The Merits of a Just-In-Time Knowledge Management (JITKM) Approach to Decision-Making Support

Nabie Y. Conteh (), Guisseppi Forgionne (), William D. Schulte () and Kevin J. O'Sullivan ()
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Nabie Y. Conteh: Information Systems and Computer Technology, Byrd School of Business, Shenandoah University, Winchester, VA, USA
Guisseppi Forgionne: Department of Information Systems, University of Maryland, Baltimore County, MD, USA
William D. Schulte: Harry F. Byrd Jr. School of Business, Shenandoah University, Winchester, VA, USA
Kevin J. O'Sullivan: School of Management, New York Institute of Technology, NY, USA

Journal of Information & Knowledge Management (JIKM), 2006, vol. 05, issue 04, 269-277

Abstract: This paper advances the argument that, a knowledge base, rather than playing a crucial role in expediting the delivery of knowledge, obscures the process. The paper therefore offers an alternative strategy by way of the Just-In-Time knowledge delivery concept. The concept's benefits are demonstrated empirically, and the results are used to recommend strategies for maximising the benefits from the use of knowledge bases.The results of this study confirm that focussed and timely delivery of knowledge through a Just-in-Time Knowledge Management (JITKM) concept may be more effective than traditional decision support systems for decision-making support. This paper offers a novel and innovative information system, the Intelligent Just-in-Time Decision-Making Support System (IJDSS) to implement the JITKM concept in practice.The study also shows that simulation can be used to generate quality data for information system testing and evaluation. Moreover, this study suggests that simulation can be used to replace a subject-based empirical approach. As census studies, the results from such evaluations should be more generalisable in comparison to sample studies that use limited samples of subjects. Adaptations of these simulation models could also be used in diverse sectors.

Keywords: Management games; just-in-time knowledge management; intelligent decision-making support; SAS (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1142/S0219649206001517

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