Breaking the Knowledge Acquisition Bottleneck Through Conversational Knowledge Management

Breaking the Knowledge Acquisition Bottleneck Through Conversational Knowledge Management

Christian Wagner (City University of Hong Kong, Hong Kong and Claremont Graduate University, USA)
Copyright: © 2008 |Pages: 15
DOI: 10.4018/978-1-59904-570-2.ch012
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Abstract

Much of today’s organizational knowledge still exists outside of formal information repositories and often only in people’s heads. While organizations are eager to capture this knowledge, existing acquisition methods are not up to the task. Neither traditional artificial intelligence-based approaches nor more recent, less-structured knowledge management techniques have overcome the knowledge acquisition challenges. This article investigates knowledge acquisition bottlenecks and proposes the use of collaborative, conversational knowledge management to remove them. The article demonstrates the opportunity for more effective knowledge acquisition through the application of the principles of Bazaar style, open-source development. The article introduces wikis as software that enables this type of knowledge acquisition. It empirically analyzes the Wikipedia to produce evidence for the feasibility and effectiveness of the proposed approach.

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