Technostress and Remote Work: Understanding Underlying Factors of Role Ambiguity
DOI:
https://doi.org/10.4067/S0718-27242025000100027Keywords:
Remote work, Self-Efficacy, Covid-19, Resilience, TechnostressAbstract
Considering the possible impacts of technostress on individuals and organizations and the remote work regime imposed on education employees during the pandemic that intensified the use of technologies, the aim of this paper was to analyze underlying factors related to role ambiguity, their effects and forms of mitigation. The final sample is comprised of 691 complete responses. The data were collected electronically between August, 2021 and November, 2021. To test the study hypotheses, we adopted the Structural Equation Modeling. According to the main results, Computer Self-Efficacy can mitigate the effects of Role Ambiguity and, indirectly, Computer Self-Efficacy also has a negative effect on Cognitive Load. We also observed that Role Ambiguity presented a positive effect on Cognitive Load. The variable Resilience moderated the relationships: i) between Computer Self-Efficacy and Role Ambiguity; and ii) between Role Ambiguity and Cognitive Load.
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Aguiar-Quintana, T., Nguyen, H., Araujo-Cabrera, Y., & Sanabria-Díaz, J. M. (2021). Do job insecurity, anxiety and depression caused by the COVID-19 pandemic influence hotel employees' self-rated task performance? The moderating role of employee resilience. International Journal of Hospitality Management, 94, 102868. https://doi.org/10.1016/j.ijhm.2021.102868
Aktan, O., & Toraman, Ç. (2022). The relationship between Technostress levels and job satisfaction of Teachers within the COVID-19 period. Education and Information Technologies, 27(7), 10429-10453. https://doi.org/10.1007/s10639-022-11027-2
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. https://doi.org/10.1037/0033-2909.103.3.411
Anh, L. E. T., Whelan, E., & Umair, A. (2023). 'You're still on mute. A study of video conferencing fatigue during the COVID-19 pandemic from a technostress perspective. Behaviour & Information Technology, 42(11), 1758-1772. https://doi.org/10.1080/0144929X.2022.2095304
Arslan, H., Şahin, Y. L., Ferhan Odabaşı, H., & Okur, M. R. (2022). An investigation of change in teachers' technostress levels before and after the Covid-19 outbreak. Educational Media International, 59(2), 95-111. https://doi.org/10.1080/09523987.2022.2101202
Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological Antecedents and Implications. MIS Quarterly, 35(4), 831. https://doi.org/10.2307/41409963
Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8-34. https://doi.org/10.1007/s11747-011-0278-x
Bandura, A. (1978). Self-efficacy: Toward a unifying theory of behavioral change. Advances in Behaviour Research and Therapy, 1(4), 139-161. https://doi.org/10.1016/0146-6402(78)90002-4
Califf, C. B., & Brooks, S. (2020). An empirical study of technostressors, literacy facilitation, burnout, and turnover intention as experienced by K-12 teachers. Computers & Education, 157, 103971. https://doi.org/10.1016/j.compedu.2020.103971
Cappellozza, A., Ferreira, A. S., & Loyola, L. C. M. (2019). Relations between Technostress, Resilience and Work-Family Conflict. Latin American and Caribbean Journal of the Association for Information Systems, 11(2), 1-15.
Chou, H.-L., & Chou, C. (2021). A multigroup analysis of factors underlying teachers' technostress and their continuance intention toward online teaching. Computers & Education, 175, 104335. https://doi.org/10.1016/j.compedu.2021.104335
Delpechitre, D., Black, H. G., & Farrish, J. (2019). The dark side of technology: Examining the impact of technology overload on salespeople. Journal of Business & Industrial Marketing, 34(2), 317-337. https://doi.org/10.1108/JBIM-03-2017-0057
Dragano, N., & Lunau, T. (2020). Technostress at work and mental health: Concepts and research results. Current Opinion in Psychiatry, 33(4), 407-413. https://doi.org/10.1097/YCO.0000000000000613
Duran, R., Zavgorodniaia, A., & Sorva, J. (2022). Cognitive Load Theory in Computing Education Research: A Review. ACM Transactions on Computing Education, 22(4), 1-27. https://doi.org/10.1145/3483843
Durndell, A., Haag, Z., & Laithwaite, H. (2000). Computer self efficacy and gender: A cross cultural study of Scotland and Romania. Personality and Individual Differences, 28(6), 1037-1044. https://doi.org/10.1016/S0191-8869(99)00155-5
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd Edition). Sage publications.
