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, Irene Dyah Ayuwati

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number6517
JournalSustainability (Switzerland)
Volume16
Issue number15
DOIs
Publication statusPublished - Aug 2024

Keywords

  • COVID-19 pandemic
  • agricultural industry
  • field technicians
  • structural equation modeling
  • turnover intention

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