Simulation Study on Value Cocreation Mechanism of Digital Creative Industry Innovation Ecosystem Based on SEM-SD Model

The digital creative industry, though mature, faces challenges such as dependence on input factors, weak enterprise connections, and low innovation efficiency. The use of SEM-SD model can analyze the static and dynamic characteristics in the innovation ecosystem, which helps to improve the innovation capacity of the digital creative industry. This article employs Structural Equation Modeling (SEM) to examine how various factors within the digital creative industry influence the generation of value innovation output. Weibull distribution has been used to characterize the random statistical relationship between digital creative industry associations and capital. The characterization was used to derive a quantitative relationship between these associations and digital creative capital. Additionally, integrating non-linear optimal control principles within the digital creative industry economy, the article constructs a theoretical model for value co-creation within the innovation ecosystem of the digital creative industry. Building upon this framework, a System Dynamics (SD) model of the value co-creation system within the digital creative industry innovation ecosystem was developed. The findings of the study highlight the pivotal role of governmental coordination within the digital creative industry, significantly impacting innovation value output. Following closely is the importance of knowledge application ability, while knowledge spillover demonstrates the least influence. Moreover, within the digital creative industry economy, per capita consumption emerges as the primary driver of value innovation output, outshining both per capita digital creative capital and per capita material capital by a significant margin. These findings establish an important theoretical foundation for propelling the innovative progress of the digital creative industry.