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Design, comparison and selection of two competition incentive mechanisms
Dahai Li1,2, Huan Wang3,4, Jingcheng Ye5
1School of Big Data and Statistics, Anhui University, Hefei, Anhui Province, China.
Principals use result-oriented and process-oriented competition to incentivize agents. Careful calibration of result-oriented competition and strategic agent pairing are key to maximizing principal benefits.
Area of Science:
- Economics
- Game Theory
- Organizational Behavior
Background:
- Principals often face moral hazard issues with multiple agents.
- Competitive mechanisms are employed to mitigate these issues.
- Mechanisms are categorized as result-oriented or process-oriented.
Purpose of the Study:
- Analyze optimal incentive contracts under different competitive modes.
- Investigate agent matching strategies to reduce conflicts.
- Determine the optimal application scope for each system.
Main Methods:
- Theoretical analysis of principal-agent models.
- Comparative analysis of result-oriented vs. process-oriented competition.
- Modeling agent ability matching scenarios.
Main Results:
- Both competitive modes effectively incentivize agent effort.
- Excessive result-oriented competition can harm principal benefits.
- Optimal agent pairing follows a 'strong-weak' > 'strong-strong' > 'weak-weak' hierarchy.
Conclusions:
- Competitive mechanisms are effective but require careful design.
- Agent pairing significantly impacts outcomes and conflict mitigation.
- Findings offer guidance for optimizing principal returns through competition.
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