addiction, social comparison

Abstract

The present study aims to identify the relationships between social media addiction, counterproductive behaviours encountered in the workplace and the mediating role of social comparison in relation to them, while also looking at the predisposition of socio-demographic aspects towards the manifestation of counterproductive behaviours. The study involved 263 participants aged 19-70 years, M = 39.37, AS = 13.89, of whom 60 were men (23%) and 203 were women (77%). The instruments used were the Bergen Social Media Addiction Scale, the Iowa-Netherlands Comparison Orientation Measure and the Counterproductive Work Behavior Checklist. Results indicate that social media addiction is positively associated with organizationally oriented counterproductive behavior, but is not a predictor for person-oriented behavior. Also, the level of social comparison only mediates the relationship between social media addiction and organizationally oriented counterproductive behavior, not person-oriented counterproductive behavior, although it enhances both relationships. The study findings indicate that social comparison process intensifies underlying relationships and emphasizes the need to combat predictors of counterproductive behavior in the workplace, thus implying the need for future studies on the topic in the Romanian labor field.

References

Abbasi, I. S. (2019). Social media addiction in romantic relationships: Does user's age influence vulnerability to social media infidelity? Personality and Individual Differences, 139, 277-280. doi:10.1016/j.paid.2018.10.038

Aichner, T., Grünfelder, M., Maurer, O., Jegeni, D. (2021). Twenty-Five Years of Social Media: A Review of Social Media Applications and Definitions from 1994 to 2019. Cyberpsychology, Behavior and Social Networking, 24(4), 215-222. doi: https://doi.org/10.1089/cyber.2020.0134

Akca, M., Tepe Kucukoglu, M. (2020). Relations between workplace bullying, conscientiousness and counterproductive work behaviors: A study at logistics company. Beykoz Akademi Dergisi, 117-136. doi:10.14514/BYK.m.26515393.2020.8/1.117-136

Alblwi, A., McAlaney, J., Al Thani, D. A., Phalp, K., Ali, R. (2020). Managing Procrastination on Social Networking Sites: The D-Crastinate Method. Healthcare, 8(4), 577. doi: https://doi.org/10.3390/healthcare8040577

Aldrovandi, S., Dhillon, J., Rentzelas, P. (2021). To achieve and to conform: Motivational values predict social comparison orientation. Personality and Individual Differences, 182, 111083. doi: 10.1016/j.paid.2021.111083

Allport, G. (1931). What is a trait of personality? Journal of Abnormal and Social Psychology, 25(4), 368-372. doi: https://doi.org/10.1037/h0075406

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596

Andreassen, C. (2012). Development of a Facebook Addiction Scale. Psychological Reports, 110(2), 501-517. doi: 10.2466/02.09.18.PR0.110.2.501-517

Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252-262. doi: 10.1037/adb0000160.

Andreassen, C., Torsheim, T., Pallesen, S. (2014). Use of online social network sites for personal purposes at work: does it impair self-reported performance? Journal of Computer-Mediated Communication, 3, 906-992. doi: https://doi.org/10.2466/01.21.CP.3.18

Anjum, M. A., & Parvez, A. (2013). Counterproductive behavior at work: A comparison of blue collar and white collar workers. Pakistan Journal of Commerce and Social Sciences, 7(3), 417- 434. doi: http://hdl.handle.net/10419/188101

Anjum, M. A., Liang, D., Durrani, D. K., Parvez, A. (2020). Workplace mistreatment and emotional exhaustion: The interaction effects of self-compassion. Current Psychology, 39(2), 1-12. doi: 10.1007/s12144-020-00673-9

Apers, C., Lang, J., Derous, E. (2018). Who earns more? Explicit traits, implicit motives and income growth trajectories. Journal of Vocational Behavior, 110(A), 214-228. doi: https://doi.org/10.1016/j.jvb.2018.12.004

Appel, G., Grewal, L., Hadi, R., Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48, 79-95. doi: https://doi.org/10.1007/s11747-019-00695-1

Askew, K., Buckner, J. E., Taing, M. U., Ilie, A., Bauer, J. A., Coovert, M. D. (2014). Explaining cyberloafing: The role of the theory of planned behavior. Computers in Human Behavior, 36, 510-519. doi: https://doi.org/10.1016/j.chb.2014.04.006

Atamanik-Dunphy, C. (2009). Base rates of counterproductive work behaviors. FIU Electronic Theses and Dissertations, 1331. doi: 10.25148/etd.FI14032365

Badawy, S. M., El-Fekey, S. F. (2017). Does Social Comparison Orientation Moderate the Organisational Justice, In-role Performance, Citizenship and Counterproductive Behaviours Relationship? International Journal of Business and Management, 12(12), 181. doi:10.5539/ijbm.v12n12p181

Baldwin, M., Mussweiler, T. (2018). The culture of social comparison. Proc Natl Acad Sci USA, 115(39). doi: 10.1073/pnas.1721555115

Balta, S., Emirtekin, E., Kircaburun, K., Griffiths, M. D. (2020). Neuroticism, trait fear of missing out, and phubbing: The mediating role of state fear of missing out and problematic Instagram use. International Journal of Mental Health and Addiction, 18, 628–639. doi: https://doi.org/10.1007/s11469-018-9959-8

Bányai, F., Zsila, A., Kiraly, O., Maraz, A., Elekes, Z., Griffiths, M., Andreassen, C.S., Demetrovics, Z. (2017). Problematic Social Media Use: Results from a Large-Scale Nationally Representative Adolescent Sample. PLoS ONE, 12(1). doi: https://doi.org/10.1371/journal.pone.0169839

Bao, T., Liang, B., Riyanto, Y. R. (2021). Unpacking the negative welfare effect of social media: Evidence from a large scale nationally representative time-use survey in China. China Economic Review, Elsevier, 69(c). doi: 10.1016/j.chieco.2021.101650

Becton, J. B., Walker, H. J., Schwager, P., Gilstrap, J. B. (2017). Is what you see what you get? Investigating the relationship between social media content and counterproductive work behaviors, alcohol consumption, and episodic heavy drinking. The International Journal of Human Resource Management, 30(22), 2251-2272. DOI:10.1080/09585192.2017.1314977

Bellora-Bienengräber, L., Radtke, R. R., Widener, S. K. (2022). Counterproductive work behaviors and work climate: The role of an ethically focused management control system and peers’ self-focused behavior. Accounting, Organizations and Society, 96. doi: https://doi.org/10.1016/j.aos.2021.101275

Bennett, R. J., Marasi, S. (2015). Workplace Deviance. International Encyclopedia of the Social & Behavioral Sciences, 2, 722-726.

