Research on Collaborative Governance of Cross-Domain Digital Innovation Ecosystems Based on Evolutionary Game Theory
The complexities inherent in resource management within cross-domain digital innovation ecosystems have significantly intensified, giving rise to heightened challenges in collaborative interactions among diverse stakeholders, thereby directly impacting systemic stability. Conventional governance fra...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/13/7/558 |
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| author | Zeyu Tian Hua Zou Shuo Yang Qiang Hou |
| author_facet | Zeyu Tian Hua Zou Shuo Yang Qiang Hou |
| author_sort | Zeyu Tian |
| collection | DOAJ |
| description | The complexities inherent in resource management within cross-domain digital innovation ecosystems have significantly intensified, giving rise to heightened challenges in collaborative interactions among diverse stakeholders, thereby directly impacting systemic stability. Conventional governance frameworks for innovation ecosystems are inadequate in effectively managing the uncertainties and risks inherent in these environments. To address the collaborative governance dilemma and enhance governance efficiency, this paper aims to construct an effective collaborative governance mechanism for a cross-domain digital innovation ecosystem and explore the optimal strategy choices of key governance stakeholders, including the government, digital platform enterprises, and other relevant parties. This research utilizes evolutionary game theory to construct a model comprising three governing entities: the government, digital platform enterprises, and stakeholders. It investigates the evolutionary dynamics of collaborative governance strategies among these entities and the factors that influence governance. Following this, a system dynamics methodology is employed for simulation analysis. The results reveal the following: (1) As the initial intentions of the governing entities evolve, governance decisions within the system tend to stabilize, characterized by a strategic combination of proactive regulation, active cooperative governance, and engaged participation. This equilibrium governance strategy significantly fosters the stable advancement of cross-domain digital innovation ecosystems. (2) The punitive measures enacted by the government and the internal incentive structures of the system positively influence the evolution of governance decisions towards collaborative governance. (3) The cost–benefit assessment of the primary governing entity, the digital platform enterprise, demonstrates a detrimental effect on the evolution of governance decisions towards collaborative governance. These findings are vital for refining the collaborative governance frameworks of cross-domain digital innovation ecosystems and for promoting the robust and stable progression of the system. |
| format | Article |
| id | doaj-art-7be3e049a9e64e95a262ef56a088e895 |
| institution | DOAJ |
| issn | 2079-8954 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj-art-7be3e049a9e64e95a262ef56a088e8952025-08-20T03:08:06ZengMDPI AGSystems2079-89542025-07-0113755810.3390/systems13070558Research on Collaborative Governance of Cross-Domain Digital Innovation Ecosystems Based on Evolutionary Game TheoryZeyu Tian0Hua Zou1Shuo Yang2Qiang Hou3School of Management, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Management, Shenyang University of Technology, Shenyang 110870, ChinaLimited Economic Research Institute, Stat Grid Liao Ning Electric Power Company, Shenyang 110870, ChinaSchool of Management, Shenyang University of Technology, Shenyang 110870, ChinaThe complexities inherent in resource management within cross-domain digital innovation ecosystems have significantly intensified, giving rise to heightened challenges in collaborative interactions among diverse stakeholders, thereby directly impacting systemic stability. Conventional governance frameworks for innovation ecosystems are inadequate in effectively managing the uncertainties and risks inherent in these environments. To address the collaborative governance dilemma and enhance governance efficiency, this paper aims to construct an effective collaborative governance mechanism for a cross-domain digital innovation ecosystem and explore the optimal strategy choices of key governance stakeholders, including the government, digital platform enterprises, and other relevant parties. This research utilizes evolutionary game theory to construct a model comprising three governing entities: the government, digital platform enterprises, and stakeholders. It investigates the evolutionary dynamics of collaborative governance strategies among these entities and the factors that influence governance. Following this, a system dynamics methodology is employed for simulation analysis. The results reveal the following: (1) As the initial intentions of the governing entities evolve, governance decisions within the system tend to stabilize, characterized by a strategic combination of proactive regulation, active cooperative governance, and engaged participation. This equilibrium governance strategy significantly fosters the stable advancement of cross-domain digital innovation ecosystems. (2) The punitive measures enacted by the government and the internal incentive structures of the system positively influence the evolution of governance decisions towards collaborative governance. (3) The cost–benefit assessment of the primary governing entity, the digital platform enterprise, demonstrates a detrimental effect on the evolution of governance decisions towards collaborative governance. These findings are vital for refining the collaborative governance frameworks of cross-domain digital innovation ecosystems and for promoting the robust and stable progression of the system.https://www.mdpi.com/2079-8954/13/7/558digital innovation ecosystemdigital innovationcollaborative governanceevolutionary game theorysystem dynamics |
| spellingShingle | Zeyu Tian Hua Zou Shuo Yang Qiang Hou Research on Collaborative Governance of Cross-Domain Digital Innovation Ecosystems Based on Evolutionary Game Theory Systems digital innovation ecosystem digital innovation collaborative governance evolutionary game theory system dynamics |
| title | Research on Collaborative Governance of Cross-Domain Digital Innovation Ecosystems Based on Evolutionary Game Theory |
| title_full | Research on Collaborative Governance of Cross-Domain Digital Innovation Ecosystems Based on Evolutionary Game Theory |
| title_fullStr | Research on Collaborative Governance of Cross-Domain Digital Innovation Ecosystems Based on Evolutionary Game Theory |
| title_full_unstemmed | Research on Collaborative Governance of Cross-Domain Digital Innovation Ecosystems Based on Evolutionary Game Theory |
| title_short | Research on Collaborative Governance of Cross-Domain Digital Innovation Ecosystems Based on Evolutionary Game Theory |
| title_sort | research on collaborative governance of cross domain digital innovation ecosystems based on evolutionary game theory |
| topic | digital innovation ecosystem digital innovation collaborative governance evolutionary game theory system dynamics |
| url | https://www.mdpi.com/2079-8954/13/7/558 |
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