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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Main Authors: Wong, Kuan Yew, Tan, Li Pin, Lee, Cheng Sheng, Wong, Wai Peng
Format: Article
Published: SAGE Publications 2015
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Online Access:http://eprints.utm.my/id/eprint/58466/
http://dx.doi.org/10.1177/0266666913513278
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spelling 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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle 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
description 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
format Article
author Wong, Kuan Yew
Tan, Li Pin
Lee, Cheng Sheng
Wong, Wai Peng
author_facet Wong, Kuan Yew
Tan, Li Pin
Lee, Cheng Sheng
Wong, Wai Peng
author_sort 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
title_full_unstemmed Knowledge management performance measurement: measures, approaches, trends and future directions
title_sort knowledge management performance measurement: measures, approaches, trends and future directions
publisher SAGE Publications
publishDate 2015
url http://eprints.utm.my/id/eprint/58466/
http://dx.doi.org/10.1177/0266666913513278
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score 13.211869