Harunavamwe, M., & Ward, C. (2022). The influence of technostress, work-family conflict, and perceived organisational support on workplace flourishing amidst COVID-19. Frontiers in Psychology, 13, 921211. https://doi.org/10.3389/fpsyg.2022.921211
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0
Hurbean, L., Dospinescu, O., Munteanu, V., & Danaiata, D. (2022). Effects of Instant Messaging Related Technostress on Work Performance and Well-Being. Electronics, 11(16), 2535. https://doi.org/10.3390/electronics11162535
Hwang, Y. (2010). The moderating effects of gender on e-commerce systems adoption factors: An empirical investigation. Computers in Human Behavior, 26(6), 1753-1760. https://doi.org/10.1016/j.chb.2010.07.002
Karsten, R., Mitra, A., & Schmidt, D. (2012). Computer Self-Efficacy: A Meta-Analysis. Journal of Organizational and End User Computing, 24(4), 54-80. https://doi.org/10.4018/joeuc.2012100104
Keil, M., Tan, B. C. Y., Wei, K.-K., Saarinen, T., Tuunainen, V., & Wassenaar, A. (2000). A Cross-Cultural Study on Escalation of Commitment Behavior in Software Projects. MIS Quarterly, 24(2), 299. https://doi.org/10.2307/3250940
Lei, C. F., & Ngai, E. W. T. (2014). The double-edged nature of technostress on work performance: A research model and research agenda. Thirty Fifth International Conference on Information Systems, Auckland.
Li, L., & Wang, X. (2021). Technostress inhibitors and creators and their impacts on university teachers' work performance in higher education. Cognition, Technology & Work, 23(2), 315-330. https://doi.org/10.1007/s10111-020-00625-0
Lizana, P. A., Vega-Fernadez, G., Gomez-Bruton, A., Leyton, B., & Lera, L. (2021). Impact of the COVID-19 Pandemic on Teacher Quality of Life: A Longitudinal Study from before and during the Health Crisis. International Journal of Environmental Research and Public Health, 18(7), 3764. https://doi.org/10.3390/ijerph18073764
Luqman, A., Talwar, S., Masood, A., & Dhir, A. (2021). Does enterprise social media use promote employee creativity and well-being? Journal of Business Research, 131, 40-54. https://doi.org/10.1016/j.jbusres.2021.03.051
Luthar, S. S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child development, 71(3), 543-562. https://doi.org/10.1111/1467-8624.00164
Ma, Y., & Turel, O. (2019). Information technology use for work and technostress: Effects of power distance and masculinity culture dimensions. Cognition, Technology & Work, 21(1), 145-157. https://doi.org/10.1007/s10111-018-0503-1
Magotra, I., Sharma, J., & Sharma, S. K. (2016). Assessing personal disposition of individuals towards technology adoption. Future Business Journal, 2(1), 81-101. https://doi.org/10.1016/j.fbj.2016.05.003
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81-97. https://doi.org/10.1037/h0043158
Molino, M., Ingusci, E., Signore, F., Manuti, A., Giancaspro, M. L., Russo, V., Zito, M., & Cortese, C. G. (2020). Wellbeing Costs of Technology Use during Covid-19 Remote Working: An Investigation Using the Italian Translation of the Technostress Creators Scale. Sustainability, 12(15), 5911. https://doi.org/10.3390/su12155911
Oksanen, A., Oksa, R., Savela, N., Mantere, E., Savolainen, L., & Kaakinen, M. (2021). COVID-19 crisis and digital stressors at work: A longitudinal study on the Finnish working population. Computers in Human Behavior, 122, 106853. https://doi.org/10.1016/j.chb.2021.106853
