A six-stage model for the effective diffusion of knowledge management systems

Purpose – This paper aims to focus on the diffusion process of Knowledge management systems (KMSs). Specifically, to identify the sequence of stages of the process. Design/methodology/approach – The paper presents a six-stage model of the KMS diffusion process. It then provides an empirical test of...

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Bibliographic Details
Main Authors: Xu, J., Quaddus, Mohammed
Format: Journal Article
Published: Emerald Group Publishing 2005
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/36174
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author Xu, J.
Quaddus, Mohammed
author_facet Xu, J.
Quaddus, Mohammed
author_sort Xu, J.
building Curtin Institutional Repository
collection Online Access
description Purpose – This paper aims to focus on the diffusion process of Knowledge management systems (KMSs). Specifically, to identify the sequence of stages of the process. Design/methodology/approach – The paper presents a six-stage model of the KMS diffusion process. It then provides an empirical test of the sequence of steps in the KMS diffusion process in Australia. Structural equation modelling using LISREL is used as the analytical tool for the empirical test. Findings – The results show that all the hypotheses related to the sequence of the KMS diffusion process are significant. This is an important and significant finding. It clearly demonstrates how KMS adoption and diffusion should be planned in Australian organizations. Originality/value – The research identifies six stages of KMS diffusion based on the results from selected Australian companies: initiation, adoption, pilot implementation, organic growth, organizational implementation, and sustained use/diffusion of KMS.
first_indexed 2025-11-14T08:44:30Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T08:44:30Z
publishDate 2005
publisher Emerald Group Publishing
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-361742017-09-13T15:52:51Z A six-stage model for the effective diffusion of knowledge management systems Xu, J. Quaddus, Mohammed Knowledge management Australia Diffusion Linear structure equation modelling Purpose – This paper aims to focus on the diffusion process of Knowledge management systems (KMSs). Specifically, to identify the sequence of stages of the process. Design/methodology/approach – The paper presents a six-stage model of the KMS diffusion process. It then provides an empirical test of the sequence of steps in the KMS diffusion process in Australia. Structural equation modelling using LISREL is used as the analytical tool for the empirical test. Findings – The results show that all the hypotheses related to the sequence of the KMS diffusion process are significant. This is an important and significant finding. It clearly demonstrates how KMS adoption and diffusion should be planned in Australian organizations. Originality/value – The research identifies six stages of KMS diffusion based on the results from selected Australian companies: initiation, adoption, pilot implementation, organic growth, organizational implementation, and sustained use/diffusion of KMS. 2005 Journal Article http://hdl.handle.net/20.500.11937/36174 10.1108/02621710510591352 Emerald Group Publishing restricted
spellingShingle Knowledge management
Australia
Diffusion
Linear structure equation modelling
Xu, J.
Quaddus, Mohammed
A six-stage model for the effective diffusion of knowledge management systems
title A six-stage model for the effective diffusion of knowledge management systems
title_full A six-stage model for the effective diffusion of knowledge management systems
title_fullStr A six-stage model for the effective diffusion of knowledge management systems
title_full_unstemmed A six-stage model for the effective diffusion of knowledge management systems
title_short A six-stage model for the effective diffusion of knowledge management systems
title_sort six-stage model for the effective diffusion of knowledge management systems
topic Knowledge management
Australia
Diffusion
Linear structure equation modelling
url http://hdl.handle.net/20.500.11937/36174