International Journal of Computational Intelligence Systems

Volume 12, Issue 2, 2019, Pages 1585 - 1591

Strategic Management of Organizational Knowledge and Employee's Awareness About Artificial Intelligence With Mediating Effect of Learning Climate

Authors
Mohammed Majdy M. Baslom1, 2, *, Shu Tong3
1 Business School, Hunan University, Changsha, P. R. China
2 Ministry of Education, Riyadh, Kingdom of Saudi Arabia
3 Business School, Hunan University, Changsha, P. R. China
*Corresponding author. Email: baslommajdy@gmail.com
Corresponding Author
Mohammed Majdy M. Baslom
Received 23 June 2019, Accepted 14 August 2019, Available Online 12 November 2019.
DOI
https://doi.org/10.2991/ijcis.d.191025.002How to use a DOI?
Keywords
Strategic knowledge management, Artificial intelligence, Learning climate, Confirmatory Factor Analysis, Structural Equation Modeling
Abstract

This study has aimed to examine the empirically relationship between strategic management of organizational knowledge and awareness about artificial intelligence (AI) through mediating effect of learning climate in service sector of Saudi Arabia. For better understanding, a structural questionnaire was developed, and both questionnaire and interview techniques were applied to collect the data from targeted respondents. Statistical methods like confirmatory factor analysis, structural equation modeling and mediation technique were applied to check the direct and indirect effects with overall valid responses of 390. Findings under factor analysis specify that all the indicators of strategic management of knowledge, learning climate and awareness about AI have demonstrated good factor loadings. Additionally, results under structural equation model for strategic management of knowledge and awareness about AI indicates that knowledge acquisition, knowledge dissemination and knowledge responsiveness have their significant and positive relationship with AI awareness. While mediating effect of learning climate (LC), shows that relationship between knowledge acquisition and AI, between knowledge dissemination and AI is significantly mediated by LC under full sample. While mediating effect of LC between knowledge responsiveness and AI is not significant. In addition, practical implications of this study reveals the fact that management in all three layers of the business firms should consider these findings and positive role by learning climate to promote awareness about AI. However, this study has observed several limitations. At first overall impact of strategic management of knowledge is yet to be explored as this study has examined its impact through knowledge acquisition, dissemination, and responsiveness factors under sperate models. At second, study has a regional limitations and specific organizational implications only for the service sector is observed. At third, earlier studies have raised serious concern over data collection through questionnaire as it covers only one dimensions of employee's attitude. Other instruments like open ended non-structural interview should be reconsidered in more significant manner. Future studies could be reimplemented on similar topic while addressing these limitations.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
1585 - 1591
Publication Date
2019/11
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.d.191025.002How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Mohammed Majdy M. Baslom
AU  - Shu Tong
PY  - 2019
DA  - 2019/11
TI  - Strategic Management of Organizational Knowledge and Employee's Awareness About Artificial Intelligence With Mediating Effect of Learning Climate
JO  - International Journal of Computational Intelligence Systems
SP  - 1585
EP  - 1591
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.191025.002
DO  - https://doi.org/10.2991/ijcis.d.191025.002
ID  - Baslom2019
ER  -