Ortiz De Guinea, A., Titah, R., & Léger, P.-M. (2013). Measure for Measure: A two study multi-trait multi-method investigation of construct validity in IS research. Computers in Human Behavior, 29(3), 833-844. https://doi.org/10.1016/j.chb.2012.12.009
Pflügner, K., Maier, C., & Weitzel, T. (2021). The direct and indirect influence of mindfulness on techno-stressors and job burnout: A quantitative study of white-collar workers. Computers in Human Behavior, 115, 106566. https://doi.org/10.1016/j.chb.2020.106566
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
Procentese, F., Gatti, F., & Ceglie, E. (2023). Protective and risk social dimensions of emergency remote teaching during COVID-19 pandemic: A multiple mediation study. Journal of Community Psychology, 51(1), 67-83. https://doi.org/10.1002/jcop.22879
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The Consequences of Technostress 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
Reynolds, R., Aromi, J., McGowan, C., & Paris, B. (2022). Digital divide, critical-, and CRISIS-INFORMATICS perspectives on K-12 emergency remote teaching during the pandemic. Journal of the Association for Information Science and Technology, 73(12), 1665-1680. https://doi.org/10.1002/asi.24654
Riedl, R. (2022). On the stress potential of videoconferencing: Definition and root causes of Zoom fatigue. Electronic Markets, 32(1), 153-177. https://doi.org/10.1007/s12525-021-00501-
Rushton, C.H., Batcheller, J., Schroeder, K., Donohue, P. (2015). Burnout and resilience among nurses practicing in high-intensity settings. American Journal of Critical Care, 24 (5), 412-420. https://doi.org/10.4037/ajcc2015291
Sasidharan, S. (2022). Technostress in the workplace: A social network perspective. Information Technology People, 35(4), 1219-1238. https://doi.org/10.1108/ITP-09-2020-0649
Singh, P., Bala, H., Dey, B. L., & Filieri, R. (2022). Enforced remote working: The impact of digital platform-induced stress and remote working experience on technology exhaustion and subjective wellbeing. Journal of Business Research, 151, 269-286. https://doi.org/10.1016/j.jbusres.2022.07.002
Suh, A., & Lee, J. (2017). Understanding teleworkers' technostress and its influence on job satisfaction. Internet Research, 27(1), 140-159. https://doi.org/10.1108/IntR-06-20
Sweller, J., Van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive Architecture and Instructional Design. Educational Psychology Review, 10(3), 251-296. https://doi.org/10.1023/A:1022193728205
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., 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
Tuan, L. T. (2022). Employee mindfulness and proactive coping for technostress in the COVID-19 outbreak: The roles of regulatory foci, technostress, and job insecurity. Computers in Human Behavior, 129, 107148. https://doi.org/10.1016/j.chb.2021.107148
Wagnild, G. M., & Young, H. M. (1993). Development and Psychometric Evaluation of the Resilience Scale. Journal of Nursing Measurement, 1(2), 165-178.
Wang, H., Ding, H., & Kong, X. (2023). Understanding technostress and employee well-being in digital work: The roles of work exhaustion and workplace knowledge diversity. International Journal of Manpower, 44(2), 334-353. https://doi.org/10.1108/IJM-08-2021-0480
Yener, S., Arslan, A., & Kilinç, S. (2021). The moderating roles of technological self-efficacy and time management in the technostress and employee performance relationship through burnout. Information Technology People, 34(7), 1890-1919. https://doi.org/10.1108/ITP-09-2019-0462

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