Decision station: situating decision support systems

  • Authors:
  • Rustam Vahidov;Gregory E. Kersten

  • Affiliations:
  • Department of Decision Sciences and MIS, J. Molson School of Business, Concordia University, Montreal, Canada H3G 1M8;Department of Decision Sciences and MIS, J. Molson School of Business, Concordia University, Montreal, Canada H3G 1M8

  • Venue:
  • Decision Support Systems
  • Year:
  • 2004

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Abstract

Internet facilitates access to data, information, and knowledge sources, but at the same time, it threatens to cognitively overload the decision makers. This necessitates the development of effective decision support tools to properly inform the decision process. Internet technologies require new type of decision support that provides tighter integration and higher degree of direct interaction with the problem domain. The central argument of this work is that in dynamic and highly complex electronic environments decision support systems (DSSs) should be situated in the problem domain. A generic architecture, the set of capabilities for our vision of a situated DSS is proposed, and the architecture is illustrated with a DSS for investment management.