Study on Construction of a New Business Education Ecology Driven by Government-industry-academia-research Synergy and Dual-cycle Dynamic IterationOA
In the era of digital economy,business education lags behind the rapid iteration of industrial technology,which has become the core contradiction hindering industrial development.In order to solve the key problem of the disconnection between education supply and industrial demand,this paper proposes the“government,industry,academia,research and dynamic iteration”education ecological framework based on the ecological niche theory and the collaborative innovation theory,and adopts the combination of model construction and case study verification research method.The framework designs a four-dimensional collaborative nurturing mechanism that includes the linkage of multiple subjects and a double-cycle dynamic adjustment model based on feedback optimization,and constructs three major systems of technical support,resource integration and quality assurance.The research effectively breaks through the traditional linear cultivation paradigm,and the validation shows that the framework can significantly improve the matching degree and dynamic adaptability of talent cultivation and industrial demand.This paper not only provides a systematic theoretical model for the construction of a new business education system adapted to the needs of the digital economy,but also contributes an operable practical path,which is of great theoretical value and practical reference significance for promoting the digital transformation of business education.
QIU Renyi
School of Business,Fuzhou Polytechnic,Fuzhou 350108,China
社会科学
government-industry-academia-research collaborationdynamic iterative mechanismdouble-loop modelnew business education ecology
《International Journal of Plant Engineering and Management》 2026 (1)
P.1-19,19
supported by Fujian Provincial Vocational Education Research Project(ZJGB2024038)Fujian Provincial Education Science Planning Project(FJJKGZ24-081)Fujian Provincial Social Science Planning Project(FJ2025C048).
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