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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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    2. Olawunmi Eniola, 2023. "Work-From-Home Engagement during COVID-19: Implications for Human Resource Management," International Journal of Business and Management, Canadian Center of Science and Education, vol. 17(3), pages 134-134, February.
    3. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Ralph Andre C. Roque & Jan Gabriel I. Garbo & Kirstien Paola E. Robas & Satria Fadil Persada & Reny Nadlifatin, 2022. "Determining the Factors Affecting a Career Shifter’s Use of Software Testing Tools amidst the COVID-19 Crisis in the Philippines: TTF-TAM Approach," Sustainability, MDPI, vol. 14(17), pages 1-24, September.
    4. Sílvia Lopes & Rita Couto & Anabela Rodrigues & Ana Sabino & Íris M. Oliveira & Paulo C. Dias & Ângela Leite & Vânia Sofia Carvalho, 2024. "Beyond Work: The Role of “Family-Friendly” Practices in the Subjective Well-Being of Teleworkers and On-Site Workers in the COVID-19 Pandemic," IJERPH, MDPI, vol. 21(4), pages 1-19, April.
    5. Nurul Syawani Afieqa Abd Wahid & Faizah Mohd Fakhruddin, 2025. "Work From Home (WFH) Experience: A Case of M Telecommunications Company in Kuala Lumpur, Malaysia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(2), pages 161-178, February.
    6. Ngqabutho Moyo & Anita D. Bhappu & Moment Bhebhe & Farai Ncube, 2022. "Perceived Risk of COVID-19 and Employee Decision-Making: How Psychological Distress during the Pandemic Increases Negative Performance Outcomes among Healthcare Workers," IJERPH, MDPI, vol. 19(11), pages 1-16, June.

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