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研究生: Le Quy Ha My
Ha My-Le Quy
論文名稱: Winners and losers of Working-from-home trend – The impact of Perceived Person-Environment Fit towards the Continuance Intention to Working-from home after COVID-19
Winners and losers of Working-from-home trend – The impact of Perceived Person-Environment Fit towards the Continuance Intention to Working-from home after COVID-19
指導教授: 朱宇倩
Yu-Qian Zhu
口試委員: 魏小蘭
Hsiao-Lan Wei
盧希鵬
Hsi-Peng Lu
學位類別: 碩士
Master
系所名稱: 管理學院 - 管理學院MBA
School of Management International (MBA)
論文出版年: 2022
畢業學年度: 110
語文別: 英文
論文頁數: 71
外文關鍵詞: Working-from-home, WFH, Continuance Intention, Winners and losers
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  • The COVID – 19 outbreaks have been changing the world dramatically in many ways, including the way we work. As a result, the Working-from-home (WFH) trend explodes rapidly and gradually develops into a permanent solution. This study aims to evaluate the willingness to continue WFH in the long term by analyzing the relationship of perceived person and environment to the perceived person-environment fit. A research framework was developed based on the Person-Environment Fit theory with six combinations of Demands-Abilities and Needs-Supplies to examine the Perceived Person-Environment Fit, which eventually used to anticipate the willingness to continue WFH. The research was conducted mainly in Vietnam, with 305 employees’ answers were collected. A mixed-use of SPSS and SmartPLS was utilized to analyze the data by quantitative approach. The research indicated that when there is an excess in both persons’ and environments’ expectations, there will be an increase in Perceived P-E fit, with the Perceived Fit of Lack of information and Perceived Fit of Facilitating Conditions playing more important roles. The Perceived P-E fit then was proved to positively affect the Continuance Intention to WFH, Job Performance, Job Satisfaction, and Work-life balance. Lastly, positive moderating roles of IT Capability and System Quality were also addressed along with the negative moderating effect of Extraversion characteristic.

    TABLE OF CONTENTS CHAPTER 1. INTRODUCTION 3 1.1. Background 3 1.2. Research question 7 1.3. Research purpose 7 1.4. Research Scope 8 1.5. Thesis structure 8 CHAPTER 2. LITERATURE REVIEW 9 2.1. Working-from-home and its prior studies 9 2.2. Person-Environment Fit 13 2.3. Atomistic Approach 16 2.4. Molecular Approach 16 2.5. Molar Approach 17 CHAPTER 3. RESEARCH FRAMEWORK AND HYPOTHESES 19 3.1. Research framework 19 3.2. Hypotheses Formulation 21 3.2.1. Person-Environment Fit 21 3.2.2. Person-Environment Fit towards Job Performance, Job Satisfaction, and Work-life balance 25 3.2.3. Job Performance, Job Satisfaction, and Work-life balance toward Continuance Intention to WFH 27 3.2.4. Person-Environment Fit towards Continuance Intention to WFH and the mediating roles of Job Performance, Job Satisfaction, and Work-life balance 28 3.2.5. The moderating role of Extraversion 29 CHAPTER 4. RESEARCH METHODOLOGY 31 4.1. Research Design 31 4.2. Questionnaire and Instrument Development 31 4.3. Data analysis 36 4.3.1. Person-Environment Fit theory 36 4.3.2. PLS-SEM analysis 37 CHAPTER 5. DATA ANALYSIS AND RESULTS 38 5.1. Demographic information 38 5.2. Data conversion 39 5.3. Measurement model 40 5.3.1. Reliability and Validity 40 5.4. Hypothesis testing 47 5.4.1. Person-Environment Fit model 47 5.4.2. PLS-SEM model for Continuance Intention 51 5.4.3. Mediating effects 52 5.4.4. Coefficient of determination 53 5.4.5. Moderator Variable 54 5.4.6. Measurement of Control Variable 55 CHAPTER 6. DISCUSSION AND CONCLUSION 57 6.1. Discussion 57 6.2. Influence of Perceived Person and Perceived Environment to Person-Environment Fit. 59 6.3. Influence of the Perceived Person-Environment to the Continuance Intention to WFH, Job Performance, Job Satisfaction, and Work-life balance 63 6.4. The moderating roles of Extraversion 64 6.5. Theoretical implications 64 6.6. Managerial implications 65 6.7. Limitations and Future Research 67 References 69

    References
    Ahmad, N. N. (2020). Accounting Students' Internship Satisfaction on the Work from Home (WFH) Experience during Internship. Global Business & Management Research, 12(4).
