對最近KM發展的總結（英語版）.PDF22

Integrating Knowledge Management Technologies
in Organizational Business Processes:
Getting Real Time Enterprises to Deliver Real Business Performance
The author: Dr Yogesh Malhotra is the founding Chairman and Chief Knowledge Architect of the BRINT
Institute, LLC, the New York based research, advisory and e-learning company internationally recognized
as a pioneer of leading edge research, practice and thought leadership on knowledge management and
strategic business technology innovation. He currently serves on the faculty of the School of Management
at Syracuse University, prior to which he taught at the Kellogg School of Management at Northwestern
University and the Graduate School of Industrial Administration at the Carnegie Mellon University. His
recent advisory engagements include United Nations, National Science Foundation, Conference Board,
Intel Corporation, Government of Mexico, US Federal Government, Government of Netherlands and Ziff
Davis. During the last 20 years of his professional career he has worked in advisory and executive roles
with world governments, nations, global corporations and Fortune 100 companies in healthcare, banking
and finance, software development, manufacturing and process engineering. Contact information:
yogesh.malhotra@brint.com, www.kmnetwork.com, www.brint.com. (Version: October 20, 2003)
This is the pre-print of article accepted for publication in the Journal of Knowledge Management special
issue on Knowledge Management and Technology. Minor revisions may be made in the final version.
Keywords: Knowledge Management, Knowledge Management Technologies, Real Time Enterprises,
New Business Models, Business Processes, Business Performance, Return on Investment
Abstract: Insights from industry cases and research studies reveal major limitations inherent in the
implementation paradigms of KM systems and technologies. Despite increasing sophistication of KM
technologies, how do we understand increasing failures of KM technology implementations? What are the
knowledge gaps between technology inputs, knowledge processes, and business performance that cause
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