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Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory

Author

Listed:
  • Marjan Shamsi

    (Department of Innovation, Leadership, and Marketing, University of Stavanger, 4021 Stavanger, Norway)

  • Tatiana Iakovleva

    (Department of Innovation, Leadership, and Marketing, University of Stavanger, 4021 Stavanger, Norway)

  • Espen Olsen

    (Department of Innovation, Leadership, and Marketing, University of Stavanger, 4021 Stavanger, Norway)

  • Richard P. Bagozzi

    (Ross School of Business, University of Michigan, Ann Arbor, MI 48109-1234, USA)

Abstract

Employees’ work-related well-being has become one of the most significant interests of researchers and organizations due to the COVID-19 pandemic. This study examines how job characteristics such as mental load and team support, and technology-related factors such as perceived ease of use, perceived usefulness, and technology acceptance, impact employees’ work engagement as a dimension of work well-being. Data were collected through a sample of 610 academic employees from three Norwegian universities after COVID-19 restrictions were implemented. The structural model estimation showed that mental load, perceived team support, and technology acceptance were significantly related to work engagement. It also showed that perceived usefulness, perceived ease of use, and mental load were significantly related to technology acceptance. Furthermore, the analysis showed that technology acceptance partially mediates the relationship between job characteristics and work engagement, and fully mediates the relationship between technology-related perceptions and work engagement. Building on the technology acceptance model (TAM) and job demands-resources (JD-R) theory, this study provides insights into the effects of job-related and technology-related factors on remote workers’ well-being. By doing so, we contribute to the existing literature by demonstrating how remote working with the use of newly implemented technologies can be related to employees’ well-being during a pandemic.

Suggested Citation

  • Marjan Shamsi & Tatiana Iakovleva & Espen Olsen & Richard P. Bagozzi, 2021. "Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:22:p:11888-:d:677831
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    1. Nicholas Bloom & James Liang & John Roberts & Zhichun Jenny Ying, 2015. "Does Working from Home Work? Evidence from a Chinese Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 165-218.
    2. Kristina Reineke, 2020. "The Influence of Digitization on the Emotional Exhaustion of Employees: The Moderating Role of Traditional Job Resources and Age," Working Papers Dissertations 62, Paderborn University, Faculty of Business Administration and Economics.
    3. Arnstein Aassve & Guido Alfani & Francesco Gandolfi & Marco Le Moglie, 2021. "Epidemics and trust: The case of the Spanish Flu," Health Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 840-857, April.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Yan (Mandy) Dang & Yulei (Gavin) Zhang & Susan A. Brown & Hsinchun Chen, 2020. "Examining the impacts of mental workload and task-technology fit on user acceptance of the social media search system," Information Systems Frontiers, Springer, vol. 22(3), pages 697-718, June.
    6. Mohammad Razif & Bobby Ardiansyah Miraja & Satria Fadil Persada & Reny Nadlifatin & Prawira Fajarindra Belgiawan & Anak Agung Ngurah Perwira Redi & Shu-Chiang Lin, 2020. "Investigating the role of environmental concern and the unified theory of acceptance and use of technology on working from home technologies adoption during COVID-19," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 795-808, September.
    7. Karlsson, Martin & Nilsson, Therese & Pichler, Stefan, 2014. "The impact of the 1918 Spanish flu epidemic on economic performance in Sweden," Journal of Health Economics, Elsevier, vol. 36(C), pages 1-19.
    8. Margherita Zito & Emanuela Ingusci & Claudio G. Cortese & Maria Luisa Giancaspro & Amelia Manuti & Monica Molino & Fulvio Signore & Vincenzo Russo, 2021. "Does the End Justify the Means? The Role of Organizational Communication among Work-from-Home Employees during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(8), pages 1-20, April.
    9. Monica Molino & Claudio G. Cortese & Chiara Ghislieri, 2020. "The Promotion of Technology Acceptance and Work Engagement in Industry 4.0: From Personal Resources to Information and Training," IJERPH, MDPI, vol. 17(7), pages 1-15, April.
    10. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    11. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    12. Sabrina Zeike & Kyung-Eun Choi & Lara Lindert & Holger Pfaff, 2019. "Managers’ Well-Being in the Digital Era: Is it Associated with Perceived Choice Overload and Pressure from Digitalization? An Exploratory Study," IJERPH, MDPI, vol. 16(10), pages 1-15, May.
    13. Alex Bryson & Erling Barth & Harald Dale-Olsen, 2013. "The Effects of Organizational Change on Worker Well-Being and the Moderating Role of Trade Unions," ILR Review, Cornell University, ILR School, vol. 66(4), pages 989-1011, July.
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