Enhancing knowledge-intensive business processes via knowledge management audit

Meira Levy, Irit Hadar, Itzhak Aviv

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Enhancing organizational Knowledge-Intensive Business Processes (KIBP) for gaining competitive advantages is often performed through Knowledge Management (KM) initiatives. These KM initiatives aim at developing organizational KM infrastructure of KIBP, starting from knowledge audit that is a necessary first step in any KM initiative. Current knowledge audit methods address either technological-related or social-related aspects. None of them was found to deal with the triple perspective of KM infrastructure: culture, knowledge processes and information technology, in the context of KIBP. This paper proposes a comprehensive framework and practical tools for knowledge audit that aim at enhancing KIBP by embedding KM capabilities within them. As KM infrastructure integrates social and technological disciplines, we developed a combined Socio-Engineering Knowledge Audit Methodology (SEKAM) for a systematic audit of the KM infrastructure in the context of KIBP. This methodology is illustrated through knowledge audit in a large high-tech global organization.

Original languageEnglish
Title of host publication15th Americas Conference on Information Systems 2009, AMCIS 2009
Pages725-734
Number of pages10
StatePublished - 2009
Event15th Americas Conference on Information Systems 2009, AMCIS 2009 - San Francisco, CA, United States
Duration: 6 Aug 20099 Aug 2009

Publication series

Name15th Americas Conference on Information Systems 2009, AMCIS 2009
Volume2

Conference

Conference15th Americas Conference on Information Systems 2009, AMCIS 2009
Country/TerritoryUnited States
CitySan Francisco, CA
Period6/08/099/08/09

Keywords

  • Business processes
  • Knowledge audit
  • Knowledge management

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems
  • Library and Information Sciences

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