Work and affective outcomes of social media use at work: a daily-survey study

References

• Addas, S., & Pinsonneault, A. (2015). The many faces of information technology interruptions: A taxonomy and preliminary investigation of their performance effects. Information Systems Journal, 25(3), 231–273. https://doi.org/10.1111/isj.12064
   Web of Science ®Google Scholar
• Addas, S., & Pinsonneault, A. (2018). E-Mail interruptions and individual performance: Is there a silver lining? MIS Quarterly, 42(2), 381–405. https://doi.org/10.25300/MISQ/2018/13157
   Web of Science ®Google Scholar
• Ali-Hassan, H., Nevo, D., & Wade, M. (2015). Linking dimensions of social media use to job performance: The role of social capital. The Journal of Strategic Information Systems, 24(2), 65–89. https://doi.org/10.1016/j.jsis.2015.03.001
   Web of Science ®Google Scholar
• Bala, H., & Bhagwatwar, A. (2018). Employee dispositions to job and organization as antecedents and consequences of information systems use. Information Systems Journal, 28(4), 650–683. https://doi.org/10.1111/isj.12152
   Web of Science ®Google Scholar
• Bamberg, S., Hunecke, M., & Blöbaum, A. (2007). Social context, personal norms and the use of public transportation: Two field studies. Journal of Environmental Psychology, 27(3), 190–203. https://doi.org/10.1016/j.jenvp.2007.04.001
   Web of Science ®Google Scholar
• Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248–287. https://doi.org/10.1016/0749-5978(91)90022-L
   Web of Science ®Google Scholar
• Barber, L., Grawitch, M. J., & Munz, D. C. (2013). Are better sleepers more engaged workers? A self-regulatory approach to sleep hygiene and work engagement. Stress and Health: Journal of the International Society for the Investigation of Stress, 29(4), 307–316. https://doi.org/10.1002/smi.2468
   PubMed Web of Science ®Google Scholar
• Baumeister, R. F., & Heatherton, T. F. (1996). Self-regulation failure: An overview. Psychological Inquiry, 7(1), 1–15. https://doi.org/10.1207/s15327965pli0701_1
   Web of Science ®Google Scholar
• Baumeister, R. F., Vohs, K. D., & Tice, D. M. (2007). The strength model of self-control. Current Directions in Psychological Science, 16(6), 351–355. https://doi.org/10.1111/j.1467-8721.2007.00534.x
   Web of Science ®Google Scholar
• Beal, D. J. (2015). ESM 2.0: State of the art and future potential of experience sampling methods in organizational research. Annual Review of Organizational Psychology and Organizational Behavior, 2(1), 383–407. https://doi.org/10.1146/annurev-orgpsych-032414-111335
   Google Scholar
• Becton, J. B., Walker, H. J., Schwager, P., & Gilstrap, J. B. (2019). 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(15), 2251–2272. https://doi.org/10.1080/09585192.2017.1314977
   Web of Science ®Google Scholar
• Bizzi, L. (2020). Should HR managers allow employees to use social media at work? Behavioral and motivational outcomes of employee blogging. The International Journal of Human Resource Management, 31(10), 1285–1312. https://doi.org/10.1080/09585192.2017.1402359
   Web of Science ®Google Scholar
• Cascio, W. F., & Montealegre, R. (2016). How technology is changing work and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 3(1), 349–375. https://doi.org/10.1146/annurev-orgpsych-041015-062352
   Google Scholar
• Coovert, M. D., & Thompson, L. F. (2014). Toward a synergistic relationship between psychology and technology. In M. D. Coovert & L. F. Thompson (Eds.), The psychology of workplace technology (pp. 1–17). Routledge.
