基于潜在狄利克雷分配模型的工程管理研究课题分析

IF 3.4 Q2 MANAGEMENT
J. Kim, Weiru Chen
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引用次数: 6

摘要

传统的IS期刊主题趋势的期刊分析是从选定的时间段手动编码目标文章。然而,已经有一些研究努力应用自动文献计量方法,如聚类分析和概率模型,在其他研究领域的学术文章中寻找主题。因此,本研究的目的是使用LDA分析模型调查1998年至2017年工程管理领域的研究主题趋势。通过研究EM期刊上的主题,我们提供了EM研究主题的部分但有意义的趋势。趋势分析表明,热点话题文章数增加,稳定话题保持不变,冷话题文章数减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Topic Analysis in Engineering Management Using a Latent Dirichlet Allocation Model
Traditional journal analyses of topic trends in IS journals have manually coded target articles from chosen time periods. However, some research efforts have been made to apply automatic bibliometric approaches, such as cluster analysis and probabilistic models, to find topics in academic articles in other research areas. The purpose of this study is thus to investigate research topic trends in Engineering Management from 1998 through 2017 using an LDA analysis model. By investigating topics in EM journals, we provide partial but meaningful trends in EM research topics. The trend analysis shows that there are hot topics with increasing numbers of articles, steady topics that remain constant, and cold topics with decreasing numbers of articles.
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来源期刊
CiteScore
17.00
自引率
16.70%
发文量
31
期刊介绍: The Journal of Industrial Integration and Management: Innovation & Entrepreneurship concentrates on the technological innovation and entrepreneurship within the ongoing transition toward industrial integration and informatization. This journal strives to offer insights into challenges, issues, and solutions associated with industrial integration and informatization, providing an interdisciplinary platform for researchers, practitioners, and policymakers to engage in discussions from the perspectives of innovation and entrepreneurship. Welcoming contributions, The Journal of Industrial Integration and Management: Innovation & Entrepreneurship seeks papers addressing innovation and entrepreneurship in the context of industrial integration and informatization. The journal embraces empirical research, case study methods, and techniques derived from mathematical sciences, computer science, manufacturing engineering, and industrial integration-centric engineering management.
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