Investigating gig workers’ commitment to crowdsourced logistics platforms: Fair employment and social exchange perspectives

Xue Li, Alexander Jun Hao Tan, Xueqin Wang, Kum Fai Yuen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Crowdsourced logistics is developing rapidly during and post COVID-19. As key workers of crowdsourced logistics, gig workers' commitment is essential for the sustainable development of gig platforms. Drawing from the social exchange paradigm and organisational identification, this study explores how the five principles of Fairwork provided by crowdsourced logistics platforms (i.e., fair representation, fair management, fair conditions, fair contracts, fair pay) contribute to gig workers' organisational identification, which subsequently influences career satisfaction and career commitment. The study gathered 177 responses from gig workers in Singapore in July 2022. The structural equation modelling findings suggest that factors such as fair conditions, fair pay, fair representation, fair management, and fair contracts have substantial impacts on organisational identification. Moreover, the link between organisational identification and career commitment is partially mediated by career satisfaction. Overall, this study enriches the literature by proposing a suitable theoretical model to explain gig workers' commitment to crowdsourced logistics platforms. Moreover, the empirical results provide implications on the understanding of gig workers’ concerns for gig platforms, as well as policy suggestions for the maintenance of gig workers in the future.

Original languageEnglish
Article number102311
JournalTechnology in Society
Volume74
DOIs
Publication statusPublished - Aug 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Elsevier Ltd

ASJC Scopus Subject Areas

  • Human Factors and Ergonomics
  • Business and International Management
  • Education
  • Sociology and Political Science

Keywords

  • Crowdsourced logistics
  • Fair employment
  • Gig worker
  • Social exchange theory
  • Work commitment

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