基于BERTopic模型的组织成员工作投入研究的主题提取
Topic Extraction of Organizational Members'Work Engagement Research Based on the BERTopic Model
金国峰 1陈泽峰1
作者信息
- 1. 辽宁工程技术大学工商管理学院 辽宁葫芦岛 125105
- 折叠
摘要
[目的/意义]旨在通过科学计量方法,挖掘"组织成员工作投入"文献资源中蕴藏的主题,为后续研究提供参考和启示.[方法/过程]搜集中国知网学术期刊数据库中2002-2023年相关文献的摘要和发表年份,经过文本预处理,使用BER-Topic模型进行主题提取和可视化分析.[结果/结论]国内现有的关于组织成员工作投入的研究可以分为研究内容和研究方法两大主题集群,均表现出多样化态势.主题时序演化分析揭示了组织成员工作投入研究正逐步转向对个体差异和心理健康的关注.未来研究可从新技术的影响、工作投入动态变化以及跨学科合作等方面进行拓展.
Abstract
[Purpose/significance]The paper aims to mine the themes embedded in the literature resources of"organizational members'work engagement"through scientometric methods,so as to provide reference and insights for subsequent research.[Method/process]The paper collects the abstracts and publication years of relevant literature from 2002 to 2023 in CNK1 academic journal data-base.After text preprocessing,the BERTopic model is used for topic extraction and visual analysis.[Result/conclusion]The existing domestic research on organizational members'work engagement can be divided into two major thematic clusters:research content and re-search methods,both of which show a diversified trend.The thematic temporal evolution analysis reveals that the research on organiza-tional members'work engagement is gradually turning to the attention of individual differences and psychological health.Future research can be expanded in areas such as the impact of new technologies,dynamic changes in work engagement,and interdisciplinary collabora-tion.
关键词
工作投入/主题提取/BERTopic/可视化分析Key words
work engagement/topic extraction/BERTopic/visual analysis引用本文复制引用
基金项目
国家社会科学基金一般项目(20BKS201)
出版年
2024
NETL
NSTL
万方数据