   Google Scholar
• Derks, D., van Duin, D., Tims, M., & Bakker, A. B. (2015). Smartphone use and work-home interference: The moderating role of social norms and employee work engagement. Journal of Occupational and Organizational Psychology, 88(1), 155–177. https://doi.org/10.1111/joop.12083
   Web of Science ®Google Scholar
• Duke, É., & Montag, C. (2017). Smartphone addiction, daily interruptions and self-reported productivity. Addictive Behaviors Reports, 6(July), 90–95. https://doi.org/10.1016/j.abrep.2017.07.002
   PubMedGoogle Scholar
• Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2017). Non-social features of smartphone use are most related to depression, anxiety and problematic smartphone use. Computers in Human Behavior, 69, 75–82. https://doi.org/10.1016/j.chb.2016.12.023
   Web of Science ®Google Scholar
• Elhai, J. D., Rozgonjuk, D., Alghraibeh, A. M., & Yang, H. (2021). Disrupted daily activities from interruptive smartphone notifications: Relations with depression and anxiety severity and the mediating role of boredom proneness. Social Science Computer Review, 39(1), 20–37. https://doi.org/10.1177/0894439319858008
   Web of Science ®Google Scholar
• Freeman, N., & Muraven, M. (2010). Don’t interrupt me! Task interruption depletes the self’s limited resources. Motivation and Emotion, 34(3), 230–241. https://doi.org/10.1007/s11031-010-9169-6
   Web of Science ®Google Scholar
• Gabriel, A. S., Koopman, J., Rosen, C. C., & Johnson, R. E. (2018). Helping others or helping oneself? An episodic examination of the behavioral consequences of helping at work. Personnel Psychology, 71(1), 85–107. https://doi.org/10.1111/peps.12229
   Web of Science ®Google Scholar
• Gabriel, A. S., Podsakoff, N. P., Beal, D. J., Scott, B. A., Sonnentag, S., Trougakos, J. P., & Butts, M. M. (2019). Experience sampling methods: A discussion of critical trends and considerations for scholarly advancement. Organizational Research Methods, 22(4), 969–1006. https://doi.org/10.1177/1094428118802626
   Web of Science ®Google Scholar
• Garrett, R. K., & Danziger, J. N. (2007). IM = interruption management? Instant messaging and disruption in the workplace. Journal of Computer-Mediated Communication, 13(1), 23–42. https://doi.org/10.1111/j.1083-6101.2007.00384.x
   Web of Science ®Google Scholar
• Gibbs, J. L., Rozaidi, N. A., & Eisenberg, J. (2013). Overcoming the “ideology of openness”: Probing the affordances of social media for organizational knowledge sharing. Journal of Computer-Mediated Communication, 19(1), 102–120. https://doi.org/10.1111/jcc4.12034
   Web of Science ®Google Scholar
• Gözü, C., Anandarajan, M., & Simmers, C. A. (2015). Work-family role integration and personal well-being: The moderating effect of attitudes towards personal web usage. Computers in Human Behavior, 52, 159–167. https://doi.org/10.1016/j.chb.2015.05.017
   Web of Science ®Google Scholar
• Hinsch, C., & Sheldon, K. M. (2013). The impact of frequent social Internet consumption: Increased procrastination and lower life satisfaction. Journal of Consumer Behaviour, 12(6), 496–505. https://doi.org/10.1002/cb.1453
   Web of Science ®Google Scholar
• Hofmann, D. A., & Gavin, M. B. (1998). Centering decisions in hierarchical linear models: Implications for research in organizations. Journal of Management, 24(5), 623–641. https://doi.org/10.1177/014920639802400504
   Web of Science ®Google Scholar
• Holland, P., & Bardoel, A. (2016). The impact of technology on work in the twenty-first century: Exploring the smart and dark side. The International Journal of Human Resource Management, 27(21), 2579–2581. https://doi.org/10.1080/09585192.2016.1238126
   Web of Science ®Google Scholar
