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ERIC Number: EJ843555
Record Type: Journal
Publication Date: 2006-Jun
Pages: 16
Abstractor: As Provided
Reference Count: 27
ISSN: ISSN-0898-5952
Applying Case-Based Reasoning in Knowledge Management to Support Organizational Performance
Wang, Feng-Kwei
Performance Improvement Quarterly, v19 n2 p173-188 Jun 2006
Research and practice in human performance technology (HPT) has recently accelerated the search for innovative approaches to supplement or replace traditional training interventions for improving organizational performance. This article examines a knowledge management framework built upon the theories and techniques of case-based reasoning (CBR) and Nonaka's (1991, 1994) knowledge conversion model to shed light on how organizational performance can be enhanced by leveraging organizational knowledge represented as cases to support learning, working, and innovation of knowledge workers. This framework offers HPT practitioners new ways of thinking and methods for the design of performance support interventions by which organizational knowledge is stored, codified, delivered, and acted upon in context, on demand, and at the point of need. This paper describes a project, Knowledge Innovation for Technology in Education (KITE), which was designed to support professional development of teachers using CBR and knowledge conversion theories. (Contains 6 figures and 1 table.)
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Publication Type: Journal Articles; Reports - Research
Education Level: Adult Education; Elementary Secondary Education; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Missouri