Downloads

https://doi.org/10.62836/emi.v4i5.522
Li, Z., & Zhimin Ren. (2025). Research on AI-Empowered Value Co-creation and Governance Mechanisms in Regional Innovation Ecosystems. Economics & Management Information, 4(5), 1–13. https://doi.org/10.62836/emi.v4i5.522
Volume 4, Issue 5, October 2025
Copyright (c) 2025 Zhao Li, Zhimin Ren
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Research on AI-Empowered Value Co-creation and Governance Mechanisms in Regional Innovation Ecosystems

 With the deep penetration of artificial intelligence (AI) technology, regional innovation ecosystems are undergoing profound transformation. AI reshapes these ecosystems through four pathways-knowledge empowerment, optimized resource allocation, collaborative innovation promotion, and intelligent risk management-exhibiting four evolutionary characteristics: intelligence, platformization, openness, and adaptability. This forms a value co-creation cycle of “perception-matching-collaboration-evolution”. This study proposes a four-dimensional governance framework encompassing multi-stakeholder collaborative governance, data circulation mechanisms, intelligent regulatory systems, and dynamic incentive mechanisms. It provides theoretical guidance and practical pathways for governments to formulate regional innovation policies, enterprises to participate in ecosystem construction, and the deep integration of the digital and real economies. This research holds significant implications for enhancing regional innovation capabilities and building a modern industrial system.

artificial intelligence regional innovation ecosystem value co-creation governance mechanism

References

  1. Pereira V, Hadjielias E, Christofi M, et al. A Systematic Literature Review on the Impact of Artificial Intelligence on Workplace Outcomes: A Multi-Process Perspective. Human Resource Management Review 2023; 33(1): 100857.
  2. Lu Y. Artificial Intelligence: A Survey on Evolution, Models, Applications and Future Trends. Journal of Management Analytics 2019; 6(1): 1–29.
  3. Chat GPT Is a Black Box: How Al Research Can Break It Open. Nature 2023; 619(7971): 671–672.
  4. Brem A, Giones F, Werle M. The AI Digital Revolution in Innovation: A Conceptual Framework of Artificial Intelligence Technologies for the Management of Innovation. IEEE Transactions on Engineering Management 2021; 70(2): 770–776.
  5. Fan BN, Sheng ZC. Digital Risk Governance: Research Trajectory, Theoretical Framework, and Future Outlook. Management World 2024; 40(08): 208–239.
  6. Xue L, Jia K, Zhao J. Agile Governance Practices for Artificial Intelligence: Categorized Regulatory Approaches and Policy Toolkit Development. Chinese Journal of Public Administration 2024; 40(03): 99–110.
  7. He DA, Xu YF. An Economic Analysis of AI Application Expansion: The Impact of ChatGPT on Business Operations. Social Science Frontline 2023; (09): 76–87.
  8. Yang BX, Liu XL, Ji XH. Regional Innovation Ecosystems: Knowledge Foundations and Theoretical Frameworks. Science and Technology Progress and Countermeasures 2023; 40(13): 152–160.
  9. Wang WJ, Liu YW, Zhao ZX. Study on the Impact of Community Evolution on the Resilience of Regional Innovation Ecosystems. Science and Technology Management 2023; 44(11): 114–123.
  10. Yang W, Lao XY, Zhou Q, et al. Governance Niche Configuration of Regional Digital Innovation Ecosystem Resilience. Research on Science of Science 2022; 40(03): 534–544.
  11. Xue MX, Xiao JL. Evaluation and Prediction of Ecological Niche Suitability in Regional Innovation Ecosystems: An Empirical Study Based on Data from 30 Chinese Provinces and Municipalities (2009–2018). Journal of Science of Science 2021; 39(09): 1706–1719.
  12. Liu XL, Ji XH. Evaluation of Competitiveness in China’s Urban Innovation Ecosystems: An Analysis of 100 Chinese Cities. Science of Science and Technology Management 2024; 45(01): 91–109.
  13. Liu XL, Hu ZJ. Distribution and Determinants of Regional Innovation Capacity in China. Journal of Science of Science 2002; (05): 550–556.
  14. Yin XM, Su YX, Chen TL, et al. Scenario-Driven AI Innovation Ecosystem: Logic and Approaches. China Science and Technology Forum 2024; (06): 35–45.
  15. Jiang LD; Xue L; Liang Z. Dual Transformation of Industrial Innovation Ecosystems Empowered by Artificial Intelligence. Journal of Science of Science 2022; 40(04): 602–610.
  16. Wei J, Zhao YH. Governance Mechanisms of Digital Innovation Ecosystems. Journal of Science of Science 2021; 39(06): 965–969.
  17. Yu JX, Liu YX, Wu C. Transformation and Governance of Large-Scale Artificial Intelligence Models. Chinese Public Administration 2023; 39(04): 6–13.
  18. Jia K, Jiang YH. Three Fundamental Issues in AI Governance: Technological Logic, Risk Challenges, and Public Policy Choices. Chinese Public Administration 2017; (10): 40–45.

Supporting Agencies

  1. Funding: This study was supported by Education Department of Zhejiang Province: Research on Value Co-Creation Mechanism of “Internet ” Enterprise Innovation Ecosystem.(No. Y202147289).