References
- Ale, K., Loh, Y. A.-C., & Chib, A. (2017). Contextualized-OLPC education project in rural India: Measuring learning impact and mediation of computer self-efficacy. Educational Technology Research and Development, 65(3), 769–794. https://doi.org/10.1007/s11423-017-9517-2
- Amoako-Gyampah, K. (2007). Perceived usefulness, user involvement and behavioral intention: An empirical study of ERP implementation. Computers in Human Behavior, 23(3), 1232–1248. https://doi.org/10.1016/j.chb.2004.12.002
- Anderson, S. E., & Williams, L. J. (1996). Interpersonal, job, and individual factors related to helping processes at work. Journal of Applied Psychology, 81(3), 282–296. https://doi.org/10.1037/0021-9010.81.3.282
- Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological Antecedents and Implications. MIS Quarterly, 35, 831–858. https://doi.org/10.2307/41409963
- Bachrach, D. G., Powell, B. C., Collins, B. J., & Richey, R. G. (2006). Effects of task interdependence on the relationship between helping behavior and group performance. Journal of Applied Psychology, 91(6), 1396–1405. https://doi.org/10.1037/0021-9010.91.6.1396
- Bandura, A. (1977). Social learning theory. Prentice Hall.
- Bandura, A. (1994). Self-Efficacy. In V. S. Ramachudran (Ed.), Encyclopedia of Human Behavior (Vol. 4, pp. 71-81). Academic Press.
- Barki, H., & Hartwick, J. (1994). Measuring User Participation, User Involvement, and User Attitude. MIS Quarterly, 18, 59–82. https://doi.org/10.2307/249610
- Barros, L., Castro, F. H., Da Silveira, A., & Bergmann, D. (2020). Endogeneity in panel data regressions: Methodological guidance for corporate finance researchers. Review of Business Management, 22(Special Issue), 437–461. https://doi.org/10.7819/rbgn.v22i0.4059
- Baumeister, R., & Leary, M. (1995). The Need to Belong: Desire for Interpersonal Attachments as a Fundamental Human Motivation. Psychological Bulletin, 117, 497–529. https://doi.org/10.1037/0033-2909.117.3.497
- Beaudry & Pinsonneault. (2010). The Other Side of Acceptance: Studying the Direct and Indirect Effects of Emotions on Information Technology Use. MIS Quarterly, 34(4), 689. https://doi.org/10.2307/25750701
- Beauducel, A., & Wittmann, W. W. (2005). Simulation Study on Fit Indexes in CFA Based on Data With Slightly Distorted Simple Structure. Structural Equation Modeling: A Multidisciplinary Journal, 12(1), 41–75. https://doi.org/10.1207/s15328007sem1201_3
- Berkowitz, L. (1972). Social Norms, Feelings, and Other Factors Affecting Helping and Altruism. In Advances in Experimental Social Psychology (Vol. 6, pp. 63–108). Elsevier. https://doi.org/10.1016/S0065-2601(08)60025-8
- Bolt, M. A., Killough, L. N., & Koh, H. C. (2001). Testing the Interaction Effects of Task Complexity in Computer Training Using the Social Cognitive Model. Decision Sciences, 32(1), 1–20. https://doi.org/10.1111/j.1540-5915.2001.tb00951.x
- Bong, M., & Skaalvik, E. M. (2003). Academic Self-Concept and Self-Efficacy: How Different Are They Really? Educational Psychology Review, 15(1), 1–40. https://doi.org/10.1023/A:1021302408382
- Borle, P., Reichel, K., Niebuhr, F., & Voelter-Mahlknecht, S. (2021). How Are Techno-Stressors Associated with Mental Health and Work Outcomes? A Systematic Review of Occupational Exposure to Information and Communication Technologies within the Technostress Model. International Journal of Environmental Research and Public Health, 18(16), Article 16. https://doi.org/10.3390/ijerph18168673
- Brewer, M. B. (1991). The social self: On being the same and different at the same time. Personality and Social Psychology Bulletin, 17, 475–482. https://doi.org/10.1177/0146167291175001
- Brunelle, E., & Fortin, J.-A. (2021). Distance Makes the Heart Grow Fonder: An Examination of Teleworkers’ and Office Workers’ Job Satisfaction Through the Lens of Self-Determination Theory. SAGE Open, 11(1), 215824402098551. https://doi.org/10.1177/2158244020985516
- Brynjolfsson, E., & McAfee, A. (2014). The Second Machin Age. W.W. Norton & Company, New York and London.