• Holland, P., Cooper, B. K., & Hecker, R. (2016). Use of social media at work: A new form of employee voice? The International Journal of Human Resource Management, 27(21), 2621–2634. https://doi.org/10.1080/09585192.2016.1227867
   Web of Science ®Google Scholar
• Huang, Y., Singh, P. V., & Ghose, A. (2015). A structural model of employee behavioral dynamics in enterprise social media. Management Science, 61(12), 2825–2844. https://doi.org/10.1287/mnsc.2014.2125
   Web of Science ®Google Scholar
• Ilies, R., Peng, A. C., Savani, K., & Dimotakis, N. (2013). Guilty and helpful: An emotion-based reparatory model of voluntary work behavior. The Journal of Applied Psychology, 98(6), 1051–1059. https://doi.org/10.1037/a0034162
   PubMed Web of Science ®Google Scholar
• Iyer, A., Schmader, T., & Lickel, B. (2007). Why individuals protest the perceived transgressions of their country: The role of anger, shame, and guilt. Personality & Social Psychology Bulletin, 33(4), 572–587. https://doi.org/10.1177/0146167206297402
   PubMed Web of Science ®Google Scholar
• Janssen, O. (2001). Fairness perceptions as a moderator in the curvilinear relationships between job demands, and job performance and job satisfaction. Academy of Management Journal, 44(5), 1039–1050. https://doi.org/10.5465/3069447
   Web of Science ®Google Scholar
• Jett, Q. R., & George, J. M. (2003). Work interrupted: A closer look at interruption in organizational life. The Academy of Management Review, 28(3), 494–507. https://doi.org/10.2307/30040736
   Web of Science ®Google Scholar
• Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692–724. https://doi.org/10.2307/256287
   Web of Science ®Google Scholar
• Kim, S., Park, Y., & Headrick, L. (2018). Daily micro-breaks and job performance: General work engagement as a cross-level moderator. The Journal of Applied Psychology, 103(7), 772–786. https://doi.org/10.1037/apl0000308
   PubMed Web of Science ®Google Scholar
• Kim, S., Wang, Y., & Boon, C. (2021). Sixty years of research on technology and human resource management: Looking back and looking forward. Human Resource Management, 60(1), 229–247. https://doi.org/10.1002/hrm.22049
   Web of Science ®Google Scholar
• Klotz, A. C., & Buckley, M. R. (2013). A historical perspective of counterproductive work behavior targeting the organization. Journal of Management History, 19(1), 114–132. https://doi.org/10.1108/17511341311286222
   Google Scholar
• König, C. J., & Waller, M. J. (2010). Time for reflection: A critical examination of polychronicity. Human Performance, 23(2), 173–190. https://doi.org/10.1080/08959281003621703
   Web of Science ®Google Scholar
• Kugler, K., & Jones, W. H. (1992). On conceptualizing and assessing guilt. Journal of Personality and Social Psychology, 62(2), 318–327. https://doi.org/10.1037/0022-3514.62.2.318
   Web of Science ®Google Scholar
• Kühnel, J., Bledow, R., & Feuerhahn, N. (2016). When do you procrastinate? Sleep quality and social sleep lag jointly predict self-regulatory failure at work. Journal of Organizational Behavior, 37(7), 983–1002. https://doi.org/10.1002/job.2084
   Web of Science ®Google Scholar
• Kühnel, J., Vahle-Hinz, T., de Bloom, J., & Syrek, C. J. (2020). Staying in touch while at work: Relationships between personal social media use at work and work-nonwork balance and creativity. The International Journal of Human Resource Management, 31(10), 1235–1261. https://doi.org/10.1080/09585192.2017.1396551
   Web of Science ®Google Scholar
• Leonardi, P. M., & Vaast, E. (2017). Social media and their affordances for organizing: A review and agenda for research. Academy of Management Annals, 11(1), 150–188. https://doi.org/10.5465/annals.2015.0144
   Web of Science ®Google Scholar
