Bonus Competition in the Gig Economy

The success of a gig platform is crucially driven by its ability to compete for labor supply. However, gig workers are independent contractors whose working schedules are not fully controlled by the platform. To overcome this challenge, gig platforms have commonly relied on bonus strategies to drive the participation of gig workers. We study the impact of bonus strategies on gig platforms and their welfare implications. We consider two types of bonus strategies used by gig platforms: (1) fixed bonus that is paid in addition to commissions as long as a service provider participates and (2) contingent bonus that is paid only if a service provider participates consistently over time. We develop a game theory model to study platform competition with bonus strategies. Our analysis shows that the two types of bonuses will arise in equilibrium under different market conditions. First, when labor supply is thick, fixed bonus will be offered. In this case, fixed bonus improves platform profit by eliminating a prisoner’s dilemma that arises when the platforms compete only on commissions. However, social welfare will be reduced because the utilization of the labor supply is reduced due to the softened platform competition. Second, when labor supply is thin, contingent bonus will be offered. In this case, contingent bonus reduces platform profit because it intensifies platform competition and traps the platforms in a prisoner’s dilemma where they are forced to offer too much bonus. It further causes inefficiency in matching labor supply with demand and hence reduces social welfare.

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Publication Details

Journal
Production and Operations Management
Published
2025-10-09
DOI
https://doi.org/10.1177/10591478251389408
Citations
2
Primary Topic
Merger and Competition Analysis
Type
article
Field-Weighted Citation Impact
6.26
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article

Bonus Competition in the Gig Economy

Yao Cui, Jingchen Liu, Li Chen, Xiaoyan Liu
2 citations
Production and Operations Management
Merger and Competition Analysis
6.26
article

Bonus Competition in the Gig Economy

Yao Cui, Jingchen Liu, Li Chen, Xiaoyan Liu
article en
2 citations

Abstract

The success of a gig platform is crucially driven by its ability to compete for labor supply. However, gig workers are independent contractors whose working schedules are not fully controlled by the platform. To overcome this challenge, gig platforms have commonly relied on bonus strategies to drive the participation of gig workers. We study the impact of bonus strategies on gig platforms and their welfare implications. We consider two types of bonus strategies used by gig platforms: (1) fixed bonus that is paid in addition to commissions as long as a service provider participates and (2) contingent bonus that is paid only if a service provider participates consistently over time. We develop a game theory model to study platform competition with bonus strategies. Our analysis shows that the two types of bonuses will arise in equilibrium under different market conditions. First, when labor supply is thick, fixed bonus will be offered. In this case, fixed bonus improves platform profit by eliminating a prisoner’s dilemma that arises when the platforms compete only on commissions. However, social welfare will be reduced because the utilization of the labor supply is reduced due to the softened platform competition. Second, when labor supply is thin, contingent bonus will be offered. In this case, contingent bonus reduces platform profit because it intensifies platform competition and traps the platforms in a prisoner’s dilemma where they are forced to offer too much bonus. It further causes inefficiency in matching labor supply with demand and hence reduces social welfare.

Production and Operations Management
Santa Clara University (US), Cornell University (US), Renmin University of China (CN)
Openalex Percentile: Top 4%
Merger and Competition Analysis
6.26
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Bonus Competition in the Gig Economy — Yao Cui, Jingchen Liu, et al. · Production and Operations Management (2025) | TGRS Research Map | TGRS