IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i22p11888-d677831.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/22/11888/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/22/11888/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuxuan Xu & Hongbin Liu & Jie Lyu & Ying Xue, 2022. "What Influences Farmers’ Adoption of Soil Testing and Formulated Fertilization Technology in Black Soil Areas? An Empirical Analysis Based on Logistic-ISM Model," IJERPH, MDPI, vol. 19(23), pages 1-24, November.
    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. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    2. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    3. Javad Shahreki & Jaya Ganesan & Kavitha Raman & Audrey Lim Li Chin & Tee Suan Chin, 2019. "The effect of human resource information system application on employee satisfaction and turnover intention," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(2), pages 1462-1479, December.
    4. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    5. Francisco Rejón-Guardia & Juán Sánchez-Fernández & Francisco Muñoz-Leiva, 2011. "Motivational Factors that influence the Acceptance of Microblogging Social Networks: The µBAM Model," FEG Working Paper Series 06/11, Faculty of Economics and Business (University of Granada).
    6. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    7. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    8. Ángel Valarezo & Rafael López & Teodosio Pérez-Amaral, 2019. "Adoption of e-commerce by individuals and digital divide: Evidence from Spain," Documentos de Trabajo del ICAE 2019-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    9. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    10. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    11. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    12. Yang, Byunghwa & Kim, Youngchan & Yoo, Changjo, 2013. "The integrated mobile advertising model: The effects of technology- and emotion-based evaluations," Journal of Business Research, Elsevier, vol. 66(9), pages 1345-1352.
    13. Perry, Anna, 2016. "Consumers' acceptance of smart virtual closets," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 171-177.
    14. Vuong Duc Hoang Quan & Trinh Hoang Nam, 2017. "Developing credit card market from Vietnamese consumers’ perspective," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 7(1), pages 61-74.
    15. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    16. Juan F. Tavera Mesías & Juan C. Sánchez Giraldo & Bernardo Ballesteros Díaz, 2011. "Aceptación del E-Commerce en Colombia: un estudio para la ciudad de Medellín," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, December.
    17. Alami Mohamed, 2023. "The relationship between perception of IT and performance management in Moroccan companies: a qualitative study [La relation entre la perception des technologies d'information et le pilotage de la ," Post-Print hal-04224226, HAL.
    18. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    19. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.
    20. Nasser Hamidi & Tahmineh Torabi Rad & Alireza Jahany, 2012. "Evaluation Of Factors Influencing Tendency Towards E- Banking In Bank Customers," Far East Journal of Marketing and Management, Far East Research Centre, vol. 2(3), pages 25-42, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:22:p:11888-:d:677831. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.