Past, present, and future of decision support technology

By Jung P. Shim, Merrill Warkentin, James F. Courtney Jr., D. Power, Ramesh Sharda, Christer Carlsson. Decision Support Systems, 2002

1,489 citations recorded by the source corpus.

Subfields: Communication, Information Systems, Social Psychology

View Paper: https://www.semanticscholar.org/paper/0e4092badad1f579c35b3f56409bf5404773395d

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Citations in the corpus

Towards the development of a decision support system for water resource management (2005, background): “Emphasis on the multi-perspective exploration of problems (Shim et al., 2002) and shifting the target of DSS from semi-structured or unstructured to ‘‘wicked’’ problems are occasionally seen as a paradigm change (Beynon et al.”
Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice (2017, background): “” Further, a related term called ‘Decision Support Systems (DSS),’ which arguably emerged during 1970s, also widely used in this context to indicate the usage of technological solutions to support decision-making problems (Shim et al., 2002).”
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection (2018, background): “knowledge databases and representations to reason about complex decisions [5, 31, 33, 55, 67].”
The Dynamic Structure of Management Support Systems: Theory Development, Research Focus, and Direction (2007, background): “There is a vast array of technology available today from which an organization can choose to build its MSS ranging from Web-based architectures and software, intelligent agents, optimization-based tools, digital dashboards, knowledge management tools, data mining tools, and data warehouses (Barthéle”
How Incorporating Feedback Mechanisms in a DSS Affects DSS Evaluations (2009, neutral): “Technological and modeling advances have dramatically increased the availability and quality of modelbased decision support systems (DSS) (Shim et al. 2002, Banker and Kauffman 2004).”
The Psychological Well-Being of Content Moderators: The Emotional Labor of Commercial Moderation and Avenues for Improving Support (2021, background): “, accuracy and speed) and mitigate exposure effects? Since automation is unlikely to replace human moderators anytime soon [47, 64], we might think beyond automation to decision-support technology [140], to aid human moderators via an algorithm-in-the-loop [65].”
How Does the Digital Transformation Affect Organizations? Key Themes of Change in Work Design and Leadership (2018, background): “Yet, next to substituting work formerly conducted by humans, technology may also assist human workers in performing their tasks (Orlikowski & Robey, 1991), for example when making decisions (Shim, Warkentin, Courtney, Power, Sharda, & Carlsson, 2002).”
Eight key issues for the decision support systems discipline (2008, background): “These articles, such as [12] [18] [73] [79], were well known to the researchers and were clear examples of each DSS type.”
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).”