Evolutionary Game Analysis of Labor Education and Training in Enterprises: Considering the Influence of Key Factors

Yang Li, Lin Fu and Luca Pancioni

Discrete Dynamics in Nature and Society, 2024, vol. 2024, 1-15

Abstract: Implementing effective human resource training and optimizing resource utilization efficiency poses a challenge that enterprises must address. This study aims to analyze the strategies employed by enterprises and employee groups in employee training. Drawing on concepts from evolutionary game theory, we investigate the cooperative evolutionary strategy embraced by both parties in employee training and evaluate various contributing factors. The findings reveal the following key insights. (1) Decision-making behavior of the enterprise and employee group is highly contingent upon their respective income growth rates. (2) The decisions made by the enterprise significantly influence the long-term strategic choices of both parties. (3) The equilibrium strategy adopted by both parties hinges on a trade-off analysis of cost, expense, and benefit. As these three factors progressively increase, the equilibrium strategy of both parties tends toward a (Random, Negative) approach. Conversely, the parties are more inclined toward a combination of (Stabilization, Positive) strategies when the benefits of skill dissemination augment. This study offers innovations by examining evolutionary trends in game dynamics between enterprises and employee groups during training and analyzing how various factors impact decision-making strategies on both sides.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:8892638

DOI: 10.1155/2024/8892638

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