Bibliometric Analysis on Digital Talent Cultivation in China

With the vigorous development of the digital economy and the deepening of enterprise digital transformation in China, cultivating digital talent has become a focus of academic research. This study examines the literature related to digital talent from 2015 to 2025 in the China National Knowledge Infrastructure (CNKI) journal database and employs a bibliometric analysis approach to investigate the research focus and trends in digital talent development. The analysis covers authors, institutions, keywords, research hotspots, and trend evolution. The findings reveal the following: First, with the advancement of digital transformation policies by governments and enterprises, the number of publications related to digital talent has significantly increased in recent years. Second, a stable core group of authors has yet to emerge domestically, and collaborations between research institutions are mostly confined to specific regions with limited collaboration. Third, digital talent research mainly focuses on the digital economy and digitalization, enterprise digitalization and digital transformation, and the cultivation of digital talent. Finally, on the basis of the analysis results of the knowledge graph and the national situation, implementation strategies for digital talent cultivation are proposed. These strategies inherently align with crowd science principles, where human-machine-object intelligence interactions drive collective evolution, collaborative innovation, and decentralized decision-making to enhance socio-economic efficacy.