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The Effect of the COVID-19 Pandemic on Turnover Intentions among Field Technicians: A Case Study in Philippines

Author

Listed:
  • Eric De Vera Reynoso

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines
    School of Graduate Studies, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines)

  • Yogi Tri Prasetyo

    (International Bachelor Program in Engineering, Yuan Ze University, 135 Yuan-Tung Rd., Taoyuan 32003, Taiwan
    Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan-Tung Rd., Taoyuan 32003, Taiwan)

  • Satria Fadil Persada

    (Entrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia)

  • Klint Allen Mariñas

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines)

  • Omar Paolo Benito

    (International Bachelor Program in Engineering, Yuan Ze University, 135 Yuan-Tung Rd., Taoyuan 32003, Taiwan)

  • Reny Nadlifatin

    (Department of Information System, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia)

  • Ma. Janice J. Gumasing

    (Department of Industrial and Systems Engineering, Gokongwei College of Engineering, De La Salle University, Manila 1004, Philippines)

  • Irene Dyah Ayuwati

    (Rectorate, University of Surabaya, Surabaya 60293, Indonesia)

Abstract

The COVID-19 pandemic has caused several disruptions, necessitating adaptation to the current circumstances. The concept of the “New Normal” has been introduced to facilitate coexistence with the virus. Nevertheless, numerous industries saw significant impacts, both in terms of financial losses and personnel attrition. This development has a significant impact on the agriculture industry, particularly on field technicians (FTs). The present study seeks to understand the factors that influence the inclination to leave one’s job among field technicians. A purposive sampling strategy was used to choose fifty-three participants who were then requested to complete a survey-type questionnaire on various factors including perceived supervisor support, workload, perceived alternative jobs, perceived benefits, COVID-19, and job satisfaction. A SmartPLS structural equation modeling (SEM) analysis indicated that job satisfaction did not operate as a mediator in the relationship between turnover intention and its determinants, such as workload, supervisor support, benefits, and employment alternatives. Furthermore, this study verified that the restrictions imposed during the COVID-19 epidemic did not influence the connection between job satisfaction and turnover intention. This study represents one of the initial investigations conducted on workers in the Philippine farm sector during the ongoing COVID-19 pandemic. Ultimately, the discoveries could be utilized to assess the distinct circumstances arising from the current global COVID-19 pandemic.

Suggested Citation

  • Eric De Vera Reynoso & Yogi Tri Prasetyo & Satria Fadil Persada & Klint Allen Mariñas & Omar Paolo Benito & Reny Nadlifatin & Ma. Janice J. Gumasing & Irene Dyah Ayuwati, 2024. "The Effect of the COVID-19 Pandemic on Turnover Intentions among Field Technicians: A Case Study in Philippines," Sustainability, MDPI, vol. 16(15), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6517-:d:1446216
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    References listed on IDEAS

    as
    1. Shaikh Moksadur Rahman, 2020. "Relationship between Job Satisfaction and Turnover Intention: Evidence from Bangladesh," Asian Business Review, Asian Business Consortium, vol. 10(2), pages 99-108.
    2. Hair, Joe F. & Howard, Matt C. & Nitzl, Christian, 2020. "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 101-110.
    3. Mandeep Saini & Thomas Roulet, 2022. "Understanding the relationship between remote-working employees’ well-being and job-effectiveness during the COVID-19 pandemic," Working Papers 202202, Cambridge Judge Business School, University of Cambridge.
    Full references (including those not matched with items on IDEAS)

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