Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

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Cooperative Stability Analysis of Industry Clusters Considering the Risk of Information Sharing Based on Evolutionary Game Theory

Authors
Xiangyuan Shu1, Ruian Mei1, *, Mengdi Sui1, Cheng Chen2
1School of Management, Northwestern Polytechnical University, Xi’an, China
2Beijing Jingdong Century Trading Co., Ltd., Beijing, China
*Corresponding author. Email: 602679687@qq.com
Corresponding Author
Ruian Mei
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_177How to use a DOI?
Keywords
Industrial clusters; Information sharing; Evolutionary game
Abstract

Information sharing has an important impact on the stability of cooperation in industrial clusters. Considering the risk of information sharing, this paper constructs an evolutionary game model for the synergy relationship between “ordinary enterprises and core enterprises”. The stability conditions of the two-party game model are determined by means of Jacobian matrix, and finally the evolutionary path of each player in the game model is verified by using MATLAB. The study shows that the loss of benefits and the cost of active information sharing are the decisive factors in the core enterprises’ decision on information sharing strategy, and the evolutionary strategy of ordinary enterprises is influenced by the core enterprises. When the strategy of the core enterprises evolves to “synergy cooperation”, the strategy of ordinary enterprises will also evolve to “synergy cooperation”. Based on this, while improving the stability of industrial cluster cooperation, information sharing platform should be established to prevent the risk of information sharing, and incentive and constraint mechanism should be established to reduce the cost of information sharing.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
978-94-6463-256-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_177How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiangyuan Shu
AU  - Ruian Mei
AU  - Mengdi Sui
AU  - Cheng Chen
PY  - 2023
DA  - 2023/10/09
TI  - Cooperative Stability Analysis of Industry Clusters Considering the Risk of Information Sharing Based on Evolutionary Game Theory
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 1735
EP  - 1748
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_177
DO  - 10.2991/978-94-6463-256-9_177
ID  - Shu2023
ER  -