    Bakker, A. B., & Demerouti, E. (2007). The job demands‐resources model: State of the art. Journal of managerial psychology.
    Bala, H., & Venkatesh, V. (2013). Changes in employees' job characteristics during an enterprise system implementation: A latent growth modeling perspective. MIS quarterly, 1113-1140.
    Balbontin, C., Hensher, D. A., Beck, M. J., Giesen, R., Basnak, P., Vallejo-Borda, J. A., & Venter, C. (2021). Impact of COVID-19 on the number of days working from home and commuting travel: A cross-cultural comparison between Australia, South America and South Africa. Journal of Transport Geography, 96, 103188.
    Barrick, M. R., & Parks-Leduc, L. (2019). Selection for fit. Annual review of organizational psychology and organizational behavior, 6, 171-193.
    Beck, M., & Hensher, D. (2020). Insights into the Impact of Covid-19 on Household Travel. Working, Activities And Shopping in Australia—The Early Days under Restrictions.[(accessed on 6 September 2020)].
    Beer, M. (1964). Organizational size and job satisfaction. Academy of management journal, 7(1), 34-44.
    Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 351-370.
    Bonacini, L., Gallo, G., & Scicchitano, S. (2020). All that glitters is not gold. Effects of working from home on income inequality at the time of COVID-19. Effects of Working from Home on Income Inequality at the Time of COVID-19 (May 8, 2020).
    Campbell, J. P., & Wiernik, B. M. (2015). The modeling and assessment of work performance. Annu. Rev. Organ. Psychol. Organ. Behav., 2(1), 47-74.
    Chi, O. H., Saldamli, A., & Gursoy, D. (2021). Impact of the COVID-19 pandemic on management-level hotel employees’ work behaviors: Moderating effects of working-from-home. International Journal of Hospitality Management, 98, 103020.
    Delanoeije, J., Verbruggen, M., & Germeys, L. (2019). Boundary role transitions: A day-to-day approach to explain the effects of home-based telework on work-to- home conflict and home-to-work conflict. Human Relations, 72(12), 1843-1868.
    Djeebet, H. (2020). What is the Impact of COVID-19 on the Global Hospitality Industry. Hospitality Net. Available online at: https://www. hospitalitynet. org/opinion/4098062. html (accessed December 15, 2020).

    Edwards, J. R. (1996). An examination of competing versions of the person- environment fit approach to stress. Academy of management journal, 39(2), 292- 339.
    Edwards, J. R., Cable, D. M., Williamson, I. O., Lambert, L. S., & Shipp, A. J. (2006). The phenomenology of fit: linking the person and environment to the subjective experience of person-environment fit. Journal of applied psychology, 91(4), 802.
    Edwards, J. R., Caplan, R. D., & Van Harrison, R. (1998). Person-environment fit theory. Theories of organizational stress, 28(1), 67-94.
    Franque, F. B., Oliveira, T., Tam, C., & de Oliveira Santini, F. (2020). A meta-analysis of the quantitative studies in continuance intention to use an information system. Internet Research.
    Galanti, T., Guidetti, G., Mazzei, E., Zappalà, S., & Toscano, F. (2021). Work from home during the COVID-19 outbreak: The impact on employees’ remote work productivity, engagement, and stress. Journal of occupational and environmental medicine, 63(7), e426.
    Ganster, D. C., & Fusilier, M. R. (1989). Control in the workplace. International review of industrial and organizational psychology, 4, 235-280.
    Ge, S., & Zhou, Y. (2020). Social Distancing, Labor Market Outcomes, and Job Characteristics in the COVID-19 Pandemic. Labor Market Outcomes, and Job Characteristics in the COVID-19 Pandemic (August 12, 2020).
    Grawitch, M. J., Barber, L. K., & Justice, L. (2010). Rethinking the work–life interface: It's not about balance, it's about resource allocation. Applied Psychology: Health and Well‐Being, 2(2), 127-159.
    Guan, Y., Deng, H., Fan, L., & Zhou, X. (2021). Theorizing person-environment fit in a changing career world: Interdisciplinary integration and future directions. Journal of Vocational Behavior, 126, 103557.
