A Model of Organizational Knowledge Management Maturity Based on People, Process, and Technology

Journal of Information & Knowledge Management (JIKM), 2009

Posted: 12 Jul 2010

See all articles by L.G. Pee

L.G. Pee

National University of Singapore (NUS)

Atreyi Kankanhalli

National University of Singapore (NUS) - Department of Information Systems and Analytics

Date Written: June 1, 2009

Abstract

Organisations are increasingly investing in knowledge management (KM) initiatives to promote the sharing, application, and creation of knowledge for competitive advantage. To guide and assess the progress of KM initiatives in organisations, various process models have been proposed but a consistent approach that has been empirically tested is lacking. Based on the life cycle theory, this paper reviews, compares, and integrates existing models to propose a General KM Maturity Model (G-KMMM). G-KMMM encompasses the initial, aware, defined, managed, and optimising stages, which are differentiated in terms of their characteristics related to the people, process, and technology aspects of KM. To facilitate empirical validation and application, an accompanying assessment tool is also developed. As an initial validation of the proposed G-KMMM, a case study of a multi-unit information system organisation of a large public university was conducted. Findings indicate that G-KMMM can be a useful diagnostic tool for assessing and guiding KM implementation in organisations.

Keywords: Knowledge management, maturity modeling, case study

Suggested Citation

Pee, L.G. and Kankanhalli, Atreyi, A Model of Organizational Knowledge Management Maturity Based on People, Process, and Technology (June 1, 2009). Journal of Information & Knowledge Management (JIKM), 2009, Available at SSRN: https://ssrn.com/abstract=1632093

L.G. Pee

National University of Singapore (NUS)

1E Kent Ridge Road
NUHS Tower Block Level 7
Singapore, 119228
Singapore

Atreyi Kankanhalli (Contact Author)

National University of Singapore (NUS) - Department of Information Systems and Analytics ( email )

13 Computing Drive
117417
Singapore

HOME PAGE: http://www.comp.nus.edu.sg/disa/bio/atreyi/

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