Indonesian Journal of Electrical Engineering and Computer Science Vol. 14, No. 3, June 2019, pp. 1544~1551 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v14.i3.pp1544-1551  1544 Journal homepage: http://iaescore.com/journals/index.php/ijeecs A model of acceptance factors for business intelligence in manufacturing using theoretical models Ernie Mazuin Mohd Yusof 1 , Mohd Shahizan Othman 2 , Lizawati Mi Yusuf 3 , Shamini Raja Kumaran 4 , Ahmad Rizal Mohd Yusof 5 1 Universiti Kuala Lumpur, Malaysian Institute of Industrial Technology, Malaysia 2,3,4 School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Malaysia 5 Institute of Ethnic Studies, Universiti Kebangsaan Malaysia, Malaysia Article Info ABSTRACT Article history: Received Dec 14, 2018 Revised Feb 15, 2019 Accepted Feb 27, 2019 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. Keywords: Acceptance factors Business intelligence Continuance Manufacturing Theoretical model Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Mohd Shahizan Othman, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia. Email: shahizan@utm.my 1. INTRODUCTION Business Intelligence (BI) is claimed to overcome manufacturing problems as it is widely used in the manufacturing industry with the advantage of transforming plenty of data into information and knowledge [1]. With BI, information that came from tedious reports and spreadsheets are able to be turned into a single view and in real-time operational data [1]. The study by Shollo (2013) also claimed that the information presented and consolidated using BI is able to foresee the future trend, thus would enable the organization to plan its operation effectively. The future data that is able to be forecasted are the monthly delivery requirements and the operational data that is real-time and in a single view. The top management team from the large number of firms support and provide resources for implementing new technologies that cover many business processes in the firms such as process management, IT governance, regulatory comliance and many others [2]. This implementation will help them to achieve their business goals, make decisions and allocate resources. Thus, investing on the BI systems are one of the initiatives taken by more and more firms now. They are useful in generating information to analyze data extensively, eventually facilitating the firms to decide on proper actions to be taken [3].