BUSINESS INTELLIGENCE SYSTEM ADOPTION: A SYSTEMATIC LITERATURE REVIEW OF TWO DECADES

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 highly competitive business environment and play an important role in determining a business organization’s success. However, 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. Prior research studies paid less attention in a 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 the 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.