A model of acceptance factors for business intelligence in manufacturing using theoretical models
Manufacturing organizations implemented Business Intelligence (BI) due to many advantages offered by it. The lack of research on the acceptance of BI in manufacturing motivates the initiative in this study to have an understanding of the factors that influence the acceptance of BI in manufacturing s...
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Institute of Advanced Engineering and Science
2019
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Online Access: | http://eprints.utm.my/id/eprint/88898/1/MohdShahizanOthman2019_AModelofAcceptanceFactorsforBusinessIntelligence.pdf http://eprints.utm.my/id/eprint/88898/ http://www.dx.doi.org/10.11591/ijeecs.v14.i3.pp1544-1551 |
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my.utm.888982020-12-29T04:42:40Z http://eprints.utm.my/id/eprint/88898/ A model of acceptance factors for business intelligence in manufacturing using theoretical models Yusof, E. M. M. Othman, M. S. Yusuf, L. M. Kumaran, S. R. Yusof, A. R. M. QA75 Electronic computers. Computer science Manufacturing organizations implemented Business Intelligence (BI) due to many advantages offered by it. The lack of research on the acceptance of BI in manufacturing motivates the initiative in this study to have an understanding of the factors that influence the acceptance of BI in manufacturing sector. Therefore, the research proposes a model which indicates the acceptance factors of BI in manufacturing. An integrated model consisting of underlying models of Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT) and Task-Technology Fit (TTF) will be developed. The new model will formulate 19 hypotheses and 11 factors contributing to the continuance and acceptance of BI. The model will be tested using quantitative and qualitative survey conducted to Malaysian manufacturing companies and validated using Structural Equation Modelling (SEM) to investigate the causal and mediating relationships between the factors. The expected result is hoping to suggest that selected factors in the model are positively related towards the acceptance of BI in manufacturing. The results are also hoping to guide future initiatives by industrial practitioners to develop and distribute BI to the manufacturing market. Institute of Advanced Engineering and Science 2019-06 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/88898/1/MohdShahizanOthman2019_AModelofAcceptanceFactorsforBusinessIntelligence.pdf Yusof, E. M. M. and Othman, M. S. and Yusuf, L. M. and Kumaran, S. R. and Yusof, A. R. M. (2019) A model of acceptance factors for business intelligence in manufacturing using theoretical models. Indonesian Journal of Electrical Engineering and Computer Science, 14 (3). ISSN 2502-4752 http://www.dx.doi.org/10.11591/ijeecs.v14.i3.pp1544-1551 DOI: 10.11591/ijeecs.v14.i3.pp1544-1551 |
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QA75 Electronic computers. Computer science Yusof, E. M. M. Othman, M. S. Yusuf, L. M. Kumaran, S. R. Yusof, A. R. M. A model of acceptance factors for business intelligence in manufacturing using theoretical models |
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Manufacturing organizations implemented Business Intelligence (BI) due to many advantages offered by it. The lack of research on the acceptance of BI in manufacturing motivates the initiative in this study to have an understanding of the factors that influence the acceptance of BI in manufacturing sector. Therefore, the research proposes a model which indicates the acceptance factors of BI in manufacturing. An integrated model consisting of underlying models of Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT) and Task-Technology Fit (TTF) will be developed. The new model will formulate 19 hypotheses and 11 factors contributing to the continuance and acceptance of BI. The model will be tested using quantitative and qualitative survey conducted to Malaysian manufacturing companies and validated using Structural Equation Modelling (SEM) to investigate the causal and mediating relationships between the factors. The expected result is hoping to suggest that selected factors in the model are positively related towards the acceptance of BI in manufacturing. The results are also hoping to guide future initiatives by industrial practitioners to develop and distribute BI to the manufacturing market. |
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Article |
author |
Yusof, E. M. M. Othman, M. S. Yusuf, L. M. Kumaran, S. R. Yusof, A. R. M. |
author_facet |
Yusof, E. M. M. Othman, M. S. Yusuf, L. M. Kumaran, S. R. Yusof, A. R. M. |
author_sort |
Yusof, E. M. M. |
title |
A model of acceptance factors for business intelligence in manufacturing using theoretical models |
title_short |
A model of acceptance factors for business intelligence in manufacturing using theoretical models |
title_full |
A model of acceptance factors for business intelligence in manufacturing using theoretical models |
title_fullStr |
A model of acceptance factors for business intelligence in manufacturing using theoretical models |
title_full_unstemmed |
A model of acceptance factors for business intelligence in manufacturing using theoretical models |
title_sort |
model of acceptance factors for business intelligence in manufacturing using theoretical models |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2019 |
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http://eprints.utm.my/id/eprint/88898/1/MohdShahizanOthman2019_AModelofAcceptanceFactorsforBusinessIntelligence.pdf http://eprints.utm.my/id/eprint/88898/ http://www.dx.doi.org/10.11591/ijeecs.v14.i3.pp1544-1551 |
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13.18916 |