Berry, N., Emsley, R., Lobban, F., Bucci, S. (2018). Social media and its relationship with mood, self-esteem and paranoia in psychosis. Acta Psychiatrica Scandinavica, 138(6), 558-570. doi: 10.1111/acps.12953

Bilgin, O., Taş, İ. (2018). Effects of Perceived Social Support and Psychological Resilience on Social Media Addiction among University Students. Universal Journal of Educational Research, 6(4), 751-758. doi: 10.13189/ujer.2018.060418

Błachnio, A., Przepiorka, A. (2019). Be aware! If you start using facebook problematically you will feel lonely: Phubbing, and facebook intrusion. A cross-sectional study. Social Science Computer, 37(2), 270-278. doi: https://doi.org/10.1177/0894439318754490

Błachnio, A., Przepiórka, A., Pantic, I. (2015). Internet use, Facebook intrusion, and depression: Results of a cross-sectional study. Eur Psychiatry, 30(6), 681-684. doi: 10.1016/j.eurpsy.2015.04.002

Bocage-Barthélémy, Y., Chatard, A., Selimbegovic, L., Jaafari, N., Tello, N., Billieux, J., Daveau, E., Selimbegović, L. (2018). Automatic social comparison. PLOS ONE, 13(3). doi: 10.1371/journal.pone.0193200

Boer, M., Stevens, G. W., Finkenauer, C., de Looze, M. E., van den Eijnden, R. J. (2021). Social media use intensity, social media use problems, and mental health among adolescents: Investigating directionality and mediating processes. Computers in Human Behavior, 116. doi:10.1016/j.chb.2020.106645

Bosson, J. K., Vandello, J. A. (2011). Precarious Manhood and Its Links to Action and Aggression. Current Directions in Psychological Science, 20(2), 82-86. doi: https://doi.org/10.1177/0963721411402669

Bowling, N. A., Burns, G. N. (2015). Sex as a Moderator of the Relationships Between Predictor Variables and Counterproductive Work Behavior. Journal of Business and Psychology volume, 30(1), 193-205. doi:10.1007/s10869-013-9342-5

Brailovskaia, J., Teismann, T. M. (2020). Positive mental health mediates the relationship between Facebook addiction disorder and suicide-related outcomes: a longitudinal approach. Cyberpsychology, Behavior, and Social Networking, 23(5), 346-350. doi: 10.1089/cyber.2019.0563

Brand, M., S.Young, K., Laier, C., Wölfling, K., Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: an interaction of person-affect-cognition-execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 71, 252-266. doi: https://doi.org/10.1016/j.neubiorev.2016.08.033

Brusilovskiy, E., Townley, G., Snethen, G., Salzer, M. (2016). Social media use, community participation and psychological well-being among individuals with serious mental illnesses. Computers in Human Behavior, 65(c), 232-240. doi: https://doi.org/10.1016/j.chb.2016.08.036

Buda, G., Lukoševičiūtė, J., Šalčiūnaitė, L., Šmigelskas, K. (2020). Possible effects of social media use on adolescent health behaviors and perceptions. Psychological Reports, 124(3), 1031-1048. doi: https://doi.org/10.1177/0033294120922481

Burke, M., Cheng, J., de Gant, B. (2020). Social comparison and Facebook: feedback, positivity, and opportunities for comparison. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-13. doi: https://doi.org/10.1145/3313831.3376482

Burke, M., Ellison, N., Ernala, S. K., Leavitt, A. (2020). Recommendations for researchers to more accurately measure time spent on Facebook. Meta Research. doi: http://dx.doi.org/10.1145/3313831.3376435

Burney, L., Radtake, R., Widener, S. (2017). The intersection of “bad apples”. Journal of Information Systems, 31(2), 25-48. doi: https://doi.org/10.2308/isys-51624

Buunk, A. P., Gibbons, F. X. (2007). Social comparison: The end of a theory and the emergence of a field. Organizational Behavior and Human Decision Processes, 102(1), 3-21. doi: https://doi.org/10.1016/j.obhdp.2006.09.007

Cerniglia, L., Zoratto, F., Cimino, S., Laviola, G., Ammaniti, M., Adriani, W. (2017). Internet Addiction in adolescence: Neurobiological, psychosocial and clinical issues. Neuroscience & Biobehavioral Reviews, 76(A), 174-184. doi: 10.1016/j.neubiorev.2016.12.024

Chen, H., Richard, O. C., Boncoeur, D. O., Ford, D. L. (2020). Work engagement, emotional exhaustion, and counterproductive work behavior. Journal of Business Research, 114, 30-41. doi: https://doi.org/10.1016/j.jbusres.2020.03.025

Chi, L.C., Tang, T.C., Tang, E. (2022). The phubbing phenomenon: a cross-sectional study on the relationships among social media addiction, fear of missing out, personality traits, and phubbing behavior. Current Psychology, 41, 1112–1123. doi: https://doi.org/10.1007/s12144-021-02468-y

Cohen, A. (2016). Are they among us? A conceptual framework of the relationship between the dark triad personality and counterproductive work behaviors (CWBs). Human Resource Management Review, 26(1), 69-85. doi:10.1016/j.hrmr.2015.07.003

Cohen, T. R., Panter, A., Turan, N. (2013). Predicting Counterproductive Work Behavior from Guilt Proneness. Journal of Business Ethics, 114(1), 45-53. doi:10.1007/s10551-012-1326-2

Cramer, E. M., Song, H., Drent, A. (2016). Social comparison on Facebook: Motivation, affective consequences, self-esteem, and Facebook fatigue. Computers in Human Behavior, 64, 739-746. doi: https://doi.org/10.1016/j.chb.2016.07.049

Cross, C. P., Copping, L. T., Campbell, A. (2011). Sex differences in impulsivity: a meta-analysis. Psychological Bulletin, 137(1), 97-130. doi: 10.1037/a0021591

Kemp, S. (2022). Digital 2022: Romania. Datereportal. Accessed on 25th of April, 21:25 at https://datareportal.com/reports/digital-2022-romania

Department for Digital, Culture, Media. (2018). Cyber security breaches survey 2018. Cyber security breaches survey 2018. Accessed on 6th of May, 22:38 at https://www.gov.uk/government/statistics/cyber-security-breaches-survey-2018

di Mauro, F., Mion, G., Stöhlker, D. (2017). The drivers of revenue productivity: a new decomposition analysis with firm-level data. European Central Bank Working Paper, 2014.

