INTERNATIONAL JOURNAL OF INDUSTRIAL MANAGEMENT (IJIM) ISSN: 2289-9286 e-ISSN: 0127-564X VOL.6, ISSUE1,1 –8 DOI: https://doi.org/10.15282/ijim.6.0.2020.5624 *CORRESPONDING AUTHOR | C. T. Wong | wongchitin@student.usm.my 1 © UMP Press ORIGINAL ARTICLE BUSINESS INTELLIGENCE SYSTEM ADOPTION: A SYSTEMATIC LITERATURE REVIEW OF TWO DECADES Chi Tin Wong 1* , Cheng Ling Tan 1 and Imran Mahmud 2 1 Graduate School of Business, Universiti Sains Malaysia, Penang, Malaysia 2 Department of Information Technology & Management, Daffodil International University, Bangladesh ARTICLE HISTORY Received:13-4-2020 Accepted:3-6-2020 KEYWORDS Systematic literature review Business intelligence system Adoption Adoption intention BI INTRODUCTION The rapid development of Artificial Intelligence (AI) in recent years has greatly improved humans’ quality of life and promoted Information Systems (IS) development progress. Business Intelligence (BI) system is one of the tools in the field of IS which obtained benefits from the development of AI (Torres et al., 2018). It is equipped with different latest intelligence algorithms that allow decision-makers to convert data into useful information to support the decision made, make a decision in a short period of time, and enhance the correctness of the decision made when comparing to the old days (Popovic et al., 2019). Therefore, the adoption of BI can enhance the competitive aspect of a business organization in today’s highly competitive business environment and it plays an important role in determining a business organization’s success. However, the literature shows that the adoption rate of the BI system is low and it is predicted that the adoption rate will not increase a lot in near future (Dresner Advisory Services, 2017; Dresner Advisory Services, 2018). Prior research studies paid less attention to a comprehensive study that review research articles related to BI system adoption in regard to discuss the issues and research gaps (Richards et al., 2019; Lautenbach et al., 2017; Foshay et al., 2014). There is an absence of a clear agenda or roadmap in the research area of BI adoption. Therefore, this study aims to synthesize and analyze research studies of BI adoption in the past two decades, identify the major theories that researchers have used to predict the adoption of BI, and summarize key antecedents that influence the adoption of BI. REVIEW METHODOLOGY This study reviewed the literature on the adoption of BI between the year 2000 and the first quarter of 2020 from various databases such as Science Direct, IEEE Xplore, Taylor & Francis Online, Emerald insight, EBSCOhost, JSTOR Archive, ProQuest, Web of Science, Wiley Online Library, Springer-Link and Sage Journal with the keywords “Business Intelligence”, “Business Intelligence system”, “BI”, “Business Intelligence adoption”, “use of Business Intelligence”, “adoption intention” and “acceptance”. Scopus and Google Scholar search engines were also adopted in order to ensure wide coverage of publications. Research studies related to BI adoption and adoption intention were both included because behavior intention and its predictors have an influence on the actual adoption, and the intention is one of the antecedents that influence adoption. This study considered different types of English language publications (working papers, conference papers, and peer-reviewed journal publications). There is a total of 96 articles related to the BI adoption ABSTRACT – The rapid development of Artificial Intelligence (AI) in recent years has greatly improved humans’ quality of life and promoted Information Systems (IS) development progress. Business Intelligence (BI) system is one of the tools in the field of IS which obtained benefits from the development of AI. The adoption of BI can enhance the competitive aspect of a business organization in today’s high competitive business environment and play an important role in determining a business organization’s success. However, literature shows that the adoption rate of BI system is low and it is predicted that the adoption rate will not increase a lot in near future. Prior research studies paid less attention in comprehensive study that review research articles related to BI system adoption in regard to discuss the issues and research gaps. There is an absence of a clear agenda or roadmap in the research area of BI adoption. Therefore, this study aims to synthesize and analyze research studies of BI adoption in the past two decades, identify the major theories that researchers have used to predict the adoption of BI, and summarize key antecedents that influence the adoption of BI. This study reviewed 44 research articles published on the adoption of BI between the year 2000 and the first quarter of 2020. The findings first indicate that the analysis of BI adoption literature is not comprehensive enough. Researchers in the past two decades commonly rely on TAM and its modifications to measure the adoption of BI. The finding also indicates that there are limited research studies on negative stimulus of BI adoption. This study proposes the agenda for continued research in the area of BI adoption that targets identified gaps in the literature.