A critical analysis of decision support systems research

By David Arnott, Graham Peter Pervan. Journal of Information and Technology, 2005

644 citations recorded by the source corpus.

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Eight key issues for the decision support systems discipline (2008, methodology): “Pervan and Arnott [71] examined data warehousing and business intelligence research and Dodson, Arnott and Pervan [22] analysed the role of the system's client and user in DSS research.”
Improving Decision Analytics with Deep Learning: the Case of Financial Disclosures (2015, background): “While the classical approach relies on having humans devise simple decision-making rules, modern decision support is predominantly based on statistical evidence that originates from analyzing data [2, 3, 4, 5, 6, 7].”
The Dynamic Structure of Management Support Systems: Theory Development, Research Focus, and Direction (2007, background): “While others have proposed a synthesis of commonalities, they have focused more exclusively on one class or family of systems (Arnott and Pervan 2005; Benbasat and Nault 1990; Forgionne and Kohli 2000; Oppong et al. 2005).”
Critical Success Factors for Business Intelligence Systems (2010, positive): “Furthermore, an incremental delivery approach allows for building a long-term solution as opposed to a short term one [1, 4].”