Research on Knowledge Sharing Behavior in Hub-and-spoke Industrial Cluster Based on Evolutionary Game Theory

2010 ◽  
Author(s):  
Wang Lan
Keyword(s):  
Game Theory ◽  
Knowledge Sharing ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Industrial Cluster ◽  
Hub And Spoke ◽  
Knowledge Sharing Behavior ◽  
Sharing Behavior

scholarly journals Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

2019 ◽  
Vol 12 (1) ◽  
pp. 75 ◽  
Author(s):  
Xiaodan Kong ◽  
Qi Xu ◽  
Tao Zhu
Keyword(s):  
Game Theory ◽  
Knowledge Sharing ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Dynamic Evolution ◽  
Innovation Network ◽  
Evolutionary Trajectory ◽  
Knowledge Sharing Behavior ◽  
Sustainable Innovation ◽  
Sharing Behavior

Knowledge sharing behavior based on the cluster innovation network has become the primary measure for enterprises to realize sustainable innovation. In order to promote the proactive knowledge sharing behavior among enterprises in the long term, the dynamic evolutionary process and law of knowledge sharing in the network need to be further studied. As different from the hypothesis of the rational man in the classical game theory, this paper establishes an evolutionary game model of knowledge sharing behavior in the cluster innovation network based on the evolutionary game theory, and discusses how the bounded rational enterprises can achieve the evolutionary equilibrium through continuously adaptive learning and strategy optimization, further explores the influence factors on the evolutionary trajectory. Combined with mathematical derivation and simulation analysis, the following results are obtained: over time, the dynamic evolution of knowledge sharing behavior in the cluster innovation network is influenced by initial states of the system, but can always reach the evolutionary stable equilibrium; factors such as synergy revenue have a positive impact on the evolutionary results, while factors such as opportunity interest have a negative impact on the evolutionary results; the factor of revenue distribution has a U-shape relationship with the evolutionary results, and the factor of direct revenue has no effect on the results. The results are expected to have an implication for improving the sustainable innovation development of enterprises in the cluster innovation network.

scholarly journals Evolutionary Game Analysis on Knowledge-Sharing Behavior in the Construction Supply Chain

2019 ◽  
Vol 11 (19) ◽  
pp. 5319 ◽  
Author(s):  
Chanchan Hao ◽  
Qiang Du ◽  
Youdan Huang ◽  
Long Shao ◽  
Yunqing Yan
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Evolutionary Game ◽  
The Sustainable Development ◽  
Game Analysis ◽  
Knowledge Sharing Behavior ◽  
Evolution Path ◽  
Evolutionary Trajectories ◽  
New Perspective ◽  
Sharing Behavior

With the increasingly fierce global competition, supply chain members have to collaborate to respond to constant changes. Efficient knowledge sharing is the basis for the collaborative operation of the supply chain. Combined with evolutionary game theory, this paper studies the evolution path and stable strategies of knowledge-sharing behavior between construction supply chain enterprises, analyzing the factors that influence the establishment of a knowledge-sharing alliance. A numerical simulation is conducted to verify theoretical results and the effects of parameter adjustments on behavioral evolution. The results indicate that under different income relationships, knowledge-sharing behavior in construction supply chains presents different evolutionary trajectories. In addition, the probability of accepting the sharing strategy is positively correlated with the penalty coefficient, incentive coefficient, trust level, and synergy coefficient and negatively correlated with cost. This study provides a new perspective and theoretical guidance for establishing stable knowledge collaboration between enterprises and promoting the sustainable development of the construction supply chain.

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