Knowledge management readiness index: multiple industries perspective
The objectives of this paper is to validate a common research instrument and a hypothesized research model to measure the readiness of organizational members to involve in Knowledge Management (KM) process in two different sectors; corporate sector and academic sector. Using the theory of reason...
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Online Access: | http://irep.iium.edu.my/68486/7/68486%20Knowledge%20Management%20Readiness%20Index.pdf http://irep.iium.edu.my/68486/13/68486_Knowledge%20management%20readiness%20index_SCOPUS.pdf http://irep.iium.edu.my/68486/ https://ieeexplore.ieee.org/document/8567136 |
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my.iium.irep.684862019-06-21T03:41:22Z http://irep.iium.edu.my/68486/ Knowledge management readiness index: multiple industries perspective Mohamed Razi, Mohamed Jalaldeen Mohd Tamrin, Mohd Izzuddin Ahmad Dahlan, Abdul Rahman Mohamad Ali, Noor Azian Habibullah, Md H Social Sciences (General) T Technology (General) The objectives of this paper is to validate a common research instrument and a hypothesized research model to measure the readiness of organizational members to involve in Knowledge Management (KM) process in two different sectors; corporate sector and academic sector. Using the theory of reason action and the theory of planned behavior a conceptual theoretical framework was developed and the related previous works help to operationalize the variables. Data were collected using a questionnaire from two different sectors; 156 academics from a Malaysian university and 74 corporate executives who are working in the IT field in Malaysia. Smartpls3 was used to analyze the data. Convergent validity was tested through factor loadings, composite reliability and average variance extracted while divergent validity was established through discriminant validity separately for each sector. Most of the items and variables meet the respective threshold values in both sectors. The path analysis confirmed that out of seven proposed hypotheses in this study, four are supported in both sectors; IT support, Performance Expectancy, and Effort Expectancy influence KM Intention, in turn, KM Intention influence KM Behavior. The influence of trust among colleagues on KM intention was supported only in the academic dataset. The implications of the findings are discussed at the end of the paper. IEEE 2018-12-10 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/68486/7/68486%20Knowledge%20Management%20Readiness%20Index.pdf application/pdf en http://irep.iium.edu.my/68486/13/68486_Knowledge%20management%20readiness%20index_SCOPUS.pdf Mohamed Razi, Mohamed Jalaldeen and Mohd Tamrin, Mohd Izzuddin and Ahmad Dahlan, Abdul Rahman and Mohamad Ali, Noor Azian and Habibullah, Md (2018) Knowledge management readiness index: multiple industries perspective. In: 2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M), 23rd-25th July 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8567136 10.1109/ICT4M.2018.00060 |
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H Social Sciences (General) T Technology (General) Mohamed Razi, Mohamed Jalaldeen Mohd Tamrin, Mohd Izzuddin Ahmad Dahlan, Abdul Rahman Mohamad Ali, Noor Azian Habibullah, Md Knowledge management readiness index: multiple industries perspective |
description |
The objectives of this paper is to validate a
common research instrument and a hypothesized research model
to measure the readiness of organizational members to involve in
Knowledge Management (KM) process in two different sectors;
corporate sector and academic sector. Using the theory of reason
action and the theory of planned behavior a conceptual
theoretical framework was developed and the related previous
works help to operationalize the variables. Data were collected
using a questionnaire from two different sectors; 156 academics
from a Malaysian university and 74 corporate executives who are
working in the IT field in Malaysia. Smartpls3 was used to
analyze the data. Convergent validity was tested through factor
loadings, composite reliability and average variance extracted
while divergent validity was established through discriminant
validity separately for each sector. Most of the items and
variables meet the respective threshold values in both sectors.
The path analysis confirmed that out of seven proposed
hypotheses in this study, four are supported in both sectors; IT
support, Performance Expectancy, and Effort Expectancy
influence KM Intention, in turn, KM Intention influence KM
Behavior. The influence of trust among colleagues on KM
intention was supported only in the academic dataset. The
implications of the findings are discussed at the end of the paper. |
format |
Conference or Workshop Item |
author |
Mohamed Razi, Mohamed Jalaldeen Mohd Tamrin, Mohd Izzuddin Ahmad Dahlan, Abdul Rahman Mohamad Ali, Noor Azian Habibullah, Md |
author_facet |
Mohamed Razi, Mohamed Jalaldeen Mohd Tamrin, Mohd Izzuddin Ahmad Dahlan, Abdul Rahman Mohamad Ali, Noor Azian Habibullah, Md |
author_sort |
Mohamed Razi, Mohamed Jalaldeen |
title |
Knowledge management readiness index: multiple industries perspective |
title_short |
Knowledge management readiness index: multiple industries perspective |
title_full |
Knowledge management readiness index: multiple industries perspective |
title_fullStr |
Knowledge management readiness index: multiple industries perspective |
title_full_unstemmed |
Knowledge management readiness index: multiple industries perspective |
title_sort |
knowledge management readiness index: multiple industries perspective |
publisher |
IEEE |
publishDate |
2018 |
url |
http://irep.iium.edu.my/68486/7/68486%20Knowledge%20Management%20Readiness%20Index.pdf http://irep.iium.edu.my/68486/13/68486_Knowledge%20management%20readiness%20index_SCOPUS.pdf http://irep.iium.edu.my/68486/ https://ieeexplore.ieee.org/document/8567136 |
_version_ |
1643619800283348992 |
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13.211869 |