Dibb, B., Foster, M. (2021). Loneliness and Facebook use: the role of social comparison and rumination. Heliyon, 7(1). doi: 10.1016/j.heliyon.2021.e05999

Dirican, A. H., Erdil, O. (2016). An Exploration of Academic Staff’s Organizational Citizenship Behavior and Counterproductive Work Behavior in Relation to Demographic Characteristics. Procedia - Social and Behavioral Sciences, 235, 351-360. doi: 10.1016/j.sbspro.2016.11.043

Dittmar, H. (2005). Compulsive buying – a growing concern? An. British Journal of Psychology, 96(4), 467-491. doi: https://doi.org/10.1348/000712605X53533

Elhai, J. D., Hall, B. J., Levine, J. C., Dvorak, R. D. (2020). Types of smartphone usage and relations with problematic smartphone behaviors: The role of content consumption vs. social smartphone use. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 11(2), 3. doi: https://doi.org/10.5817/CP2017-2-3

Erzen, E., Odaci, H., Yeniçeri, İ. (2019). Phubbing: Which Personality Traits Are Prone to Phubbing? Social Science Computer Review, 39(1), 56-69. doi: https://doi.org/10.1177/0894439319847415

Samid, A., Shahin, S. (2017). Social Media and Social Mobilisation in the Middle East: A Survey of Research on the Arab Spring. India Quarterly: A Journal of International Affairs, 73(2), 196-209. doi: https://doi.org/10.1177/0974928417700798

Eurostat (2019). Social media use by purpose. Accessed on 1st of May, 20:55 at https://ec.europa.eu/eurostat/databrowser/view/isoc_cismp/default/table?lang=en

Faranda, M., Roberts, L. D. (2019). Social comparisons on Facebook and offline: The relationship to depressive. Personality and Individual Differences, 141, 13-17. doi: https://doi.org/10.1016/j.paid.2018.12.012

Ferreira, M. F., do Nascimento, E. (2016). Relationship between Personality Traits and Counterproductive Work Behaviors. Psico-USF, 21(3), 677-685. doi:10.1590/1413-82712016210319

Festinger, L. (1954). A Theory of Social Comparison Processes. Human Relations, 7(2), 117-140. doi: https://doi.org/10.1177/001872675400700202

Forbes (2019). Review Platforms: How To Attract Consumers By Providing The Information They Want. Accessed on 2nd of May, 19:48 at https://www.forbes.com/sites/theyec/2019/06/26/review-platforms-how-to-attract-consumers-by-providing-the-information-they-want/?sh=2253e1a3dc48

Franchina, V., Vanden Abeele, M., van Rooij, A. J., Lo Coco, G., De Marez, L. (2018). Fear of missing out as a predictor of problematic social media use and phubbing behavior among Flemish adolescents. International Journal Environment Research and Public Health, 15(10), 2319. doi: 10.3390/ijerph15102319

Gibbons, F. X., Buunk, B. P. (1999). Individual differences in social comparison: development of a scale of social comparison orientation. Journal of Personality and Social Psychology, 76(1), 129-142. doi: https://doi.org/10.1037/0022-3514.76.1.129

Gilbert, D. T., Giesler, R. B., Morris, K. A. (1995). When comparisons arise. Journal of Personality and Social Psychology, 69(2), 227-236. doi: https://doi.org/10.1037/0022-3514.69.2.227

Gong, X., Sanfey, A. G. (2017). Social Rank and Social Cooperation: Impact of Social Comparison Processes on Cooperative Decision-Making. PLoS ONE, 12(4). doi:10.1371/journal.pone.0175472

Greenwood, D. (2017). Social comparison theory. The International Encyclopedia of Media Effects, 1-7. doi: https://doi.org/10.1002/9781118783764.wbieme0089

Griffiths, M. D. (2005). A “components” model of addiction within a biopsychosocial. Journal of Substance Use, 10(4), 191-197. doi: 10.1080/14659890500114359

Gruys, M. L., Sackett, P. R. (2003). Investigating the Dimensionality of Counterproductive Work Behavior. International Journal of Selection and Assessment, 11(1), 30-42. doi: https://doi.org/10.1111/1468-2389.00224

Hadlington, L. (2017). Human factors in cybersecurity; examining the link between Internet addiction, impulsivity, attitudes towards cybersecurity, and risky cybersecurity behaviours. Heliyon, 3(7). doi: https://doi.org/10.1016/j.heliyon.2017.e00346

Hadlington, L., Binder, J., Stanulewicz, N. (2021). Exploring role of moral disengagement and counterproductive work behaviours in information security awareness. Computers in Human Behavior, 114(1). doi: 10.1016/j.chb.2020.106557

Hawi, N., Samaha, M. (2018). Identifying commonalities and differences in personality characteristics of Internet and social media addiction profiles: traits, self-esteem, and self-construal. Behaviour & Information Technology, 38(2), 110-119. doi: https://doi.org/10.1080/0144929X.2018.1515984

Himmelstein, M. S., Kramer, B. L., Springer, K. W. (2018). Stress in Strong Convictions: Precarious Manhood Beliefs Moderate Cortisol Reactivity to Masculinity Threats. Psychology of Men & Masculinity, 20(4), 491-502. doi: https://doi.org/10.1037/men0000187

Hollinger, R., Davis, J. (2001). National Retail Security Survey Final Report Gainesville. FL: Security Research Project.

