Abstract
The digital transformation of the innovation ecosystem is not only an inevitable direction of innovation activities in the era of digital economy but also a highly complex and uncertain process. The way to facilitate transformation with policies has become a topic of common concern of academia and policymakers. This paper builds a multiagent model and studies the impacts of supply-side policies, demand-side policies, and environmental policies on enterprises’ transformation willingness, digital level, and income level as well as the proportion of enterprises that carry out transformation in the whole innovation ecosystem and innovation network structure by numerical experiments. According to research findings, supply-side policies play the biggest role in the facilitation of transformation, demand-side policies are second important to them, and environmental policies have comparatively weak impacts.
Highlights
Knowledge resources spillover, diffusion and transfer among different innovation agents [14, 15], and the corresponding absorptive capacity have important influence on innovation performance [16]. e innovation ecosystem can be divided into different levels such as enterprise, region, and industry, which play a positive role in innovation performance and sustainable development [17]
Digital transformation refers to major changes in strategy, organizational structure, product operation, business model, and other aspects brought by digital technologies, which are characterized by their integration, span, and strong environmental dependency [19]
It can be seen from the figure that the number of enterprises carrying out digital transformation in innovation ecosystem constantly increases with time
Summary
Total number of iterations Market size of whole network Demand-side policies’ influence on the enterprise’s willingness to transformation Coefficient of environmental policies’ influence on the enterprise’s willingness to transformation reshold of the minimum number of mismatches Unit cost for upgrading of existing IT application Unit cost for building of new IT application Net income of each unit market share Parameter of the success rate of cooperative innovation Parameter of the success rate of independent innovation Parameter controlling the growth rate of success rate of transformation. It can be seen from the figure that the number of enterprises carrying out digital transformation in innovation ecosystem constantly increases with time. Accompanied with continuous reduction in digital transformation cost, the number of enterprises succeed at digital transformation continuously increases, and all enterprises in innovation ecosystem will accomplish digital transformation if transformation cost is low enough (Figure 2(d))
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