- Burke, C. S., Stagl, K. C., Klein, C., Goodwin, G. F., Salas, E., & Halpin, S. M. (2006). What type of leadership behaviors are functional in teams? A meta-analysis. The Leadership Quarterly, 17(3), 288–307. https://doi.org/10.1016/j.leaqua.2006.02.007
- Burke, R. J., Weir, T., & Duncan, G. (1976). Informal Helping Relationship in Work Organizations. Academy of Management Journal, 19(3), 370–377. https://doi.org/10.2307/255604
- Campion, M. A., Medsker, G. J., & Higgs, A. C. (1993). Relationship between work group characteristic and effectiveness: Implications for effective work groups. Personnel Psychology, 46(4), 823–847. https://doi.org/10.1111/j.1744-6570.1993.tb01571.x
- Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189. https://doi.org/10.2307/249688
- Doerr, K. H., Freed, T., Mitchell, T. R., Schriesheim, C. A., & Zhou, X. (Tracy). (2004). Work Flow Policy and Within-Worker and Between-Workers Variability in Performance. Journal of Applied Psychology, 89(5), 911–921. https://doi.org/10.1037/0021-9010.89.5.911
- Dunlap, J. C. (2008). Changes in Students’ Use of Lifelong Learning Skills During a Problem-based Learning Project. Performance Improvement Quarterly, 18(1), 5–33. https://doi.org/10.1111/j.1937-8327.2005.tb00324.x
- Eastin, M. S., & LaRose, R. (2006). Internet Self-Efficacy and the Psychology of the Digital Divide. Journal of Computer-Mediated Communication, 6(1), 0–0. https://doi.org/10.1111/j.1083-6101.2000.tb00110.x
- Ellington, J. K., Dierdorff, E. C., & Rubin, R. S. (2014). Decelerating the diminishing returns of citizenship on task performance: The role of social context and interpersonal skill. Journal of Applied Psychology, 99(4), 748–758. https://doi.org/10.1037/a0036102
- Ferris, G. R., Liden, R. C., Munyon, T. P., Summers, J. K., Basik, K. J., & Buckley, M. R. (2009). Relationships at Work: Toward a Multidimensional Conceptualization of Dyadic Work Relationships. Journal of Management, 35(6), 1379–1403. https://doi.org/10.1177/0149206309344741
- Folkman, S., Lazarus, R., Schetter, C., DeLongis, A., & Gruen, R. (1986). Dynamics of a Stressful Encounter: Cognitive Appraisal, Coping, and Encounter Outcomes. Journal of Personality and Social Psychology, 50, 992–1003. https://doi.org/10.1037/0022-3514.50.5.992
- Fritz, C., Lam, C. F., & Spreitzer, G. M. (2011). It’s the Little Things That Matter: An Examination of Knowledge Workers’ Energy Management. Academy of Management Perspectives, 25(3), 28–39. https://doi.org/10.5465/AMP.2011.63886528
- Fuller, C. M., Simmering, M. J., Atinc, G., Atinc, Y., & Babin, B. J. (2016). Common methods variance detection in business research. Journal of Business Research, 69(8), 3192–3198. https://doi.org/10.1016/j.jbusres.2015.12.008
- Ganesh, M. P., & Gupta, M. (2010). Impact of virtualness and task interdependence on extra-role performance in software development teams. Team Performance Management: An International Journal, 16(3/4), 169–186. https://doi.org/10.1108/13527591011053250
- Haines, V. Y., & Taggar, S. (2006). Antecedents of team reward attitude. Group Dynamics: Theory, Research, and Practice, 10(3), 194–205. https://doi.org/10.1037/1089-2699.10.3.194
- Hair, J. F. (Ed.). (2014). Multivariate data analysis (7. ed., Pearson new internat. ed). Pearson.
- Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (Third edition). SAGE.
- Hargittai, E., & Hsieh, Y. P. (2013). Digital Inequality. In Oxford Handbook of Internet Studies. Edited by William H. Dutton. Oxford University Press. 129-150.
- Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (Third edition). The Guilford Press.