Holmgren, H. G., Coyne, S. M. (2017). Can’t stop scrolling!: pathological use of social networking sites in emerging adulthood. Addiction Research & Theory, 25(5), 375-382. doi: https://doi.org/10.1080/16066359.2017.1294164

Hormes, J. M., Kearns, B., Timko, C. A. (2014). Craving Facebook? Behavioral addiction to online social networking and its association with emotion regulation deficits. Addiction, 109(12), 2079-2088. doi: 10.1111/add.12713

Hou, Y., Xiong, D., Jiang, T., Song, L., Wang, Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13(1), 4. doi: https://doi.org/10.5817/CP2019-1-4

Hui, Q., Yao, C., Li, M., You, X. (2022). Upward social comparison sensitivity on teachers’ emotional exhaustion: A moderated moderation model of self-esteem and gender. Journal of Affective Disorders, 299, 568-574. doi: 10.1016/j.jad.2021.12.081

IBM Corp. Released 2016. IBM SPSS Statistics for Windows, Version 24.0. Armonk, NY: IBM Corp.

Inandi, Y., Büyüközkan, A. S. (2022). The relationship between mobbing, alienation and burnout among teachers in Mersin, Turkey. South African Journal of Education, 42(1), 1-12. doi: http://dx.doi.org/10.15700/saje.v42n1a1990

Jurgenson, N. (2012). Twitter Revolution. In The Wiley-Blackwell Encyclopedia of Globalization. doi: https://doi.org/10.1002/9780470670590.wbeog921

Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31, 351-354. doi: https://doi.org/10.1016/j.chb.2013.10.059

Kish-Gephart, J. J., Harrison, D. A., Treviño, L. K. (2011). Bad apples, bad cases, and bad barrels: meta-analytic evidence about sources of unethical decisions at work. Journal of applied Psychology, 95(1), 1-31. doi: 10.1037/a0017103.

Kojima, R., Sato, M., Akiyama, Y., Shinohara, R., Mizorogi, S., Suzuki, K., Yokomichi, H., Yamagata, Z. (2018). Problematic Internet use and its associations with health-related symptoms and lifestyle habits among rural Japanese adolescents. Psychiatry and Clinical Neurosciences, 73(1), 20-26. doi: 10.1111/pcn.12791

Krischer, M. M., Penney, L. M., Hunter, E. M. (2010). Can Counterproductive Work Behaviors Be Productive? CWB as Emotion-Focused Coping. Journal of Occupational Health Psychology, 15(2), 156-166. doi: 10.1037/a0018349

Kumar, M., Mondal, A. (2018). A study on Internet addiction and its relation to psychopathology and self-esteem among college students . Industrial Psychology Journal, 27(1), 61-66. doi: 10.4103/ipj.ipj_61_17

Labban, A., Bizzi, L. (2022). Are social media good or bad for employees? It depends on when they use them . Behaviour & Information Technology, 41(4), 678-693. doi: https://doi.org/10.1080/0144929X.2020.1830174

Labban, A., Bizzi, L. (2021). Communication Via Social Media: How Employees Will Paradoxically Support the Organization while Putting Less Effort at Work. International Journal of Business Communication, 31(5). doi: https://doi.org/10.1177/23294884211005526

Lam, C. K., Van der Vegt, G. S., Walter, F., Huang, X. (2011). Harming high performers: A social comparison perspective on interpersonal harming in work teams. Journal of Applied Psychology, 96(3), 588-601. doi: https://doi.org/10.1037/a0021882

Latif, K., Weng, Q., Pitafi, A. H., Ali, A., Siddiqui, A. W., Malik, M. Y., Latif, Z. (2021). Social comparison as a double-edged sword on social media: The role of envy type and online social identity. Telematics and Informatics. doi: 10.1016/j.tele.2020.101470

Le, M. T. (2020). Social comparison effects on brand addiction: A mediating role of materialism. Heliyon, 6(11). doi: 10.1016/j.heliyon.2020.e05460

Leavitt, K., Zhu, L., Klotz, A., Kouchaki, M. (2022). Fragile or robust? Differential effects of gender threats in the workplace. Organizational Behavior and Human Decision Processes, 168. doi: 10.1016/j.obhdp.2021.104112

Litt, D. M., Rodriguez, L. M., Stewart, S. H. (2021). Examining Associations Between Social Networking Site Alcohol-Specific Social Norms, Posting Behavior, and Drinking to Cope During the COVID-19 Pandemic. Cyberpsychology, Behavior, and Social Networking, 24(11), 715-721. doi: 10.1089/cyber.2020.0568

Litt, M. D., Kadden, R. M., Tennen, H. (2015). Network Support Treatment for Alcohol Dependence: Gender Differences in Treatment Mechanisms and Outcomes. Addictive Behaviors, 45, 87-92. doi: https://doi.org/10.1016/j.addbeh.2015.01.005

Liu, P., He, J., Li, A. (2019). Upward social comparison on social network sites and impulse buying: A moderated mediation model of negative affect and rumination. Computers in Human Behavior, 96, 133-140. doi: https://doi.org/10.1016/j.chb.2019.02.003

Lowery, M. R., Clark, M. A., Carter, N. T. (2021). The balancing act of performance: Psychometric networks and the causal interplay of organizational citizenship and counterproductive work behaviors. Journal of Vocational Behavior, 125. doi: https://doi.org/10.1016/j.jvb.2020.103527

Luo, X. R., Xu, F., Zhang, J., Xiao, S., Xue, B. (2022). Effects of Organizational Controls on Employees' Cyber-loafing: The Moderating Effects of Trait Mindfulness. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 53(1), 61-79. doi: https://doi.org/10.1145/3514097.3514102

Macovei, C. M. (2016). Counterproductive Behaviors and Work performance in Military Organization. nternational Conference KNOWLEDGE-BASED ORGANIZATION, 22(2), 444-450. doi:10.1515/kbo-2016-0076

Marciano, L., Camerini, A.-L., Schulz, P. J. (2022). Neuroticism and internet addiction: What is next? A systematic conceptual review. Personality and Individual Differences, 182(4). doi:10.1016/j.paid.2021.111260

