A Study of the Latent Profile Analysis of Platform Gig Worker Resilience from the Conservation of Resource Theory Perspective

CAO Xia, LI Wendi, Qu Jiaojiao

Chinese Journal of Management ›› 2026, Vol. 23 ›› Issue (5) : 845.

PDF(1301 KB)
PDF(1301 KB)
Chinese Journal of Management ›› 2026, Vol. 23 ›› Issue (5) : 845.

A Study of the Latent Profile Analysis of Platform Gig Worker Resilience from the Conservation of Resource Theory Perspective

  • CAO Xia,LI Wendi,Qu Jiaojiao
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Abstract

Drawing on conservation of resource theory and employing latent profile analysis, this study investigates resilience profiles and their relational patterns within gig work contexts. The results reveal three distinct resilience profiles among platform gig worker: defensive-compensatory (13%), balanced-adaptive (52%), and affectively-enriched (35%). Work meaningfulness and community interaction significantly predicted profile membership. In particular, community interaction most strongly predicted the affectively-enriched profile, whereas work meaningfulness most strongly predicted the balanced-adaptive profile. Both predictors showed the weakest association with the defensive-compensatory profile. Furthermore, the profiles diverged markedly in their implications for sustainable careers, where the balanced-adaptive profile was reported to be the highest levels of well-being, the affectively-enriched profile exhibited the highest service quality, and the defensive-compensatory profile scored lowest on both outcomes.

Key words

platform gig workers / career resilience / latent profile analysis / the conservation of resource theory / sustainable career

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CAO Xia, LI Wendi, Qu Jiaojiao. A Study of the Latent Profile Analysis of Platform Gig Worker Resilience from the Conservation of Resource Theory Perspective[J]. Chinese Journal of Management. 2026, 23(5): 845
PDF(1301 KB)

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