Eight key issues for the decision support systems discipline
By David Arnott, Graham Peter Pervan. Decision Support Systems, 2008
410 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/fb2119afbf17f49b3acb923b089c8f0212a75a32
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Suprateek Sarker
- Paulo Cortez
- Roger H. L. Chiang
- Paulo Rita
- Kelwin Fernandes
- Pedro Vinagre
- Sérgio Moro
In Management Science and Operations Research
- Suprateek Sarker
- Ahmed Ali Abbasi
- Paulo Cortez
- Roger H. L. Chiang
- Paulo Rita
- Kelwin Fernandes
- Pedro Vinagre
- Sérgio Moro
In Sociology and Political Science
- Suprateek Sarker
- Ahmed Ali Abbasi
- Paulo Cortez
- Roger H. L. Chiang
- Paulo Rita
- Kelwin Fernandes
- Pedro Vinagre
- Sérgio Moro
Citations in the corpus
- A data-driven approach to predict the success of bank telemarketing (2014, background): “Personal DSSs are related with small-scale systems that support a decision task of one manager, while intelligent DSSs use artificial intelligence techniques to support decisions [1].”
- Big Data Research in Information Systems: Toward an Inclusive Research Agenda (2016, background): “Major areas of emphasis include research on designing decision support systems (DSS) and behavioral research on the effectiveness of IT artifacts or other decision aids for supporting decision making (Nunamaker, Chen, & Purdin, 1991; Wixom & Watson, 2001; Shim et al., 2002; Arnott & Pervan, 2008).”
- A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News (2015, methodology): “, Data Mining, Metaheuristics), there has been a growing interest in the development of Intelligent DSS (IDSS), which adopt Artificial Intelligence techniques to decision support [2].”