Marcus, B., Taylor, O. A., Hastings, S. E., Sturm, A., Weigelt, O. (2016). The structure of counterproductive work behavior: A review, a structural meta-analysis, and a primary study. Journal of Management, 42(1), 203-233. doi: https://doi.org/10.1177/0149206313503019

McClelland, D., Koestner, R., Weinberger, J. (1989). How do self-attributed and implicit motives differ? Psychological Review, 96(4), 690-702. doi: 10.1037/0033-295X.96.4.690

Mercado, B., Dilchert, S., Giordano, C., Ones, D. (2018). Counterproductive Work Behaviors. The SAGE Handbook of Industrial, Work and Organizational Psychology, 109-210. doi: https://dx.doi.org/10.4135/9781473914940.n7

Mérelle, S., Kleiboer, A., Schotanus, M., Cluitmans, T., Waardenburg, C., Kramer, D., van de Mheen, D., & van Rooij, A. J. (2017). Which health-related problems are associated with problematic video-gaming or social media use in adolescents? A large-scale cross-sectional study. Clinical Neuropsychiatry: Journal of Treatment Evaluation, 14(1), 11–19.

Miao, C., Humphrey, R. H., Qian, S. (2017). Are the emotionally intelligent good citizens or counterproductive? A meta-analysis of emotional intelligence and its relationships with organizational citizenship behavior and counterproductive work behavior. Personality and Individual Differences, 116, 144-156. doi: https://doi.org/10.1016/j.paid.2017.04.015

Murray, H. A. (1938). Explorations in personality; A clinical and experimental study of fifty men of college age.

Murtaza, G., Neveu, J. P., Khan, R., Ain Talpur, Q. U. (2021). Gossip 2.0: The Role of Social Media and Moral Attentiveness on Counterproductive Work Behavior. Academy of Management, 2021(1). doi: https://doi.org/10.5465/AMBPP.2021.11950abstract

Nasrun, Yusnadi, Elvimailani, Faisal, Sriadhi. (2019). ICONSEIR 2019: Proceedings of the 2nd International Conference of Science Education in Industrial Revolution 4.0, ICONSEIR, December 17th,2019, Medan, North Sumatra, Indonesia.

Netchaeva, E., Kouchaki, M., Sheppard, L. D. (2015). A man's (precarious) place: Men's experienced threat and self-assertive reactions to female superiors. Personality and Social Psychology Bulletin, 41(9), 1247-1259. doi: https://doi.org/10.1177/0146167215593491

Newton, C., Perlow, R. (2021). The Role of Leader-Member Exchange Relations and Individual Differences on Counterproductive Work Behavior. Psychological Reports. doi:10.1177/0033294121989298

Ng, T. W., Lam, S. S., Feldman, D. C. (2016). Organizational citizenship behavior and counterproductive work behavior: Do males and females differ? Journal of Vocational Behavior, 93, 11-32. doi:10.1016/J.JVB.2015.12.005

Nguyen, N., Pascart, S., Borteyrou, X. (2021). The dark triad personality traits and work behaviors: A person-centered approach. Personality and Individual Differences, 170. doi: https://doi.org/10.1016/j.paid.2020.11043

Obar, J., Wildman, S. (2015). Social Media Definition and the Governance Challenge: An Introduction to the Special Issue. Telecommunications Policy, 39(9), 745-750. doi: https://doi.org/10.1016/j.telpol.2015.07.014

Oksa, R., Kaakinen, M., Savela, N., Ellonen, N., Oksanen, A. (2020). Professional social media usage: Work engagement perspective. New Media & Society, 23(8), 2303-2326. doi: https://doi.org/10.1177/1461444820921938

Orr, D., Seter, M. (2020). OD Strategies and Workplace Bullying: Approaches for Prevention, Existing Issues, and Post-Event Understanding. Organization Development Review, 52(3), 36-45.

Öztürk, G. K., Özdil, K. (2022). The window to the world for individuals with mental disorders: A qualitative study about social media. Archives of Psychiatric Nursing, 39, 20-27. doi: https://doi.org/10.1016/j.apnu.2022.03.001

Palmer, J. C., Komarraju, M., Carter, M. Z., Karau, S. J. (2017). Angel on one shoulder: Can perceived organizational support moderate the relationship between the Dark Triad traits and counterproductive work behavior? Personality and Individual Differences, 110, 31-37. doi: https://doi.org/10.1016/j.paid.2017.01.018

Parker, S., Jimmieson, N., Amiot, C. (2010). Self-determination as a moderator of demands and control: Implications for employee strain and engagement. Journal of Vocational Behavior, 76(1), 52-76. doi: https://doi.org/10.1016/j.jvb.2009.06.010

Parsons, K., Calic, D., Pattinson, M., Butavicius, M., McCormac, A., Zwaans, T. (2017). The Human Aspects of Information Security Questionnaire (HAIS-Q): Two further validation studies. Computers & Security, 66, 40-51. doi: https://doi.org/10.1016/j.cose.2017.01.004

Paschke, K., Austermann, M. I., Thomasius, R. (2021). ICD-11-Based Assessment of Social Media Use Disorder in Adolescents: Development and Validation of the Social Media Use Disorder Scale for Adolescents. Frontiers in Psychiatry, 12. doi: 10.3389/fpsyt.2021.661483

Pletzer, J. L. (2021). Why older employees engage in less counterproductive work behavior and in more organizational citizenship behavior: Examining the role of the HEXACO personality traits. Personality and Individual Differences, 173. doi: https://doi.org/10.1016/j.paid.2020.110550

Pontes, H. (2017). Investigating the differential effects of social networking site addiction and Internet gaming disorder on psychological health. Journal of Behavioral Addictions, 6(4), 601-610. doi: 10.1556/2006.6.2017.075

Primack, B., Escobar-Viera, C. (2017). Social media as it interfaces with psychosocial development and mental illness in transitional age youth. Child and Adolescent Psychiatric Clinics of North America, 26(2):217-233. doi: 10.1016/j.chc.2016.12.007

