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基于LdaVecNet模型的企业数字化转型研究热点与趋势

袁朋伟 张涵玉

重庆理工大学学报2024,Vol.38Issue(24):67-84,18.
重庆理工大学学报2024,Vol.38Issue(24):67-84,18.DOI:10.3969/j.issn.1674-8425(s).2024.12.006

基于LdaVecNet模型的企业数字化转型研究热点与趋势

Research on the hotspots and trends of enterprise digital transformation based on LdaVecNet model

袁朋伟 1张涵玉2

作者信息

  • 1. 济南大学 管理科学与工程学院,山东 济南 250022
  • 2. 中国农业大学 图书馆,北京 100193
  • 折叠

摘要

Abstract

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.

关键词

企业数字化转型/LdaVecNet模型/主题挖掘/主题演化/研究热点

Key words

enterprise digital transformation/LdaVecNet/topic mining/topic evolution/research hotspot

分类

社会科学

引用本文复制引用

袁朋伟,张涵玉..基于LdaVecNet模型的企业数字化转型研究热点与趋势[J].重庆理工大学学报,2024,38(24):67-84,18.

基金项目

国家社会科学基金项目"竞争性国企创新效率损失及其优化对策研究"(20BGL047) (20BGL047)

重庆理工大学学报

OA北大核心

1674-8425

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