    Guest, D. (2002). Human resource management, corporate performance and employee wellbeing: Building the worker into HRM. The journal of industrial relations, 44(3), 335-358.
    Gurchiek, K. (2020). COVID-19 and deciding who continues working from home. SHRM. In.
    Gursoy, D., & Chi, C. G. (2021). Celebrating 30 years of excellence amid the COVID- 19 pandemic—An update on the effects of COVID-19 pandemic and COVID-19 vaccines on hospitality industry: overview of the current situation and a research agenda. In (Vol. 30, pp. 277-281): Taylor & Francis.
    Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.

    Harrington, S. J., & Santiago, J. (2006). Organizational culture and telecommuters' quality of work life and professional isolation. Communications of the IIMA, 6(3), 1.
    Henseler, J., Ringle, C. M., & Sarstedt, M. (2012). Using partial least squares path modeling in advertising research: basic concepts and recent issues. In Handbook of research on international advertising: Edward Elgar Publishing.
    Hirschfeld, R. R., & James Van Scotter, I. (2019). Vocational behavior from the dark side. Journal of Vocational Behavior, 110, 303-316.
    Hoffman, B. J., & Woehr, D. J. (2006). A quantitative review of the relationship between person–organization fit and behavioral outcomes. Journal of Vocational Behavior, 68(3), 389-399.
    Houghton, R., Lister, D., & Majumdar, A. (2021). Examining Cognitive Workload During Covid-19: A Qualitative Study. Paper presented at the International Symposium on Human Mental Workload: Models and Applications.
    Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic management journal, 20(2), 195-204.
    Ibarra, H., Gillard, J., & Chamorro-Premuzic, T. (2020). Why WFH isn’t necessarily good for women. Harvard Business Review, 7.
    June, S., & Mahmood, R. (2011). The relationship between person-job fit and job performance: A study among the employees of the service sector SMEs in Malaysia. International Journal of Business, humanities and technology, 1(2), 95-105.
    Juvet, T. M., Corbaz-Kurth, S., Roos, P., Benzakour, L., Cereghetti, S., Moullec, G., . . . Pralong, J. A. (2021). Adapting to the unexpected: Problematic work situations and resilience strategies in healthcare institutions during the COVID-19 pandemic’s first wave. Safety Science, 139, 105277.
    Khan, A. N. (2021). A Diary Study of Psychological Effects of Misinformation and COVID-19 Threat on Work Engagement of Working from Home Employees. Technological forecasting and social change, 120968.
    Kothari, C. R. (2004). Research methodology: Methods and techniques: New Age International.
    Kristof, A. L. (1996). Person‐organization fit: An integrative review of its conceptualizations, measurement, and implications. Personnel psychology, 49(1), 1-49.
    Kristof-Brown, A. L., & Billsberry, J. (2013). Fit for the future.
    Kristof‐Brown, A. L., Zimmerman, R. D., & Johnson, E. C. (2005). Consequences OF
    INDIVIDUALS'FIT at work: A meta‐analysis OF person–job, person– organization, person–group, and person–supervisor fit. Personnel psychology, 58(2), 281-342.

    Li, L., & Lin, T. T. (2019). Smartphones at work: a qualitative exploration of psychological antecedents and impacts of work-related smartphone dependency. International Journal of Qualitative Methods, 18, 1609406918822240.
    Lister, K. (2020). Work-at-home after Covid-19–our forecast. Global Workplace Analytics.
    Locker, D. (1996). Work stress, job satisfaction and emotional well‐being among Canadian dental assistants. Community dentistry and oral epidemiology, 24(2), 133-137.
    Ma, J., Ollier-Malaterre, A., & Lu, C.-q. (2021). The impact of techno-stressors on work–life balance: The moderation of job self-efficacy and the mediation of emotional exhaustion. Computers in Human Behavior, 122, 106811.
    Mahlamäki, T., Rintamäki, T., & Rajah, E. (2019). The role of personality and motivation on key account manager job performance. Industrial Marketing Management, 83, 174-184.
    Mansfield, E. R., & Helms, B. P. (1982). Detecting multicollinearity. The American Statistician, 36(3a), 158-160.
    Memon, A. H., & Rahman, I. A. (2014). SEM-PLS analysis of inhibiting factors of cost performance for large construction projects in Malaysia: perspective of clients and consultants. The Scientific World Journal, 2014.