• Lim, V. K. G., & Chen, D. J. Q. (2012). Cyberloafing at the workplace: Gain or drain on work? Behaviour & Information Technology, 31(4), 343–353. https://doi.org/10.1080/01449290903353054
   Web of Science ®Google Scholar
• Major, D. A., Davis, D. D., Germano, L. M., Fletcher, T. D., Sanchez-Hucles, J., & Mann, J. (2007). Managing human resources in information technology: Best practices of high performing supervisors. Human Resource Management, 46(3), 411–427. https://doi.org/10.1002/hrm.20171
   Web of Science ®Google Scholar
• Mazmanian, M. (2013). Avoiding the trap of constant connectivity: When congruent frames allow for heterogeneous practices. Academy of Management Journal, 56(5), 1225–1250. https://doi.org/10.5465/amj.2010.0787
   Web of Science ®Google Scholar
• McCormick, B. W., Reeves, C. J., Downes, P. E., Li, N., & Ilies, R. (2020). Scientific contributions of within-person research in management: Making the juice worth the squeeze. Journal of Management, 46(2), 321–350. https://doi.org/10.1177/0149206318788435
   Web of Science ®Google Scholar
• McFarland, L. A., & Ployhart, R. E. (2015). Social media: A contextual framework to guide research and practice. The Journal of Applied Psychology, 100(6), 1653–1677. https://doi.org/10.1037/a0039244
   PubMed Web of Science ®Google Scholar
• Meier, A., Reinecke, L., & Meltzer, C. E. (2016). Facebocrastination”? Predictors of using Facebook for procrastination and its effects on students’ well-being. Computers in Human Behavior, 64, 65–76. https://doi.org/10.1016/j.chb.2016.06.011
   Web of Science ®Google Scholar
• Metin, U. B., Taris, T. W., & Peeters, M. C. W. (2016). Measuring procrastination at work and its associated workplace aspects. Personality and Individual Differences, 101, 254–263. https://doi.org/10.1016/j.paid.2016.06.006
   Web of Science ®Google Scholar
• Meyer, J. P., & Gagnè, M. (2008). Employee engagement from a self-determination theory perspective. Industrial and Organizational Psychology, 1(1), 60–62. https://doi.org/10.1111/j.1754-9434.2007.00010.x
   Web of Science ®Google Scholar
• Muraven, M., & Baumeister, R. F. (2000). Self-regulation and depletion of limited resources: Does self-control resemble a muscle? Psychological Bulletin, 126(2), 247–259. https://doi.org/10.1037/0033-2909.126.2.247
   PubMed Web of Science ®Google Scholar
• Muthén, L. K., & Muthén, B. O. (Eds.). (2017). MPLUS user’s guide (8th ed.). Muthén & Muthén.
   Google Scholar
• Myllymäki, D. (2021). Beyond the ‘e- ‘ in e-HRM : Integrating a sociomaterial perspective. The International Journal of Human Resource Management, 32(12), 2563–2591. https://doi.org/10.1080/09585192.2021.1913624
   Web of Science ®Google Scholar
• O’Neill, T. A., Hambley, L. A., & Chatellier, G. S. (2014). Cyberslacking, engagement, and personality in distributed work environments. Computers in Human Behavior, 40, 152–160. https://doi.org/10.1016/j.chb.2014.08.005
   Web of Science ®Google Scholar
• Ophir, E., Nass, C., & Wagner, A. D. (2009). Cognitive control in media multitaskers. Proceedings of the National Academy of Sciences of the United States of America, 106(37), 15583–15587. https://doi.org/10.1073/pnas.0903620106
   PubMed Web of Science ®Google Scholar
• Pindek, S., Krajcevska, A., & Spector, P. E. (2018). Cyberloafing as a coping mechanism: Dealing with workplace boredom. Computers in Human Behavior, 86, 147–152. https://doi.org/10.1016/j.chb.2018.04.040
   Web of Science ®Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Reinecke, L., Hartmann, T., & Eden, A. (2014). The guilty couch potato: The role of ego depletion in reducing recovery through media use. Journal of Communication, 64(4), 569–589. https://doi.org/10.1111/jcom.12107
   Web of Science ®Google Scholar