Robinson, A., Bonnette, A., Howard, K., Ceballos, N., Dailey, S., Lu, Y., Grimes, T. (2019). Social comparisons, social media addiction, and social interaction: An examination of specific social media behaviors related to major depressive disorder in a millennial population. Journal of Applied Biobehavioral Research, 24(1). doi: https://doi.org/10.1111/jabr.12158

Robinson, S. L., Bennett, R. J. (1995). A typology of deviant workplace behaviors: A multidimensional scaling study. Academy of Management Journal, 38(2), 555–572. doi: https://doi.org/10.2307/256693

Rosenthal-von der Pütten, A. M., Hastall, M. R., Köcher, S., Meske, C., Heinrich, T., Labrenz, F., Ocklenburg, S. (2019). “Likes” as social rewards: Their role in online social comparison and decisions to like other people's selfies. Computers in Human Behavior, 92, 76–86. doi https://doi.org/10.1016/j.chb.2018.10.017

Rozgonjuk, D. P., Jürimäe, K., Schwarz, R. J., J, A. (2020). Instagram use frequency is associated with problematic smartphone use, but not with depression and anxiety symptom severity. Mobile Media & Communication, 8(3), 400-418. doi: https://doi.org/10.1177/2050157920910190

Runge, M. J., Lang, J. W., Zettler, I., Lievens, F. (2020). Predicting counterproductive work behavior: Do implicit motives have. Journal of Research in Personality, 89, 1-21. doi: 10.1016/j.jrp.2020.104019

Ryan, T., Chester, A., Reece, J., Xenos, S. (2014). The Uses and Abuses of Facebook: A Review of Facebook Addiction. Journal of Behavioral Addictions, 3(3), 133-148. doi: 10.1556/JBA.3.2014.016

Saritepeci, M. (2020). Predictors of cyberloafing among high school students: unauthorized access to school network, metacognitive awareness and smartphone addiction. Education and Information Technologies, 25, 2201–2219. doi: https://doi.org/10.1007/s10639-019-10042-0 Satici, S., Uysal, R. (2015). Well-being and Problematic Facebook Use. Computers in Human Behavior, 49(c), 185-190. doi: https://doi.org/10.1016/j.chb.2015.03.005

Schilbach, M., Baethge, A., Rigotti, T. (2020). Why employee psychopathy leads to counterproductive workplace behaviours: an analysis of the underlying mechanisms. European Journal of Work and Organizational Psychology, 29(5), 693-706. doi: 10.1080/1359432X.2020.1739650

Schivinski, B., Brzozowska-Woś, M., Stansbury, E., Satel, J., Montag, C., & Pontes, H. M. (2020). Exploring the Role of Social Media Use Motives, Psychological Well-Being, Self-Esteem, and Affect in Problematic Social Media Use. Frontiers in Psychology, 11. doi: 10.3389/fpsyg.2020.617140

Schneider, S., Schupp, J. (2011). The Social Comparison Scale: Testing the Validity, Reliability, and Applicability of the Iowa-Netherlands Comparison Orientation Measure (INCOM) on the German Population. SOEPpapers 360. doi: http://hdl.hande.net/10419/150905

Seidler, A., Thinschmidt, M., Deckert, S., Then, F., Hegewald, J., Nieuwenhuijsen, K., Riedel-Heller, S. G. (2014). The role of psychosocial working conditions on burnout and its core component emotional exhaustion – a systematic review. Journal of Occupational Medicine and Toxicology, 9(1), 10. doi: 10.1186/1745-6673-9-10

Servidio, R., Sinatra, M., Griffiths, M. D., Monacis, L. (2021). Social comparison orientation and fear of missing out as mediators between self-concept clarity and problematic smartphone use. Addictive Behaviors, 122. doi: 10.1016/j.addbeh.2021.107014

Sha, P., Sariyska, R., Riedl, R., Lachmann, B., Montag, C. (2019). Linking internet communication and smartphone use disorder by taking a closer look at the Facebook and WhatsApp applications. Addictive Behaviors Reports, 9. doi: https://doi.org/10.1016/j.abrep.2018.100148

Sharma, A., Sanghvi, K., Churi, P. (2022). The impact of Instagram on young Adult’s social comparison, colourism and mental health: Indian perspective. International Journal of Information Management Data, 2(1). doi: https://doi.org/10.1016/j.jjimei.2022.100057

Shred-it. (2018). The state of the industry. Accessed at 3rd of April, 20:19 at https://www.shredit.com.au/en-au/about/press-room/press-releases/businesses-prepared-to-meet-information-security-challenges

Shrivastavaa, A., Sharmab, M. K., Marimuthu, P. (2018). Internet addiction at workplace and it implication for workers life style: Exploration from Southern India. Asian Journal of Psychiatry, 32, 151-155. doi: 10.1016/j.ajp.2017.11.014

Simsek, A., Elciyar, K., Kizilhan, T. (2019). A Comparative Study on Social Media Addiction of High School and University Students. Contemporary Educational Technology, 10(2), 106-119. doi:10.30935/cet.554452

Smoktunowicz, E., Baka, L., Cieslak, R., Nichols, C. F., Benight, C. C., Luszczynska, A. (2015). Explaining counterproductive work behaviors among police officers: The indirect effects of job demands are mediated by job burnout and moderated by job control and social support. Human Performance, 28(4), 332–350.

doi: https://doi.org/10.1080/08959285.2015.1021045

Sohn, S. Y., Rees, P., Wildridge, B., Kalk, N. J., & Carter, B. (2019). Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: A systematic review, meta-analysis and GRADE of the evidence. BMC Psychiatry, 19(1), 365. doi: 10.1186/s12888-019-2350-x

Song, H., Cramer, E. M., Park, N. (2019). Cultural differences in social comparison on Facebook. Behaviour & Information Technology, 38(2), 172–183. doi: https://doi.org/10.1080/0144929X.2018.1519037

Spector, P. E., Zhou, Z. E. (2014). The moderating role of gender in relationships of stressors and personality with counterproductive work behavior. Journal of Business and Psychology, 29(4), 669–681. doi: https://doi.org/10.1007/s10869-013-9307-8

Spector, P. E., Fox, S., Penney, L., Bruursema, K., Goh, A., Kessler, S. (2006). The dimensionality of counterproductivity: Are all counterproductive behaviors created equal? Journal of Vocational Behavior, 68(3), 446-460. doi: https://doi.org/10.1016/j.jvb.2005.10.005

Spilková, J., Chomynová, P., Csémy, L. (2017). Predictors of excessive use of social media and excessive online gaming in Czech teenagers. Journal of Behavioral Addictions, 6(4), 611-619. doi: 10.1556/2006.6.2017.064

Stănculescu, E. (2022). The Bergen Social Media Addiction Scale Validity in a Romanian Sample Using Item

Response Theory and Network Analysis. International Journal of Mental Health and Addiction. doi: https://doi.org/10.1007/s11469-021-00732-7

Statistia. (2022). Accessed at 8th of May, 18:43 at https://www.statista.com/topics/7134/social-media-usage-in-romania/#dossierKeyfigures

Subramanian, K. (2017). Product Promotion in an Era of Shrinking Attention Span. International Journal of Engineering and Management Research, 7(2), 85-91.

Șulea, C., Maricuţoiu, L., Dumitru, C. Z. (2010). Predicting counterproductive work behaviors: A meta-analysis of their relationship with individual and situational factors. Psihologia Resurselor Umane, 8(1), 66-81. doi: https://doi.org/10.24837/pru.v8i1.427

Sypniewska, B. (2020). Counterproductive work behavior and organizational citizenship behavior. Advances in Cognitive Psychology, 16(4), 321–328. doi: https://doi.org/10.5709/acp-0306-9

Szostek, D., Balcerzak, A. P., Rogalska, E. (2020). The relationship between personality, organizational and interpersonal counterproductive work challenges in industry 4.0. Acta Montanistica Slovaca, 25(4), 577-592. doi: 10.46544/AMS.v25i4.11

Talwar, S., Dhir, A., Kaur, P., Zafar, N., Alrasheedy, M. (2019). Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior. Journal of Retailing and Consumer Services, 51, 72-82. doi:10.1016/j.jretconser.2019.05.026

Tandon, A., Dhir, A., Talwar, S., Kaur, P., Mantymaki, M. (2021). Dark consequences of social media-induced fear of missing out (FoMO): Social media stalking, comparisons, and fatigue. Technological Forecasting & Social Change, 171. doi: https://doi.org/10.1016/j.techfore.2021.120931

Tandon, A., Kaur, P., Dhir, A., & Mantymaki, M. (2020). Sleepless due to social media? Investigating problematic sleep due to social media and social media sleep hygiene. Computers in Human Behavior, 131. doi: https://doi.org/10.1016/j.chb.2020.106487

Tandon, A., Kaur, P., Ruparel, N., Islam, J. U., Dhir, A. (2021). Cyberloafing and cyberslacking in the workplace: systematic literature review of past achievements and future promises. Internet Research, 32(1), 55-89. doi:10.1108/INTR-06-2020-0332

Tang, J.H., Chen, M.C., Yang, C.Y., Chung, T.Y., Lee, Y.A. (2016). Personality traits, interpersonal relationships, online social support, and Facebook addiction. Telematics and Informatics, 33(1), 102-108. doi:10.1016/j.tele.2015.06.003

Tatar, Z. B., Yüksel, Ş. (2018). Mobbing at Workplace –Psychological Trauma and Documentation of Psychiatric Symptoms. Noro Psikiyatr Ars 56(1), 57-62. doi: 10.29399/npa.22924.

Taylor, C. (2017). Strategies and Beha ategies and Behaviors of Cyber De viors of Cyber Deviance and Internet T viance and Internet Trolling. All Master's Theses, 782.

The jamovi project (2021). jamovi (Version 1.6) [Computer Software]. Retrieved from https://www.jamovi.org

Turan, G., Özer, Z., & Atan, G. (2021). The relationship between cyberloafing levels and social media addiction among nursing students. Perspectives in Psychiatric Care, 57(2), 836-843. doi:10.1111/ppc.12624

Uche, I. I., George, O., Abiola, W. (2017). Counterproductive Work Behaviors: a Socio-Demographic Characteristic-Based Study among Employees in the Nigerian Maritime Sector. ACTA UNIV. SAPIENTIAE, ECONOMICS AND BUSINESS, 5, 117-138. doi: 10.1515/auseb-2017-0006

Ugwu, L. I., Enwereuzor, I. K., Fimber, U. S., Ugwu, D. I. (2017). Nurses’ burnout and counterproductive work behavior in a Nigerian sample: The moderating role of emotional intelligence. International Journal of Africa Nursing Sciences, 7(c), 106-113. doi: https://doi.org/10.1016/j.ijans.2017.11.004

Underwood, M., Ehrenreich, S. (2017). The power and the pain of adolescents' digital communication: Cyber victimization and the perils of lurking. American Psychologist, 72(2), 144-158. doi:10.1037/a0040429

Van Den Eijnden, R., Koning, I., Doornwaard, S., Van Gurp, F., ter Bogt, T. (2018). The impact of heavy and disordered use of games and social media on adolescents’ psychological, social, and school functioning. Journal of Behavioral Addictions, 7(3), 697-706. doi: 10.1556/2006.7.2018.65

van der Zee, K., Buunk, B. P., Sanderman, R., Botke, G., van den Bergh, F. (1999). The Big Five and Identification - Contrast Process in Social Comparison Adjustment to Cancer Treatment. European Journal of Personality, 13(4), 307-326. doi: 10.1002/(SICI)1099-0984(199907/08)13:4<307::AID-PER342>3.0.CO;2-R

van Zoonen, W., Treem, J. W., ter Hoeven, C. L. (2022). A tool and a tyrant: Social media and well-being in organizational contexts. Current Opinion in Psychology, 45. doi: 10.1016/j.copsyc.2022.101300

Verduyn, P., Gugushvili, N., Kross, E. (2021). Do Social Networking Sites Influence Well-Being? The Extended Active-Passive Model. Current Directions in Psychological Science, 31(1). doi: https://doi.org/10.1177/09637214211053637

