Exfoliating decision support system: a synthesis of themes using text mining

Rahul Kumar () and Rahul Thakurta ()
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Rahul Kumar: Indian Institute of Management (IIM) Sambalpur
Rahul Thakurta: Xavier Institute of Management Bhubaneswar (XIMB)

Information Systems and e-Business Management, 2021, vol. 19, issue 1, No 9, 247-279

Abstract: Abstract Decision support systems (DSS) have evolved significantly since the past 50 years. The existing bouquet of DSS contributions offering the prevalent emphasis and future orientations of the field also point towards several shortcomings. The existing conceptualizations of DSS offer a fragmented portrayal of the field, with a demarcation of the academia and the industry. The literature also presented a disjoint representation of the tenets of DSS. We address these concerns in this research by synthesizing the conceptual elements of DSS towards a coherent understanding of the field. We resort to an automated content analysis procedure using text mining in an open-source platform. Lexical analysis, topic modeling, and other data mining techniques were used to unveil the latent elements of DSS. Our findings indicate the three underlying themes of DSS as 'Plan', 'Design', and 'Use'. We further identified the elements of pivotal importance of DSS that helped us in re-conceptualizing the understanding of DSS. Our validation of the notion of DSS based on the practitioner's viewpoints also attended to the issue of the academia-industry divide in terms of the perception of DSS. Further, we propose an extension of the ‘Plan-Design-Use’ model through a feedback loop based on which we present the future design possibilities in DSS in terms of the reusability of the extant DSS contributions.

Keywords: Decision support systems; DSS research; Text mining; Topic modeling (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10257-020-00490-4

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