• Rothbard, N. P. (2001). Enriching or depleting? The dynamics of engagement in work and family roles. Administrative Science Quarterly, 46(4), 655–684. https://doi.org/10.2307/3094827
   Web of Science ®Google Scholar
• Rozgonjuk, D., Elhai, J. D., Ryan, T., & Scott, G. G. (2019). Fear of missing out is associated with disrupted activities from receiving smartphone notifications and surface learning in college students. Computers & Education, 140, 103590. https://doi.org/10.1016/j.compedu.2019.05.016
   Web of Science ®Google Scholar
• Rozgonjuk, D., Sindermann, C., Elhai, J. D., & Montag, C. (2020). Fear of Missing Out (FoMO) and social media’s impact on daily-life and productivity at work: Do WhatsApp, Facebook, Instagram, and Snapchat Use Disorders mediate that association? Addictive Behaviors, 110, 106487. https://doi.org/10.1016/j.addbeh.2020.106487
   PubMed Web of Science ®Google Scholar
• Sheikh, S., & Janoff-Bulman, R. (2010). The “shoulds” and “should nots” of moral emotions: A self-regulatory perspective on shame and guilt. Personality and Social Psychology Bulletin, 36(2), 213–224. https://doi.org/10.1177/0146167209356788
   PubMed Web of Science ®Google Scholar
• Sirois, F., & Pychyl, T. (2013). Procrastination and the priority of short-term mood regulation: Consequences for future self. Social and Personality Psychology Compass, 7(2), 115–127. https://doi.org/10.1111/spc3.12011
   Google Scholar
• Sonnentag, S., Reinecke, L., Mata, J., & Vorderer, P. (2018). Feeling interrupted-Being responsive: How online messages relate to affect at work. Journal of Organizational Behavior, 39(3), 369–383. https://doi.org/10.1002/job.2239
   Web of Science ®Google Scholar
• Spector, P. E. (2019). Do not cross me: Optimizing the use of cross-sectional designs. Journal of Business and Psychology, 34(2), 125–137. https://doi.org/10.1007/s10869-018-09613-8
   Web of Science ®Google Scholar
• Spira, J. B., & Feintuch, J. B. (2006). The cost of not paying attention: How interruptions impact knowledge worker productivity. Time Magazine.
   Google Scholar
• Steel, P. (2007). The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin, 133(1), 65–94. https://doi.org/10.1037/0033-2909.133.1.65
   PubMed Web of Science ®Google Scholar
• Ter Hoeven, C. L., van Zoonen, W., & Fonner, K. L. (2016). The practical paradox of technology: The influence of communication technology use on employee burnout and engagement. Communication Monographs, 83(2), 239–263. https://doi.org/10.1080/03637751.2015.1133920
   PubMed Web of Science ®Google Scholar
• Ugrin, J. C., & Pearson, J. M. (2013). The effects of sanctions and stigmas on cyberloafing. Computers in Human Behavior, 29(3), 812–820. https://doi.org/10.1016/j.chb.2012.11.005
   Web of Science ®Google Scholar
• Van Eerde, W. (2000). Procrastination: Self-regulation in initiating aversive goals. Applied Psychology, 49(3), 372–389. https://doi.org/10.1111/1464-0597.00021
   Web of Science ®Google Scholar
• Wang, B., Liu, Y., & Parker, S. K. (2020). How does the use of information communication technology affect individuals? A work design perspective. Academy of Management Annals, 14(2), 695–725. https://doi.org/10.5465/annals.2018.0127
   Web of Science ®Google Scholar
• Wang, B., Liu, Y., Qian, J., & Parker, S. K. (2021). Achieving effective remote working during the COVID-19 pandemic: A work design perspective. Applied Psychology, 70(1), 16–59. https://doi.org/10.1111/apps.12290
   PubMed Web of Science ®Google Scholar
• Zhang, X., Ma, L., Xu, B., & Xu, F. (2019). How social media usage affects employees’ job satisfaction and turnover intention: An empirical study in China. Information & Management, 56(6), 103136–103136. https://doi.org/10.1016/j.im.2018.12.004
   Web of Science ®Google Scholar