Business Intelligence and Decision Making: A Bibliometric Analysis
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Authors
Neelam Kaushal
Chaudhary Charan Singh Haryana Agricultural University
Keywords:
Business Intelligence, Decision Making, Big Data Analytics, Data Mining, Artificial Intelligence, Bibliometric AnalysisAbstract
The rapid advancement of information and communication technologies fuelled the exponential growth of digitized data, creating new opportunities for research in Big Data Analytics (BDA) and Business Intelligence (BI). This study provided a bibliometric analysis of academic research on the intersection of business intelligence and decision making, drawing on data from the Scopus database between 2010 and January 2025. Using bibliometric tools such as Bibliometrix (R) and Excel, the study examined descriptive analysis and thematic developments. Results revealed that the number of publications had grown significantly since 2013, with Decision Support Systems and related journals serving as primary outlets. Key contributors in this arena included Arnott, Rouhani, and Hou, with the University of Tehran emerging as a leading institution. The United States ranked highest in total citations, while Belgium led in average annual citations. Thematic mapping indicated that data mining, decision makers, and commerce were central “motor themes,” while competitive advantage and management systems remained niche topics. Findings confirmed the strategic importance of it in enabling effective decision-making and highlighted emerging research trends in BD, AI, and knowledge management.
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