Indonesian Journal of Electrical Engineering and Computer Science
Vol 14, No 3: June 2019

A model of acceptance factors for business intelligence in manufacturing using theoretical models

Ernie Mazuin Mohd Yusof (Malaysian Institute of Industrial Technology)
Mohd Shahizan Othman (Universiti Teknologi Malaysia)
Lizawati Mi Yusuf (Universiti Teknologi Malaysia)
Shamini Raja Kumaran (Universiti Teknologi Malaysia)
Ahmad Rizal Mohd Yusof (Universiti Kebangsaan Malaysia)



Article Info

Publish Date
01 Jun 2019

Abstract

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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