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What if delivery riders quit? Challenges to last-mile logistics during the Covid-19 pandemic.
Nguyen, Minh Hieu; Pojani, Dorina; Nguyen-Phuoc, Duy Quy; Nguyen Thi, Binh.
Afiliação
  • Nguyen MH; Faculty of Transport - Economics, University of Transport and Communications, No. 3 Cau Giay Street, Dong Da District, Hanoi, Vietnam.
  • Pojani D; School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Australia.
  • Nguyen-Phuoc DQ; Faculty of Road and Bridge Engineering, The University of Danang - University of Science and Technology, 54 Nguyen Luong Bang Street, Lien Chieu District, Danang City, Viet Nam.
  • Nguyen Thi B; School of Economics and International Business, Foreign Trade University, Hanoi, Viet Nam.
Res Transp Bus Manag ; 47: 100941, 2023 Mar.
Article em En | MEDLINE | ID: mdl-38013801
ABSTRACT
Notoriously precarious, hazardous, and stressful, delivery jobs became even more onerous and dangerous during the pandemic. In this study, set in Ho Chi Minh City, Vietnam, we applied Structural Equation Modelling to a large sample of primary data to measure delivery riders' intention to quit their jobs at the height of the pandemic. We found that job burnout was the key trigger to the intention to quit whereas the risk of Covid-19 infection did not directly affect this behavioral intention. Female riders, migrants, persons living with chronic diseases, and those who had seen their income decimated during the pandemic were more likely to want to quit their job. But if a mass of delivery drivers or riders had failed to show up for work, the last-mile delivery sector would have become paralysed, leaving individuals in various states of lockdown or isolation without food and supplies. As the sector is poised to retain its importance in the post-pandemic period, we recommend a number of approaches for both private companies and public policy makers to persuade riders to stay in their jobs. First and foremost, strategies to prevent and mitigate job burnout should be formulated.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article