Journal ArticleDOI
Eight key issues for the decision support systems discipline
David Arnott,Graham Pervan +1 more
- Vol. 44, Iss: 3, pp 657-672
TLDR
This paper integrates a number of strands of a long-term project that is critically analysing the academic field of decision support systems based on the content analysis of 1093 DSS articles published in 14 major journals from 1990 to 2004.Abstract:
This paper integrates a number of strands of a long-term project that is critically analysing the academic field of decision support systems (DSS). The project is based on the content analysis of 1093 DSS articles published in 14 major journals from 1990 to 2004. An examination of the findings of each part of the project yields eight key issues that the DSS field should address for it to continue to play an important part in information systems scholarship. These eight issues are: the relevance of DSS research, DSS research methods and paradigms, the judgement and decision-making theoretical foundations of DSS research, the role of the IT artifact in DSS research, the funding of DSS research, inertia and conservatism of DSS research agendas, DSS exposure in general ''A'' journals, and discipline coherence. The discussion of each issue is based on the data derived from the article content analysis. A number of suggestions are made for the improvement of DSS research. These relate to case study research, design science, professional relevance, industry funding, theoretical foundations, data warehousing, and business intelligence. The suggestions should help DSS researchers construct high quality research agendas that are relevant and rigorous.read more
Citations
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Journal ArticleDOI
A data-driven approach to predict the success of bank telemarketing
TL;DR: A data mining approach to predict the success of telemarketing calls for selling bank long-term deposits in Portuguese retail bank was addressed, with data collected from 2008 to 2013, thus including the effects of the recent financial crisis.
Journal ArticleDOI
Big Data Research in Information Systems: Toward an Inclusive Research Agenda
TL;DR: A first step toward an inclusive big data research agenda for IS is offered by focusing on the interplay between big data’s characteristics, the information value chain encompassing people-process-technology, and the three dominant IS research traditions (behavioral, design, and economics of IS).
Journal ArticleDOI
A simulation-based risk network model for decision support in project risk management
Chao Fang,Franck Marle +1 more
TL;DR: An integrated DSS framework including the identification, assessment and analysis of the risk network and the proposed simulation-based model makes it possible to re-evaluate risks and their priorities, to suggest and test mitigation actions, and then to support project manager in making decisions regarding risk response actions.
Book ChapterDOI
A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News
TL;DR: A novel and proactive Intelligent Decision Support System that analyzes articles prior to their publication that predicts if an article will become popular and optimizes a subset of the articles features that can more easily be changed by authors, searching for an enhancement of the predicted popularity probability.
References
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Judgment Under Uncertainty: Heuristics and Biases
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Building theories from case study research.
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The Analytic Hierarchy Process
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TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.