首页|基于LdaVecNet模型的企业数字化转型研究热点与趋势

基于LdaVecNet模型的企业数字化转型研究热点与趋势

扫码查看
数字化转型是政府和企业关注的焦点,挖掘国内外企业数字化转型研究热点与趋势,可以为推动企业数字化转型的创新与发展提供有效参考.基于2010-2024 年中国知网和Web of Science核心期刊上发表的企业数字化转型相关文献,采用文献计量分析和共词分析揭示发文趋势与动态,通过LdaVec-Net模型进行主题抽取与内容挖掘,从时间维度追踪主题演变,最后运用线性回归进行热点主题识别.结果表明:国内研究热点主要集中于企业数字化转型与金融科技、商业模式、产业链协同、企业生产率方面的机制与效应;国际研究热点关注企业数字化转型与金融科技、消费者行为、企业绿色创新、中小企业数字化转型能力、供应链韧性、商业模式等方面的相互影响与联系.
Research on the hotspots and trends of enterprise digital transformation based on LdaVecNet model
Digital transformation is a focal point of concern for both governments and enterprises.This paper aims to uncover the research hotspots and trends of digital transformation in enterprises both domestically and internationally,thereby providing a valuable reference for the innovation and development of enterprise digital transformation.Based on the literature on enterprise digital transformation published in core journals from CNKI and Web of Science from 2010 to 2024,this paper employs bibliometric analysis and co-word analysis to reveal trends and dynamics in publication.Topic extraction and content mining are conducted through the LdaVecNet model,and the evolution of topics is tracked over time.Finally,linear regression is applied to identify hotspots.The results indicate that domestic research hotspots are primarily focused on the mechanisms and effects related to enterprise digital transformation and fintech,business models,supply chain collaboration,and enterprise productivity.In contrast,international research hotspots are concerned with the mutual impacts and connections in areas such as enterprise digital transformation and fintech,consumer behaviors,enterprise green innovation,the digital transformation capabilities of small and medium-sized enterprises,supply chain resilience,and business models.

enterprise digital transformationLdaVecNettopic miningtopic evolutionresearch hotspot

袁朋伟、张涵玉

展开 >

济南大学 管理科学与工程学院,山东 济南 250022

中国农业大学 图书馆,北京 100193

企业数字化转型 LdaVecNet模型 主题挖掘 主题演化 研究热点

2024

重庆理工大学学报
重庆理工大学

重庆理工大学学报

CSTPCD北大核心
影响因子:0.567
ISSN:1674-8425
年,卷(期):2024.38(24)