The Applicable Conditions of Incentive Contract for Knowledge Sharing in Industrial Construction Supply Chain Based on Evolutionary Game Theory
Autor: | Qiankun Wang, Chuxiong Shen, Wei Xu, Shi Qiao, Zeng Guo |
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Rok vydání: | 2020 |
Předmět: | |
Zdroj: | Journal of Physics: Conference Series. 1616:012049 |
ISSN: | 1742-6596 1742-6588 |
DOI: | 10.1088/1742-6596/1616/1/012049 |
Popis: | Knowledge sharing is fundamental for improving knowledge system of industrial construction, and incentive contract is considered important means to promote knowledge sharing. This study aims to analyze the applicable conditions of incentive contract for knowledge sharing and provide guidance for core enterprises to formulate incentive contracts to promote knowledge sharing between member enterprises. Based on evolutionary game theory, an incentive model of knowledge sharing is developed. By solving the model, it is shown that the preconditions for applying incentive contract in industrial construction supply chain are that output capacity of knowledge sharing is higher than the cost, and incentive coefficient is more than the ratio of costs to outputs; and if knowledge sharing is implemented in industrial construction supply chain, the conditions should be satisfied, which are that the output capacity of knowledge sharing is higher than the sum of cost and risk, and the incentive intensity is higher than the ratio of the sum of cost and risk to the output capacity. These conclusions help us to formulate reasonable incentive mechanism. |
Databáze: | OpenAIRE |
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