Scientific authorship in DSS research: Past trends and future opportunities

Thumbnail Image
Keenan, Peter B.
Heavin, Ciara
Journal Title
Journal ISSN
Volume Title
Springer Nature Ltd.
Research Projects
Organizational Units
Journal Issue
Over a period of almost 60 years, Decision Support Systems (DSS) research has focused on supporting managerial decision-making, drawing on contributions from diverse fields including Economics, Operations Research/Management Science (OR/MS), Information Systems (IS), and Management. To better understand the DSS landscape, this article uses a bibliometric analysis to investigate current publishing trends in DSS as a research area, co-authorship by gender, and location. By leveraging Scopus, we identify notable patterns and developments in DSS research authorship from 2018 to 2022. We present initial recommendations to guide the future research efforts of both DSS academics and practitioners.
Decision Support , Decision Support Systems , DSS , Bibliometric analysis , Gender , Author , Location
Keenan, P. B. and Heavin, C. (2023) 'Scientific authorship in DSS research: Past trends and future opportunities', in: Liu, S., Zaraté, P., Kamissoko, D., Linden, I. and Papathanasiou, J. (eds) Decision Support Systems XIII. Decision Support Systems in An Uncertain World: The Contribution of Digital Twins . ICDSST 2023. Lecture Notes in Business Information Processing, vol 474, pp. 287-301. Springer, Cham. doi: 10.1007/978-3-031-32534-2_21
Link to publisher’s version
© 2023, the Authors, under exclusive license to Springer Nature Switzerland AG. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: