Research on Government Incentive and Enterprise Data Resource Sharing Strategies in Digital Innovation Ecosystems

Abstract

Enterprise data resource sharing is an effective means to promote enterprise collaboration, help the government make scientific and effective decisions, and facilitate the development of the digital innovation ecosystem. In order to accurately analyze the enterprise data resource sharing strategies of digital platform enterprises, cooperative enterprises, and the government and the impact of government incentives on sharing, taking the digital innovation ecosystem as the background, three decision-making models of Nash non-cooperation, Stackelberg, and collaborative cooperation are constructed by using the differential game method. Their equilibrium results are obtained, analyzed comparatively, and simulated numerically. The conclusions are as follows: 1) Under the three strategy options, the data resource sharing effort level is positively correlated with the data resource sharing capability coefficient, the influence coefficient of effort level on the digital innovation ecosystem, the digital technology level coefficient of digital platform enterprises, and negatively correlated with the cost coefficient of data resource sharing and the elimination rate of shared data resources. 2) Government incentives for data resource sharing can raise the data resource sharing effort level by digital platform enterprises and cooperative enterprises and enhance the optimal benefits for all three parties and the system. 3) In the collaborative game, the optimal benefits of the three parties and the system are maximized, and a reasonable benefit distribution coefficient is determined to achieve Pareto optimality. Finally, some suggestions and strategies are provided to promote enterprise data resource sharing and government incentives.

Keywords

• Data resource sharing
• differential game
• digital innovation ecosystem
• digital platform enterprise
• government incentive