DSS research: a bibliometric analysis by gender

IF 2.8 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Journal of Decision Systems Pub Date : 2022-05-03 DOI:10.1080/12460125.2022.2070953
P. Keenan, C. Heavin
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引用次数: 0

Abstract

ABSTRACT This research-in-progress article uses a bibliometric approach to explore the research landscape by the gender of publishing authors in the Decision Support Systems (DSS) field over 10 years, from 2011 to 2020. The Web of Science (WOS) provides a valuable information resource on academic disciplines as it contains both the articles published and the articles cited. This research presents information on the gender breakdown of authors publishing on the topic of DSS globally. We examined publication trends over time, considering the main categories and research areas by authors’ gender. As a result, some initial recommendations to guide future research efforts of both DSS academics and practitioners are provided.
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DSS研究:按性别分类的文献计量分析
摘要:这篇正在进行的研究文章采用文献计量方法,从2011年到2020年,在10年的时间里,按出版作者的性别探索决策支持系统(DSS)领域的研究前景。科学网(WOS)提供了一个关于学术学科的宝贵信息资源,因为它包含了发表的文章和引用的文章。这项研究提供了全球DSS主题出版作者的性别分类信息。我们研究了一段时间以来的出版趋势,根据作者的性别考虑了主要类别和研究领域。因此,提供了一些初步建议,以指导DSS学者和从业者未来的研究工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Decision Systems
Journal of Decision Systems OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
6.30
自引率
23.50%
发文量
55
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