Evaluation of knowledge management performance: An organic approach

Chen, Le & Fong, Patrick S.W. (2015) Evaluation of knowledge management performance: An organic approach. Information & Management, 52(4), pp. 431-453.

[img] Accepted Version (PDF 646kB)
Administrators only until June 2018 | Request a copy from author
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

View at publisher

Abstract

Knowledge management (KM) strategy is the planned or actual coordination of a firm's major goals and learning in time; this coordination continually co-aligns the firm's knowledge-based resources with the environment. Based on the organic perspective of strategy, a KM performance evaluation approach should be able to 1) review the knowledge governance mechanisms and learning routines that underpin the KM strategy, as well as the performance outcomes driven by the strategy, and 2) predict the evolution of performance drivers and outcomes into the future to facilitate strategic planning. This study combined a survey study and a system dynamics (SD) simulation to demonstrate the transformation from a mechanistic to an organic perspective on KM strategy and performance evaluation. The survey study was conducted based on a sample of 143 construction contractors and used structural equation modeling (SEM) techniques to develop a KM performance index for reviewing the key elements that underpin KM strategy. The SD simulation predicted the development of KM strategy configurations and the evolution of KM performance over time. The organic KM performance evaluation approach demonstrated by this study has significant potential to improve the alignment of KM strategy within an increasingly dynamic business environment.

Impact and interest:

11 citations in Scopus
Search Google Scholar™
8 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 81304
Item Type: Journal Article
Refereed: Yes
Keywords: Knowledge management, Knowledge management capability, Knowledge management strategy, Learning routines, Governance mechanisms, Performance evaluation, System dynamics analysis
DOI: 10.1016/j.im.2015.01.005
ISSN: 0378-7206
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Building Construction Management and Project Planning (120201)
Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > BUSINESS AND MANAGEMENT (150300) > Business Information Management (incl. Records Knowledge and Information Management and Intelligence) (150301)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 Elsevier B.V.
Copyright Statement: This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Deposited On: 30 Jan 2015 00:01
Last Modified: 14 Dec 2015 05:19

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page