Abstract
Decision-making in business remains the pivotal aspect for managers. Accordingly, decision support systems (DSSs) have evolved as one of the most popular fields in management science. To understand its development as a field, we analyse more than 2,000 articles published in the last decade. Since manual interpretation for such a large corpus remains a challenge, we adopt a more systematic and scientific approach. This study utilises the power of statistical computing and text mining to analyse the content in the abstracts of all the published articles. The existing evidence from this study hint towards a clear absence of a cumulative tradition of 're'-designing, and development of re-usable artefacts. We plug this gap by positing a feedback loop for substantiating the need of artefact re-usability. This study opens new avenues for both scholars and practitioners of the domain to further explore and analyse a more efficient practice of deploying DSS through re-usability of DSS artefacts.
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