Research on collaborative innovation cooperation strategies of manufacturing digital ecosystem from the perspective of multiple stakeholders

• Published in: Computers & industrial engineering 2024-04, Vol.190, p.110003, Article 110003
• Main Authors: Wang, Yanfang, Shi, Juan, Qu, Guohua
• Format: Article
• Language: English
• Subjects: Collaborative innovation; Differential game; Digital ecosystem; Digital servitization transformation; Incentive mechanism; Multiple stakeholders
• ISSN: 0360-8352; 1879-0550
• DOI: 10.1016/j.cie.2024.110003

•Improved indiscriminate incentive mechanisms based on the different interests of multiple stakeholders.•Three differential game models were constructed for digital ecosystem with different levels of cooperation intensity.•Analyzed the interactive impact of incentive behavior among multiple stakeholders on each other's strategies.•The Pareto optimality of the total system benefit can be achieved in the collaborative cooperative game. The digital ecosystem has hastened the fusion of manufacturing and digital technology in realizing product and service value. However, due to the coordination dilemmas within the digital ecosystem such as risk sharing, competition and cooperation among stakeholders, this study aims to explore the collaborative innovation cooperation strategies of multiple stakeholders, and to investigate the interaction effects of differential incentives on each other's strategies. By constructing a dynamic differential game model, this study solves the optimal innovation efforts, digital servitization levels and innovation benefits under different cooperation intensities, and analyzes the influence of various factors on the total innovation benefits of the digital ecosystem. It is found that under different decision-making modes, the influence of incentive subsidy coefficient and cost-sharing coefficient on the innovation efforts and innovation benefits of multiple stakeholders is different. Under the decentralized decision-making mode, the incentive mechanism positively promotes the innovation efforts of both parties of cooperative enterprises, while the local government is not affected, while under the centralized decision-making mode, the incentive mechanism positively affects the innovation efforts and innovation benefits of all three parties. Specifically, under the Stackelberg game, both the innovation efforts and innovation benefits achieve Pareto improvement, while under the cooperative game, the total system innovation benefits reach Pareto optimality and the optimal strategy is realized. In addition, an optimal range exists for the benefit distribution coefficient and the policy guidance coefficient. Furthermore, factors like the cooperative benefit impact coefficient, innovation capability coefficient, and policy guidance coefficient have a positive effect on the total system innovation benefits. Conversely, factors like the discount rate, technology decay coefficient, and innovation input coefficient inhibit the growth of the tota