Knowledge management performance measurement: measures, approaches, trends and future directions
This paper presents a review on Knowledge Management (KM) performance measurement in the past two decades. Various tools and techniques that have been developed are discussed and presented chronologically to show how KM performance measurement has changed during this period. Each tool and technique...
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my.utm.584662017-02-01T00:57:20Z http://eprints.utm.my/id/eprint/58466/ Knowledge management performance measurement: measures, approaches, trends and future directions Wong, Kuan Yew Tan, Li Pin Lee, Cheng Sheng Wong, Wai Peng TJ Mechanical engineering and machinery This paper presents a review on Knowledge Management (KM) performance measurement in the past two decades. Various tools and techniques that have been developed are discussed and presented chronologically to show how KM performance measurement has changed during this period. Each tool and technique is evaluated and classified based on the types of measures and approaches used. This paper also proposes six new categories: traditional, advanced, deterministic, stochastic, general result oriented, and specific result oriented, to complement the previous classification schemes. Future research directions for KM performance measurement are identified and presented in a holistic framework to act as a guideline for new researchers who wish to embark on this field SAGE Publications 2015-06 Article PeerReviewed Wong, Kuan Yew and Tan, Li Pin and Lee, Cheng Sheng and Wong, Wai Peng (2015) Knowledge management performance measurement: measures, approaches, trends and future directions. Information Development, 31 (3). pp. 239-257. ISSN 0266-6669 http://dx.doi.org/10.1177/0266666913513278 DOI:10.1177/0266666913513278 |
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TJ Mechanical engineering and machinery Wong, Kuan Yew Tan, Li Pin Lee, Cheng Sheng Wong, Wai Peng Knowledge management performance measurement: measures, approaches, trends and future directions |
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This paper presents a review on Knowledge Management (KM) performance measurement in the past two decades. Various tools and techniques that have been developed are discussed and presented chronologically to show how KM performance measurement has changed during this period. Each tool and technique is evaluated and classified based on the types of measures and approaches used. This paper also proposes six new categories: traditional, advanced, deterministic, stochastic, general result oriented, and specific result oriented, to complement the previous classification schemes. Future research directions for KM performance measurement are identified and presented in a holistic framework to act as a guideline for new researchers who wish to embark on this field |
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Article |
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Wong, Kuan Yew Tan, Li Pin Lee, Cheng Sheng Wong, Wai Peng |
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Wong, Kuan Yew Tan, Li Pin Lee, Cheng Sheng Wong, Wai Peng |
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Wong, Kuan Yew |
title |
Knowledge management performance measurement: measures, approaches, trends and future directions |
title_short |
Knowledge management performance measurement: measures, approaches, trends and future directions |
title_full |
Knowledge management performance measurement: measures, approaches, trends and future directions |
title_fullStr |
Knowledge management performance measurement: measures, approaches, trends and future directions |
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Knowledge management performance measurement: measures, approaches, trends and future directions |
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knowledge management performance measurement: measures, approaches, trends and future directions |
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SAGE Publications |
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2015 |
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http://eprints.utm.my/id/eprint/58466/ http://dx.doi.org/10.1177/0266666913513278 |
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