Description
Abstract Decision Support Systems (DSS) is a mature field of study with an extensive conceptual and empirical literature. This research study provides a starting point for learning and reviewing the foundation literature of the field. Decision support and analytics researchers can benefit from revisiting the methodologies, identifying under-explored ideas, and hopefully identifying visionary concepts from thought leaders who established the DSS research stream. This article reports a systematic examination of the DSS foundational literature published in MIS Quarterly during its first fifteen years of publication -- 1977-1991. In addition to examining the relevance of these articles to current and future research, the findings of the study provide a reference point of DSS research categories. Articles were categorized in terms of theory, methods, concepts and perspectives about computerized decision support that enrich research and encourage future exploration.
Recommended Citation
Phillips-Wren, Gloria; Daly, Mary; Power, Daniel; and Adam, Frederic, "A Critical Review of Decision Support Systems Foundational Articles" (2017). AMCIS 2017 Proceedings. 18.
https://aisel.aisnet.org/amcis2017/AdvancesIS/Presentations/18
A Critical Review of Decision Support Systems Foundational Articles
Abstract Decision Support Systems (DSS) is a mature field of study with an extensive conceptual and empirical literature. This research study provides a starting point for learning and reviewing the foundation literature of the field. Decision support and analytics researchers can benefit from revisiting the methodologies, identifying under-explored ideas, and hopefully identifying visionary concepts from thought leaders who established the DSS research stream. This article reports a systematic examination of the DSS foundational literature published in MIS Quarterly during its first fifteen years of publication -- 1977-1991. In addition to examining the relevance of these articles to current and future research, the findings of the study provide a reference point of DSS research categories. Articles were categorized in terms of theory, methods, concepts and perspectives about computerized decision support that enrich research and encourage future exploration.