Abstract：The industrial policy for digital transformation is pivotal in the digital transformation of enterprises.National and regional governments,along with various functional bodies,have been proactive in introducing relevant policies to facilitate enterprise transformation and modernization.Nevertheless,it remains to be evaluated whether there are problems in the dynamic nature of policy theme,the synergy among policy actors,and the application of policy tools.Drawing upon policy documents pertaining to enterprise digital transformation from 2007 to 2022,this study combines LDA topic modeling,co-occurrence analysis,and computational techniques to assess textual semantic similarity,employs text mining within the tripartite framework of“Theme-Actor-Tool”,and employs visualization techniques for result presentation.The study reveals:①A thematic progression from“informatization development”to“datafication development”,and ultimately“intelligent development”;②An evolution in the network structure of policy actors from“loose”to“loosely coupled multi-actor”,and finally“tightly coupled multi-actor”configurations;③A pattern in policy tool application characterized by a“strong supply,moderate environmental focus,and weak demand”,with a notable deficiency in the deployment of secondary policy tools such as“public services”,“data systems”,and“service outsourcing”.In light of these findings,the study advocates for strategic foresight in policy theme development and the reinforcement of actor coordination mechanisms,and other related aspects.
刘玉斌, 能龙阁, 薛玉香. 基于政策“主题-主体-工具”维度的企业数字化转型产业政策演化研究[J]. 中国科技论坛, 2024(10): 76-85.
Liu Yubin, Neng Longge, Xue Yuxiang. Based on the“Theme-Actor-Tool” Dimension Research on the Evolution of Industrial Policy for Enterprise Digital Transformation. , 2024(10): 76-85.
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