Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach

This study investigates the factors influencing the adoption and diffusion of knowledge management systems in Western Australia. The study uses a mixed methodology approach. The research was carried out in three stages: field study, pilot survey, and state survey (top 300 companies). The data of the...

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Main Authors: Xu, Jun, Quaddus, Mohammed
Format: Journal Article
Published: Elsevier BV 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/22518
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author Xu, Jun
Quaddus, Mohammed
author_facet Xu, Jun
Quaddus, Mohammed
author_sort Xu, Jun
building Curtin Institutional Repository
collection Online Access
description This study investigates the factors influencing the adoption and diffusion of knowledge management systems in Western Australia. The study uses a mixed methodology approach. The research was carried out in three stages: field study, pilot survey, and state survey (top 300 companies). The data of the survey in Western Australia was analyzed through Partial Least Square approach. Results indicate that “individual factors”, “external inspiring”, “organizational factors” and “task complexity” are the significant factors which influence the “perceived usefulness” of knowledge management systems, which in turn significantly influences the “intention” to adopt knowledge management systems and the diffusion process. Some unexpected results are also revealed. The results provide practical suggestions to those companies who are embarking on the adoption and diffusion of knowledge management systems in Australia or elsewhere.
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institution Curtin University Malaysia
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publishDate 2012
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spelling curtin-20.500.11937-225182017-09-13T15:57:06Z Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach Xu, Jun Quaddus, Mohammed Adoption and diffusion Knowledge management Quantitative method Knowledge management systems Partial Least Square This study investigates the factors influencing the adoption and diffusion of knowledge management systems in Western Australia. The study uses a mixed methodology approach. The research was carried out in three stages: field study, pilot survey, and state survey (top 300 companies). The data of the survey in Western Australia was analyzed through Partial Least Square approach. Results indicate that “individual factors”, “external inspiring”, “organizational factors” and “task complexity” are the significant factors which influence the “perceived usefulness” of knowledge management systems, which in turn significantly influences the “intention” to adopt knowledge management systems and the diffusion process. Some unexpected results are also revealed. The results provide practical suggestions to those companies who are embarking on the adoption and diffusion of knowledge management systems in Australia or elsewhere. 2012 Journal Article http://hdl.handle.net/20.500.11937/22518 10.1016/j.knosys.2011.10.003 Elsevier BV restricted
spellingShingle Adoption and diffusion
Knowledge management
Quantitative method
Knowledge management systems
Partial Least Square
Xu, Jun
Quaddus, Mohammed
Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach
title Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach
title_full Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach
title_fullStr Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach
title_full_unstemmed Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach
title_short Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach
title_sort examining a model of knowledge management systems adoption and diffusion: a partial least square approach
topic Adoption and diffusion
Knowledge management
Quantitative method
Knowledge management systems
Partial Least Square
url http://hdl.handle.net/20.500.11937/22518