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Predicting Job Burnout and Its Antecedents: Evidence from Financial Information Technology Firms

Author

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  • Stanley Y. B. Huang

    (Department (Master Program) of Financial Technology, School of Financial Technology, Ming Chuan University, Taipei 111013, Taiwan)

  • Yu-Ming Fei

    (Department of Marketing and Logistics Management, College of Business Management, Chihlee University of Technology, New Taipei City 220305, Taiwan)

  • Yue-Shi Lee

    (Department of Computer Science and Information Engineering, Ming Chuan University, Taoyuan 333321, Taiwan)

Abstract

Job burnout is a continuing concern for human resource management and mental health at work, as it affects employee productivity and well-being. The present study conceptualizes Kahn’s job engagement theory to predict job burnout through a latent growth model. To test the proposed model, data were collected by surveying 710 employees of R&D departments of financial information technology firms of Taiwan at multiple points in time over 6 months. Therein, this study found that as employees perceived more ethical leadership, corporate social responsibility, and self-efficacy at Time 1, they were more likely to show increases in job engagement development behavior over time. Further, increases in job engagement development behavior demonstrate their positive relationship with the decrease in job burnout development behavior over time. These findings highlight that the potential dynamic consequences of organizational behaviors can lead to employee career development and occupational mental health.

Suggested Citation

  • Stanley Y. B. Huang & Yu-Ming Fei & Yue-Shi Lee, 2021. "Predicting Job Burnout and Its Antecedents: Evidence from Financial Information Technology Firms," Sustainability, MDPI, vol. 13(9), pages 1-10, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4680-:d:541300
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    Cited by:

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    2. Stanley Y. B. Huang & Shih-Chin Lee & Yue-Shi Lee, 2021. "Constructing an Adoption Model of Proactive Environmental Strategy: A Novel Quantitative Method of the Multi-Level Growth Curve Model," Mathematics, MDPI, vol. 9(16), pages 1-9, August.
    3. Stanley Y. B. Huang & Kuei-Hsien Chen & Yue-Shi Lee, 2021. "How to Promote Medium-Sized Farms to Adopt Environmental Strategy to Achieve Sustainable Production during the COVID-19 Pandemic?," Agriculture, MDPI, vol. 11(11), pages 1-8, October.
    4. Ying Xu & Diao Jie & Hongyu Wu & Xiaolu Shi & Daniel Badulescu & Sher Akbar & Alina Badulescu, 2022. "Reducing Employee Turnover Intentions in Tourism and Hospitality Sector: The Mediating Effect of Quality of Work Life and Intrinsic Motivation," IJERPH, MDPI, vol. 19(18), pages 1-18, September.

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