Vogel, E., Rose, J., Okdie, B., Eckles, K., Franz, B. (2015). Who compares and who dispairs? The effect of social comparison orientation on social media use and its outcomes. Personality and Individual Differences, 86, 249-256. doi: https://doi.org/10.1016/j.paid.2015.06.026

Vveinhardt, J., Sroka, W. (2020). Mobbing and corporate social responsibility: does the status of the organisation guarantee employee wellbeing and intentions to stay in the job? Oeconomia Copernicana, 11(4), 743-778. doi:10.24136/oc.2020.030

Wang, C., Lee, M. K., Hua, Z. (2015). A theory of social media dependence: Evidence from microblog users. Decision Support Systems, 69, 40-49. doi: https://doi.org/10.1016/j.dss.2014.11.002

Wang, P., Xie, X., Wang, X., Wang, X., Zhao, F., Chu, X., Nie, J., Lei, L. (2018). The need to belong and adolescent authentic self-presentation on SNSs: A moderated mediation model involving FoMO and perceived social support. Personality and Individual Difference, 128, 133-138. doi: 10.1016/j.paid.2018.02.035

Wartberg, L., Kriston, L., & Thomasius, R. (2020). Internet gaming disorder and problematic social media use in a representative sample of German adolescents: Prevalence estimates, comorbid depressive symptoms and related psychosocial aspects. Computers in Human Behavior, 103, 31-36. doi: https://doi.org/10.1016/j.chb.2019.09.014

Waterloo, S. F., Baumgartner, S. E., Peter, J., Valkenburg, P. M. (2018). Norms of online expressions of emotion: Comparing Facebook, Twitter, Instagram, and WhatsApp. New Media and Society, 20(5), 1813-1831. doi: https://doi.org/10.1177/1461444817707349

Wekmen, G., Janurek, J., Junker, N. M., Häusser, J. A. (2021). The Impact of social comparisons of job demands and job control on well-being. Applied Psychology Health and Well-Being, 13(2), 419-436. doi: https://doi.org/10.1111/aphw.12257

Wheaton, M. G., Messner, G. R., Marks, J. B. (2020). Intolerance of uncertainty as a factor linking obsessive-compulsive symptoms, health anxiety and concerns about the spread of the novel coronavirus (COVID-19) in the United States. Journal of Obsessive-Compulsive and Related Disorders. doi: 10.1016/j.jocrd.2020.100605

WHO. (2019). International Classification of Diseases 11th Revision: the Global Standard for Diagnostic Health Information, 28. doi: 10.1016/j.jocrd.2020.100605

Wolniewicz, C. A., Tiamiyu, M. F., Weeks, J. W., Elhai, J. D. (2018). Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation. Psychiatry Research, 262, 618-623. doi: 10.1016/j.psychres.2017.09.058

Wood, J. (1996). What is social comparison and how should we study it? Personality and Social Psychology Bulletin, 22(5), 520-537. doi: https://doi.org/10.1177/0146167296225009

Wurthmann, K. (2019). A Model of the Psychological and Tangible Ripple Effects of Serious Counterproductive Work Behaviour. e-Journal of Social & Behavioural Research in Business, 47(6), 1-21. doi: https://doi.org/10.1177/0149206320978812

Xie, L., Pinto, J., Zhong, B. (2022). Building community resilience on social media to help recover from the COVID-19 pandemic. Computers in Human Behavior, 134. doi: 10.1016/j.chb.2022.107294

Xin, M., Xing, J., Pengfei, W., Houru, L., Mengcheng, W., Hong, Z. (2018). Online activities, prevalence of Internet addiction and risk factors related to family and school among adolescents in China. Addictive Behaviors Reports, 7, 14-18. doi: https://doi.org/10.1016/j.abrep.2017.10.003

Yoon, S., Kleinman, M., Mertz, J., Brannick, M. (2019). Is social network site usage related to depression? A meta-analysis of Facebook-depression relations . Journal of Affective Disorders, 248, 65-72. doi: 10.1016/j.jad.2019.01.026

You, D., Maeda, Y., Bebeau, M. J. (2011). Gender differences in moral sensitivity: A meta-analysis. Ethics & Behavior, 21(4), 263-282. doi: https://doi.org/10.1080/10508422.2011.585591

Yue, C., Liu, C., Wang, J., Zhang, M., Wu, H., Li, C., Yang, X. (2021). Association between social support and anxiety among pregnant women in the third trimester during the coronavirus disease 2019 (COVID-19) epidemic in Qingdao, China: The mediating effect of risk perception. International Journal of Social Psychiatry, 67(2), 120-127. doi: 10.1177/0020764020941567

Yue, Z., Zhang, R., & Xiao, J. (2022). Passive social media use and psychological well-being during the COVID-19 pandemic: The role of social comparison and emotion regulation. Computers in Human Behavior, 127. doi: 10.1016/j.chb.2021.107050

Zachlod, C., Samuel, O., Ochsner, A., Werthmüler, S. (2022). Analytics of social media data – State of characteristics and application. Journal of Business Research, 144(C), pages 1064-1076. doi: 10.1016/j.jbusres.2022.02.016

Zaki, H. S. (2020). The Effect of Customer Uncivil Behavior on Counterproductive Work Behavior and Quit Intention of Airlines’ Frontline Employees: Emotional Intelligence as a Moderator. Journal of the Faculty of Tourism and Hotels-University of Sadat City, 4(2).

Zamir, H. (2022). Cybersecurity and Social Media. School of Information Studies, Dominican University

Zettler, I. (2017). Personality and counterproductive work behavior. In Encyclopedia of personality and individual differences. Springer International Publishing. doi: DOI: https://doi.org/10.1007/978-3-319-28099-8_789-1

Zhou, Z. (2018). Counterproductive Work Behavior. Oxford Bibliographies. doi: 10.1093/OBO/9780199846740-0143

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Social Media Addiction, Social Comparison and Counterproductive Work Behaviour. (2022). Studia Doctoralia Psychology and Educational Science, 13(1), 50-68. https://doi.org/10.47040/sdpsych.v13i1.143