Evolutionary Game Analysis of Industry-University-Research Cooperative Innovation in Digital Media Enterprise Cluster Based on GS Algorithm

Duan, Xuan Ming; Sun, Pengfei; Wang, Xu; Zhan, Bisheng

doi:10.1155/2022/5701917

Cited by 5 publications

(4 citation statements)

References 23 publications

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“…Evolutionary game theory is based on bounded rationality, in which individuals with limited information constantly adjust their strategies at the margin, according to their vested interests, to pursue improvement of their own interests [40]. With the development of evolutionary game theory, many scholars have used it to discuss collaborative innovation from the perspectives of the innovation ecosystem and the innovation alliance [41]. Some scholars have used evolutionary game theory to study collaborative innovation in the supply chain [42].…”

Section: Problem Description and Basic Hypothesismentioning

confidence: 99%

Evolutionary Game and Simulation of Collaborative Green Innovation in Supply Chain under Digital Enablement

Dong

et al. 2023

Sustainability

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The deep integration of digital technologies has given rise to the development of new industries and models in various sectors, as well as new opportunities and challenges. Whether digital transformation can drive collaborative green innovation in the supply chain has also become an important topic of great interest, which has not yet been resolved. In this paper, we study the impact of digital enablement on collaborative green innovation in supply chain enterprises in order to assist in reasonable strategic decision making. An evolutionary game model is constructed for both upstream and downstream supply chain companies under digital enablement, following which the model is solved and systematically simulated. Our main findings are as follows: The influencing factors of collaborative green innovation in the supply chain can be divided into driving factors, blocking factors, and regulating factors. After digital enablement, the effect of the drivers of collaborative green innovation is more obvious, the side-effects of the deterrents are weakened, and the threshold of the positive effect of the moderators is expanded. Overall, digital enablement helps to promote collaborative green innovation in the supply chain, and companies should apply digital technology to enable collaborative green innovation.

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Section: Problem Description and Basic Hypothesismentioning

confidence: 99%

Evolutionary Game and Simulation of Collaborative Green Innovation in Supply Chain under Digital Enablement

Dong

et al. 2023

Sustainability

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“…Some scholars have considered the governance role of scientific research institutions. Duan et al (2019) compared the advantages and disadvantages of independent and cooperative innovation in digital media enterprises and proposed that enterprises should cooperate with scientific research institutions. Su et al (2019) studied the tripartite collaborative innovation behavior of the government, enterprises and scientific research institutions, and proposed that the government should improve the incentive mechanism of industry, education and research.…”

Section: Multiagent Governance With Public Participationmentioning

confidence: 99%

Research on multiagent governance of the marine ecoeconomic system in China considering marine scientific research institutions and media

Le-hua

Yan

Cai

2023

Front. Environ. Sci.

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The multiagent governance model of the marine ecoeconomic system requires local governments to actively guide the participation of social subjects. Under the new reality of multiagent governance mechanism, this study proposes an analytical framework for describing the dynamic relation between local governments and marine production enterprises. It uses the analytical tools of evolutionary game theory to establish an evolutionary game system between the two parties and takes China as the specific research object. For doing so, it selects marine scientific research institutions and media with a strong public value representation and discusses the unilateral evolutionary stability strategy of the system by introducing four parameters, namely, the number of marine scientific research institutions, the contribution level of marine scientific research institutions, the participation level of media, and the authenticity level of information released by media. Furthermore, we used MATLAB to simulate and analyze by combining our research data in 14 cities in coastal areas of China. The results demonstrate that: 1) improving the contribution level and number of marine scientific research institutions is conducive to the collaborative governance of the marine ecoeconomic system; 2) the authenticity level of information released by media is positively correlated with the development of the multiagent governance model of the marine ecoeconomic system; and 3) differently biased objects with distorted media report information affect the trend of the governance effect of the marine ecoeconomic system. Thus, a timely improvement or reduction of the participation level of media is necessary.

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“…The cooperative game is similar to the prisoner’s dilemma. To increase the probability of the emergence of the Pareto-optimal Nash equilibrium, the same coordination game can be played repeatedly ( Duan et al, 2022 ). In contrast, the emergence of a Pareto-optimal Nash equilibrium can only be achieved by information communication in the game.…”

Section: Theory and Hypothesesmentioning

confidence: 99%

The relationship between the interactive behavior of industry–university–research subjects and the cooperative innovation performance: The mediating role of knowledge absorptive capacity

Meng

et al. 2023

Front. Psychol.

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IntroductionIndustry–university–research cooperation innovation, which is often characterized by resource complementarity and the sharing technology, has become one of the most preferred innovation cooperation methods for enterprises. However, various problems still occur in the process of industry–university–research cooperations, such as poor innovation performance and difficulty in sustaining cooperation. Existing studies mostly focus on the macroscopic perspectives of geographic location, cooperation scale, concentration, and diversification of industry–university–research cooperation subjects, and fail to explore the microscopic behavioral mechanisms.MethodsTherefore, this paper establishes the interactive behavior of industry–university–research subjects and defines its concepts and dimensions in an attempt to provide a mechanism for improving the cooperative innovation performance of industry–university–research from the micro-behavioral perspective. On the basis of theoretical analysis, this paper develops a model of the relationship between cooperative trust, cooperative communication, and cooperative innovation performance for interactive behavior, while exploring the mediating role of knowledge absorptive capacity. The model was validated by stepwise regression using data from 325 questionnaires.ResultsThe paper found that cooperative trust and cooperative communication in the cooperative interactive behavior of industry–university–research positively contribute to the improvement of cooperative innovation performance. Knowledge absorptive capacity plays a partially mediating role between the interactive behaviors and cooperative innovation performance. More specifically, knowledge absorptive capacity partially mediates cooperative communication in cooperative innovation performance and completely mediates cooperative trust in cooperative innovation performance. The results are largely consistent with the results of the heterogeneity analysis of the sample.DiscussionThis paper not only explains why the cooperative innovation performance of industry–university–research is poor from the perspective of interactive behavior, but also enriches the research perspective of industry–university–research and provides theoretical support for enterprises to optimize the relationship between industry, university, and research institutes.

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Evolutionary Game Analysis of Industry-University-Research Cooperative Innovation in Digital Media Enterprise Cluster Based on GS Algorithm

Cited by 5 publications

References 23 publications

Evolutionary Game and Simulation of Collaborative Green Innovation in Supply Chain under Digital Enablement

Evolutionary Game and Simulation of Collaborative Green Innovation in Supply Chain under Digital Enablement

Research on multiagent governance of the marine ecoeconomic system in China considering marine scientific research institutions and media

The relationship between the interactive behavior of industry–university–research subjects and the cooperative innovation performance: The mediating role of knowledge absorptive capacity

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