    Molino, M., Ingusci, E., Signore, F., Manuti, A., Giancaspro, M. L., Russo, V., . . . 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.
    Morgan, S. J., & Symon, G. (2002). Computer-mediated communication and remote management: integration or isolation? Social Science Computer Review, 20(3), 302-311.
    Muchinsky, P. M., & Monahan, C. J. (1987). What is person-environment congruence? Supplementary versus complementary models of fit. Journal of Vocational Behavior, 31(3), 268-277.
    Ng, T. W., & Feldman, D. C. (2008). The relationship of age to ten dimensions of job performance. Journal of applied psychology, 93(2), 392.
    Orhan, M. A., Rijsman, J. B., & Van Dijk, G. M. (2016). Invisible, therefore isolated: Comparative effects of team virtuality with task virtuality on workplace isolation and work outcomes. Revista de Psicología del Trabajo y de las Organizaciones, 32(2), 109-122.
    Parker, K., Horowitz, J. M., & Minkin, R. (2020). How the coronavirus outbreak has— and hasn’t—changed the way Americans work. Pew Research Center.
    Parsons, F. (1909). Choosing a vocation: Brousson Press.
    Perret, P., Ayad, M., Dauvier, B., & Congard, A. (2019). Self-and parent-rated measures of personality are related to different dimensions of school adjustment. Learning and Individual Differences, 70, 182-189.
    Prodanova, J., & Kocarev, L. (2021). Is job performance conditioned by work-from- home demands and resources? Technology in Society, 66, 101672.
    Queiroz, M. M., & Wamba, S. F. (2019). Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA. International Journal of Information Management, 46, 70-82.
    Rice, R. W., McFarlin, D. B., Hunt, R. G., & Near, J. P. (1985). Organizational work and the perceived quality of life: Toward a conceptual model. Academy of Management review, 10(2), 296-310.
    Richter, A. (2020). Locked-down digital work. International Journal of Information Management, 55, 102157.
    Russell, H., O'Connell, P. J., & McGinnity, F. (2009). The impact of flexible working arrangements on work–life conflict and work pressure in Ireland. Gender, Work & Organization, 16(1), 73-97.
    Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair Jr, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of family business strategy, 5(1), 105-115.
    Sato, K., Sakata, R., Murayama, C., Yamaguchi, M., Matsuoka, Y., & Kondo, N. (2021). Working from home and lifestyle changes associated with risk of depression during the COVID-19 pandemic: an observational study of health app (CALO Mama) users. Sato K, Sakata R, Murayama C, Yamaguchi M, Matsuoka Y, Kondo N. Changes in work and life patterns associated with depressive symptoms during the COVID-19 pandemic: an observational study of health app (CALO mama) users. Occup Environ Med.
    Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi‐sample study. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 25(3), 293-315.
    Spector, P. E. (1997). Job satisfaction: Application, assessment, causes, and consequences (Vol. 3): Sage.
    Su, R., Murdock, C., & Rounds, J. (2015). Person-environment fit.
    Sykes, T. A. (2020). Enterprise System Implementation and Employee Job Outcomes:
    Understanding the Role of Formal and Informal Support Structures Using the
    Job Strain Model. MIS quarterly, 44(4).
    Tokar, D. M., Fischer, A. R., & Subich, L. M. (1998). Personality and vocational
    behavior: A selective review of the literature, 1993–1997. Journal of Vocational Behavior, 53(2), 115-153.
    Van Iddekinge, C. H., Roth, P. L., Putka, D. J., & Lanivich, S. E. (2011). Are you interested? A meta-analysis of relations between vocational interests and employee performance and turnover. Journal of applied psychology, 96(6), 1167.
    Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
    Venkatesh, V., Windeler, J. B., Bartol, K. M., & Williamson, I. O. (2017). Person- organization and person-job fit perceptions of new IT employees: Work outcomes and gender differences. MIS quarterly, 41(2), 525-558.
    Wiesenfeld, B. M., Raghuram, S., & Garud, R. (1999). Communication patterns as determinants of organizational identification in a virtual organization. Organization science, 10(6), 777-790.
    Xie, B., & Li, M. (2021). Coworker Guanxi and job performance: Based on the mediating effect of interpersonal trust. Technological forecasting and social change, 171, 120981.

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