Technostress and Remote Work: Understanding Underlying Factors of Role Ambiguity

Authors

  • Fernanda Francielle de Oliveira Malaquias Federal University of Uberlândia
  • Rodrigo Fernandes Malaquias Fundação Getulio Vargas, Brazil. & Universidade Federal de Uberlândia, Brazil. http://orcid.org/0000-0002-7126-1051
  • Renato César de Souza Júnior Federal University of Uberlândia

DOI:

https://doi.org/10.4067/S0718-27242025000100027

Keywords:

Remote work, Self-Efficacy, Covid-19, Resilience, Technostress

Abstract

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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Author Biographies

Fernanda Francielle de Oliveira Malaquias, Federal University of Uberlândia

Fernanda Francielle de Oliveira Malaquias is Full Time Professor the Federal University of Uberlândia, Brazil. In 2015, she was a Visiting Research Scholar at DePaul University in Chicago, USA. In 2012, she received her PhD in Electrical Engineering from the Federal University of Uberlândia. She also holds a maters’ degree in Computer Science. She has published articles in referred journals including Information Technology & People, Computers in Human Behavior, Electronic Commerce Research and Applications, Information Technology for Development, Technology and Disability, Information Development, Online Information Review, Energy Research & Social Science, and Simulation Modelling Practice and Theory.

Rodrigo Fernandes Malaquias, Fundação Getulio Vargas, Brazil. & Universidade Federal de Uberlândia, Brazil.

Rodrigo Fernandes Malaquias: He is a Full Time Professor at Universidade Federal de Uberlândia (UFU), Brazil. In 2012, he received his PhD in Business Administration from FGV-EAESP, Brazil. In 2015, he was a Visiting Research Scholar at DePaul University in Chicago, USA, where he developed his first pos-doc research. Currently (2016/2017), he is developing his pos-doc research at FGV-EAESP. His papers have been published or accepted for publication by peer-reviewed journals, including Research in International Business and Finance, Computers in Human Behavior, Accounting & Finance Review (USP), Information Development, Information Technology for Development, Technology and Disability, Brazilian Review of Finance, Brazilian Business Review, Journal of Operations and Supply Chain Management, TOJDE, among others.

Renato César de Souza Júnior, Federal University of Uberlândia

Renato César de Souza Júnior holds a PhD in Business Administration from the Federal University of Uberlândia. He holds a bachelor degree in Economic Sciences from the Federal University of Uberlândia (2012) and a bachelor degree in Administration from the Escola Superior Aberta do Brasil (2021). He also holds a masters’ degree in Public Administration from the Federal University of Uberlândia (2018). His main areas of interest are Information and Communication Technologies allied to Management, People Management and Public Administration.

References

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

Technostress and Remote Work

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Published

2025-04-25

How to Cite

Malaquias, F. F. de O., Malaquias, R. F., & Souza Júnior, R. C. de. (2025). Technostress and Remote Work: Understanding Underlying Factors of Role Ambiguity. Journal of Technology Management & Innovation, 20(1), 27–37. https://doi.org/10.4067/S0718-27242025000100027

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Research Articles