CORPORATE TAXONOMY MAPPING FOR KNOWLEDGE ASSET MANAGEMENT IN MALAYSIAN KNOWLEDGE-BASED ORGANIZATIONS: A CONCEPTUAL FRAMEWORK FOR SPECIAL LIBRARY PRACTICE

Abstract

This paper proposes a conceptual framework for corporate taxonomy mapping aimed at enhancing knowledge asset management (KAM) in Malaysian knowledge-based organizations (KBOs), with a focus on the strategic role of special libraries. Drawing on a qualitative synthesis of literature, the study identifies key components, including knowledge asset identification, taxonomy structuring, dynamic maintenance, and the role of special librarians as knowledge stewards. The framework integrates knowledge management theory, AI-enabled taxonomy systems, and librarianship practice to address challenges in organizing and retrieving both tacit and explicit knowledge. The proposed model provides a strategic approach to taxonomy governance, aligning knowledge structures with institutional objectives and dynamic information needs. It is intended to guide special libraries in becoming active enablers of sustainable knowledge ecosystems within KBOs.