In today's rapidly evolving business environment, the ability to make quality decisions is crucial for organizational growth and competitiveness. Consequently, organizations are increasingly turning to information technologies like big data and artificial intelligence. However, despite significant technological advancements and access to vast amounts of data, these initiatives frequently fall short in improving decision-making processes and thus failing to deliver tangible business value. This in effect calls for deeper investigation of the field of decision intelligence which looks decision making phenomena from both technological and organizational perspective. However, as the literature is highly fragmented, therefore the current study presents a bibliometric analysis of 997 journal articles published between 2014 and 2023, extracted from the Scopus database, with the purpose of mapping the field’s knowledge production, key contributors as well as identification of research hotspots in this interdisciplinary field of decision intelligence by using VOSViewer and Bibliometrix tools. Findings show over 40% annual growth in DI publications. Key identified clusters are technology utilization, decision-making frameworks, and AI integration, with major themes including data-driven decision-making, predictive analytics, and organizational performance. Despite some limitations, such as using a single database, this study has significant implications for understanding the field’s development and identification of potential for future research directions.
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