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DSS research: a bibliometric analysis by gender

Publication type
journal article
Publication date
2022
Author(s)
Keenan, P.
Heavin, C.
Language
English
Keywords

DSS

Bibliometrics

Decision Support

Decision Support Syst...

Gender

Discipline(s)

Economics & Business

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. © 2022 Informa UK Limited, trading as Taylor & Francis Group.
Journal
Journal of Decision Systems
ISSN
2116-7052
DOI
10.1080/12460125.2022.2070953
Volume
31
Issue
S1
Pagination
107-116
https://resolver.ebsco.com/c/t3cw6d/result?genre=article&aulast=Keenan&issn=1246-0125&title=Journal%20of%20Decision%20Systems&atitle=DSS%20research%3A%20a%20bibliometric%20analysis%20by%20gender&volume=31&issue=sup1&spage=107&epage=116&date=2022-05-03&doi=10.1080%2F12460125.2022.2070953&sid=LibKey
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