Authors:
Oscar M. Rodríguez-Elias
1
;
Cesar E. Rose-Gómez
1
;
Aurora Vizcaino
2
and
Ana I. Martíenz-García
3
Affiliations:
1
Institute of Technology of Hermosillo, Mexico
;
2
University of Castilla-La Mancha, Spain
;
3
CICESE Research Center, Mexico
Keyword(s):
Knowledge Management, Knowledge Audit, KM Audit, Knowledge Flow Analysis, KM Process Improvement.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
KM Strategies and Implementations
;
Knowledge Management and Information Sharing
;
Knowledge Management Projects
;
Knowledge-Based Systems
;
Symbolic Systems
;
Tools and Technology for Knowledge Management
Abstract:
Researchers and practitioners in the field of knowledge management have observed the need of performing studies to understand the context and specific knowledge workers’ needs before proposing strategies or systems that may not be entirely useful for organizations, resulting in costly and unsuccessful knowledge management projects. Different approaches have been proposed to face this problem, such as process engineering techniques to integrate knowledge management in business processes, and also knowledge audits to identify the knowledge and knowledge problems in organizations. This paper draws on the idea of the knowledge audit to propose a methodology for knowledge management audits, which integrates process engineering techniques and the main tasks of knowledge audits. The methodology was developed based on one of our previous works, literature review, and our own experience in field studies. The methodology, its constitutive phases and main tasks, together with some aspects about
its use in field studies, including benefits and weaknesses, are described.
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