Understanding the Acceptance of Work-From-Home Solutions Adoption During COVID-19: A Case Study in Bangkok

Authors

  • Wachiranun Pum Nakhon Phanom University

Keywords:

Motivation, User Acceptance of Technology, Effectiveness, Working from Home

Abstract

The COVID-19 pandemic has significantly affected corporations, affecting their revenues and employees' health. Many companies are implementing remote work arrangements to prevent the spread of infection. This study aims to understand the acceptance of work-from-home solutions during the COVID-19 pandemic. The study examines personal factors, education level, and working period, and their relationship with the adoption of work-from-home solutions. The study also examines motivation factors, such as perceived utility and perceived ease of use, and their relationship with the effectiveness of working from home. Additionally, the findings reveal that more than 80% of employees expect their companies to embrace work-from-home initiatives to maintain a low rate of COVID-19. Furthermore, the study shows that employees prefer their employers to emphasize production more than hours worked and desire job stability.

The study also found that personal factors, such as age, education level, and working period, do not significantly affect the adoption of work-from-home solutions. However, the study found a significant relationship between motivation factors and the effectiveness of working from home. Additionally, the study demonstrates that the motivating factors of perceived utility and perceived ease of use have the greatest influence when planning and integrating technology across the curriculum to fit a future model that allows hybrid working. The study suggests that the COVID-19 pandemic has created a new work paradigm that allows people to work from home and reduces their chances of contracting a disease while driving. However, the study also identifies operational issues that may be present due to incorrect coordination or other variables.

In general, the study provides valuable information on accepting work-from-home solutions during the COVID-19 pandemic. The findings can help companies develop strategies to effectively implement work-from-home solutions and ensure employee productivity, job satisfaction, and work-life balance.

References

Birimoglu Okuyan, C., and Begen, M. A. (2022). Working from home during the COVID‐19 pandemic, its effects on health, and recommendations: The pandemic and beyond. Perspectives in Psychiatric Care, 58(1), 173-179.

Chen, L., Baird, A., and Straub, D. (2019). Why do participants continue to contribute? Evaluation of usefulness voting and commenting motivational affordances within an online knowledge community. Decision Support Systems, 118, 21-32.

Chiu, T. K. (2022). Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. Journal of Research on Technology in Education, 54(sup1), S14-S30.

Coccia, M. (2022). Preparedness of countries to face COVID-19 pandemic crisis: strategic positioning and factors supporting effective strategies of prevention of pandemic threats. Environmental Research, 203, 111678.

Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts Institute of Technology.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340.

Ferrer, J., Ringer, A., Saville, K., A Parris, M., and Kashi, K. (2020). Students’ motivation and engagement in higher education: The importance of attitude to online learning. Higher Education, 83, 1-22. https://doi.org/10.1007/s10734-020-00657-5

Grenny, J., and Maxfield, D. (2017). A study of 1,100 employees found that remote workers feel shunned and left out. Harvard Business Review, 2.

Karl, K. A., Peluchette, J. V., and Aghakhani, N. (2022). Virtual work meetings during the COVID-19 pandemic: The good, bad, and ugly. Small Group Research, 53(3), 343-365. https://doi.org/10.1177/10464964211015286

Messenger, J., Llave, O. V., Gschwind, L., Boehmer, S., Vermeylen, G., Wilkens, M., and Office, E. a. t. I. L. (2017). Working anytime, anywhere:The effects on the world of work. Joint ILO–Eurofound report.

Moslehpour, M., Chang, M. L., and Dadvari, A. (2022). Adopting the configurational approach to the analysis of job satisfaction in Mongolia. European Research on Management and Business Economics, 28(1), 100179. https://doi.org/10.1016/j.iedeen.2021.100179

Oubibi, M., Fute, A., Xiao, W., Sun, B., and Zhou, Y. (2022). Perceived organizational support and career satisfaction among Chinese teachers: the mediation effects of job crafting and work engagement during COVID-19. Sustainability, 14(2), 623. https://doi.org/10.3390/su14020623

Pfrombeck, J., Doden, W., Grote, G., and Feierabend, A. (2020). A study of organizational cynicism and how it is affected by social exchange relationships at work. Journal of Occupational and Organizational Psychology, 93(3), 578-604. https://doi.org/10.1111/joop.12306

Ramaditya, M., Liana, L. R., and Maronrong, R. (2020). Does Interpersonal Relations and Work Incentives Affect Work Motivation and Organizational Commitments?. Jurnal Analisis Bisnis Ekonomi, 18(2), 70-82. https://doi.org/10.31603/bisnisekonomi.v18i2.3741

Singh, A., and Dixit, S. (2021). A study on the motivation of Indian patients to consult complementary and alternative medicine practitioners to treat coronary artery disease. The International Journal of Health Planning and Management, 36(2), 423-441. https://doi.org/10.1002/hpm.3091

Smerek, R. E., and Peterson, M. (2007). Examining Herzberg’s theory: Improving job satisfaction among non-academic employees at a university. Research in higher education, 48, 229-250. https://doi.org/10.1007/s11162-006-9042-3

Sukma, N., and Leelasantitham, A. (2022a). Factors affecting adoption of online community water user participation. Human Behavior and Emerging Technologies, 2022, 1-13. https://doi.org/10.1155/2022/1732944

Sukma, N., and Leelasantitham, A. (2022b). Understanding online behavior towards community water user participation: A perspective of a developing country. Plos one, 17(7), e0270137. https://doi.org/10.1371/journal.pone.0270137

Taylor, F. W. (2004). Scientific management. Routledge.

The Adecco Group (2020). Resetting normal: defining the new era of work, Retrieved from https://www.adecco.ro/wp-content/uploads/2020/06/Reset-Normal-Global-Report .pdf.

Useem, J. (2017). When working from home doesn’t work. The Atlantic, 3. Retrieved from https://www.theatlantic.com/magazine/archive/2017/11/when-working-from-home-doesnt-work/540660/

Vévoda, J., and Cakirpaloglu, S. D. (2017). Gender differences in work values of physicians. In 4th international multidisciplinary scientific conference on social sciences and arts sgem 2017, pp.483-490.

Wall, T. D., Stephenson, G. M., and Skidmore, C. (1971). Ego‐Involvement and Herzberg's Two‐Factor Theory of Job Satisfaction: An Experimental Field Study. British Journal of Social and Clinical Psychology, 10(2), 123-131. https://doi.org/10.1111/j.2044-8260.1971.tb00724.x

Whitfield, K. M., Dresser, J. D., Magoffin, R., and Wilby, K. J. (2021). Maintaining and maximising motivation to progress scholarly work during challenges times–reflections from the pandemic. Currents in Pharmacy Teaching and Learning, 13(3), 193-197. https://doi.org/10.1016/j.cptl.2020.10.017

Wren, D. A. (2011). The Centennial of Frederick W. Taylor's The Principles of Scientific Management: A Retrospective Commentary. Journal of Business & Management, 17(1), 11-22.

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Published

2023-04-26

How to Cite

Pum, W. (2023). Understanding the Acceptance of Work-From-Home Solutions Adoption During COVID-19: A Case Study in Bangkok. Journal for Strategy and Enterprise Competitiveness, 2(4), 90–104. Retrieved from https://so07.tci-thaijo.org/index.php/STECOJournal/article/view/2521

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Section

Research Article