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Organizational Knowledge Management

David B. Paradice, James F. Courtney

Source Title: Information Resources Management Journal (IRMJ) 2(3)

DOI: 10.4018/irmj.1989070101

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Abstract

Significant payoff potential exists for organizations that effectively exploit artificial intelligence technologies to manage organizational knowledge. The fundamental concepts of knowledge management, knowledge acquisition, knowledge representation, and knowledge utilization are examined in light of the unique characteristics of organizational problems. Key areas where these technologies can be applied in organizational settings are discussed, including document processing, organizational learning, information systems management, and group decision support systems. Managerial issues regarding worker resistance, competitive advantage, and cost of adopting knowledge management technology are also considered.

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Volume 37: 1 Issue (2024)

Volume 36: 1 Issue (2023)

Volume 35: 4 Issues (2022): 3 Released, 1 Forthcoming

Volume 34: 4 Issues (2021)

Volume 33: 4 Issues (2020)

Volume 32: 4 Issues (2019)

Volume 31: 4 Issues (2018)

Volume 30: 4 Issues (2017)

Volume 29: 4 Issues (2016)

Volume 28: 4 Issues (2015)

Volume 27: 4 Issues (2014)

Volume 26: 4 Issues (2013)

Volume 25: 4 Issues (2012)

Volume 24: 4 Issues (2011)

Volume 23: 4 Issues (2010)

Volume 22: 4 Issues (2009)

Volume 21: 4 Issues (2008)

Volume 20: 4 Issues (2007)

Volume 19: 4 Issues (2006)

Volume 18: 4 Issues (2005)

Volume 17: 4 Issues (2004)

Volume 16: 4 Issues (2003)

Volume 15: 4 Issues (2002)

Volume 14: 4 Issues (2001)

Volume 13: 4 Issues (2000)

Volume 12: 4 Issues (1999)

Volume 11: 4 Issues (1998)

Volume 10: 4 Issues (1997)

Volume 9: 4 Issues (1996)

Volume 8: 4 Issues (1995)

Volume 7: 4 Issues (1994)

Volume 6: 4 Issues (1993)

Volume 5: 4 Issues (1992)

Volume 4: 4 Issues (1991)

Volume 3: 4 Issues (1990)

Volume 2: 4 Issues (1989)

Volume 1: 1 Issue (1988)

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