- Hirsh, J. B., Mar, R. A., & Peterson, J. B. (2012). Psychological entropy: A framework for understanding uncertainty-related anxiety. Psychological Review, 119(2), 304–320. https://doi.org/10.1037/a0026767
- Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
- Hwang, I., Kim, S., & Rebman, C. (2021). Impact of regulatory focus on security technostress and organizational outcomes: The moderating effect of security technostress inhibitors. Information Technology & People, 35(7), 2043–2074. https://doi.org/10.1108/ITP-05-2019-0239
- Jonušauskas, S., & Raisiene, A. G. (2016). Exploring Technostress: Results of a Large Sample Factor Analysis. Journal of Information and Organizational Sciences, 40(1), Article 1. https://doi.org/10.31341/jios.40.1.4
- La Torre, G., Esposito, A., Sciarra, I., & Chiappetta, M. (2019). Definition, symptoms and risk of techno-stress: A systematic review. International Archives of Occupational and Environmental Health, 92(1), 13–35. https://doi.org/10.1007/s00420-018-1352-1
- Lazarus, R., & Folkman, S. (1987). Transactional theory and research on emotions and coping. https://journals.sagepub.com/doi/10.1002/per.2410010304
- Lazarus, R. S. (1966). Psychological Stress and the Coping Process. McGraw-Hill.
- Lee, C., Lin, Y., Huang, H.-C., Huang, W., & Teng, H. (2015). The Effects of Task Interdependence, Team Cooperation, and Team Conflict on Job Performance. Social Behavior and Personality: An International Journal, 43(4), 529–536. https://doi.org/10.2224/sbp.2015.43.4.529
- Liaw, S.-S., Chang, W.-C., Hung, W.-H., & Huang, H.-M. (2006). Attitudes toward search engines as a learning assisted tool: Approach of Liaw and Huang’s research model. Computers in Human Behavior, 22(2), 177–190. https://doi.org/10.1016/j.chb.2004.09.003
- Maier, C., Laumer, S., & Eckhardt, A. (2015). Information technology as daily stressor: Pinning down the causes of burnout. Journal of Business Economics, 85(4), 349–387. https://doi.org/10.1007/s11573-014-0759-8
- Mangia, K. (2022, April 8). The Great Resignation & The Future Of Work: Deloitte’s Steve Hatfield On How Employers and…. Authority Magazine. https://medium.com/authority-magazine/the-great-resignation-the-future-of-work-deloittes-steve-hatfield-on-how-employers-andfe28fb56f34b
- Marsh, I. C., Chan, S. W. Y., & MacBeth, A. (2018). Self-compassion and Psychological Distress in Adolescents—A Meta-analysis. Mindfulness, 9(4), 1011–1027. https://doi.org/10.1007/s12671-017-0850-7
- Nastjuk, I., Trang, S., Grummeck-Braamt, J.-V., Adam, M. T. P., & Tarafdar, M. (2023). Integrating and Synthesising Technostress Research: A Meta-Analysis on Technostress Creators, Outcomes, and IS Usage Contexts. European Journal of Information Systems, 1–22. https://doi.org/10.1080/0960085X.2022.2154712
- Nunnally, J. C. (1978). Psychometric theory. 2nd Edition, McGraw-Hill, New York.
- Ozer, M., Chang, C. (Daisy), & Schaubroeck, J. M. (2014). Contextual moderators of the relationship between organizational citizenship behaviours and challenge and hindrance stress. Journal of Occupational and Organizational Psychology, 87(3), 557–578. https://doi.org/10.1111/joop.12063
- Palan, S., & Schitter, C. (2018). Prolific.ac—A subject pool for online experiments. Journal of Behavioral and Experimental Finance, 17, 22–27. https://doi.org/10.1016/j.jbef.2017.12.004
- Pearce, J. L., & Gregersen, H. B. (1991). Task interdependence and extrarole behavior: A test of the mediating effects of felt responsibility. Journal of Applied Psychology, 76(6), 838–844. https://doi.org/10.1037/0021-9010.76.6.838
- Peer, E., Rothschild, D., Gordon, A., Evernden, Z., & Damer, E. (2021). Data quality of platforms and panels for online behavioral research. Behavior Research Methods, 54(4), 1643–1662. https://doi.org/10.3758/s13428-021-01694-3
- Peiffer, H., Ellwart, T., & Preckel, F. (2020). Ability self-concept and self-efficacy in higher education: An empirical differentiation based on their factorial structure. PLOS ONE, 15(7), e0234604. https://doi.org/10.1371/journal.pone.0234604
