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

Eric De Vera Reynoso, Yogi Tri Prasetyo (), Satria Fadil Persada, Klint Allen Mariñas, Omar Paolo Benito, Reny Nadlifatin, Ma. Janice J. Gumasing and Irene Dyah Ayuwati
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Eric De Vera Reynoso: School of Industrial Engineering and Engineering Management, 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
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

Sustainability, 2024, vol. 16, issue 15, 1-16

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.

Keywords: turnover intention; field technicians; COVID-19 pandemic; structural equation modeling; agricultural industry (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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