- Pirkkalainen, H., Salo, M., Tarafdar, M., & Makkonen, M. (2019). Deliberate or Instinctive? Proactive and Reactive Coping for Technostress. Journal of Management Information Systems, 36(4), 1179–1212. https://doi.org/10.1080/07421222.2019.1661092
- Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The Consequences of Techno-stress for End Users in Organizations: Conceptual Development and Empirical Validation. Information Systems Research, 19(4), 417–433. https://doi.org/10.1287/isre.1070.0165
- Ryan, R. M., & Deci, E. L. (Eds.). (2017). Self-Determination Theory: Basic Psychological Needs in Motivation, Development, and Wellness. Guilford Press. https://doi.org/10.1521/978.14625/28806
- Sapolsky, R. M. (2015). Stress and the brain: Individual variability and the inverted-U. Nature Neuro-science, 18(10), 1344–1346. https://doi.org/10.1038/nn.4109
- Shalley, C. E., & Gilson, L. L. (2004). What leaders need to know: A review of social and contextual factors that can foster or hinder creativity. The Leadership Quarterly, 15(1), 33–53. https://doi.org/10.1016/j.leaqua.2003.12.004
- Shu, Q., Tu, Q., & Wang, K. (2011). The Impact of Computer Self-Efficacy and Technology Dependence on Computer-Related Technostress: A Social Cognitive Theory Perspective. International Journal of Human-Computer Interaction, 27(10), 923–939. https://doi.org/10.1080/10447318.2011.555313
- Spreitzer, G., Sutcliffe, K., Dutton, J., Sonenshein, S., & Grant, A. M. (2005). A Socially Embedded Model of Thriving at Work. Organization Science, 16(5), 537–549. https://doi.org/10.1287/orsc.1050.0153
- Stanton, K., Carpenter, R. W., Nance, M., Sturgeon, T., & Villalongo Andino, M. (2022). A multisample demonstration of using the prolific platform for repeated assessment and psychometric substance use research. Experimental and Clinical Psychopharmacology, 30(4), 432–443. https://doi.org/10.1037/pha0000545
- Tarafdar, M., Cooper, C. L., & Stich, J. (2019). The technostress trifecta - techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6–42. https://doi.org/10.1111/isj.12169
- Tarafdar, M., Pullins, E. Bolman., & Ragu-Nathan, T. S. (2015). Technostress: Negative effect on performance and possible mitigations. Information Systems Journal, 25(2), 103–132. https://doi.org/10.1111/isj.12042
- Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The Impact of Technostress on Role Stress and Productivity. Journal of Management Information Systems, 24(1), 301–328. https://doi.org/10.2753/MIS0742-1222240109
- Ulfert-Blank, A.-S., & Schmidt, I. (2022). Assessing digital self-efficacy: Review and scale development. Computers & Education, 191, 104626. https://doi.org/10.1016/j.compedu.2022.104626
- Umair, A., Conboy, K., & Whelan, E. (2023). Examining technostress and its impact on worker well-being in the digital gig economy. Internet Research, 33(7), 206–242. https://doi.org/10.1108/INTR-03-2022-0214
- Van Der Vegt, G. S., & Janssen, O. (2003). Joint Impact of Interdependence and Group Diversity on Innovation. Journal of Management, 29(5), 729–751. https://doi.org/10.1016/S0149-2063_03_00033-3
- Wageman, R. (1995). Interdependence and Group Effectiveness. Administrative Science Quarterly, 40(1), 145. https://doi.org/10.2307/2393703
- Wang, X., Tan, S. C., & Li, L. (2020). Measuring university students’ technostress in technology-enhanced learning: Scale development and validation. Australasian Journal of Educational Technology, 96–112. https://doi.org/10.14742/ajet.5329
- Warschauer, M. (2003). Technology and Social Inclusion: Rethinking the Digital Divide. The MIT Press. https://doi.org/10.7551/mitpress/6699.001.0001
- Wax, A., Deutsch, C., Lindner, C., Lindner, S. J., & Hopmeyer, A. (2022). Workplace Loneliness: The Benefits and Detriments of Working From Home. Frontiers in Public Health, 10, 903975. https://doi.org/10.3389/fpubh.2022.903975
- Wei, X., Huang, J., Zhang, L., Pan, D., & Pan, J. (2022). Evaluation and Comparison of SEM, ESEM, and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings. Structural Equation Modeling: A Multidisciplinary Journal, 29(3), 327–338. https://doi.org/10.1080/10705511.2021.2006664