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From Insights to Trust: A Review of AI-Driven Business Analytics Literature

Luchian Alina Cornelia (), Strat Vasile Alecsandru (), Jianu Ovidiu () and Dragoicea Monica ()
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Luchian Alina Cornelia: Bucharest University of Economic Studies, Bucharest, Romania
Strat Vasile Alecsandru: Bucharest University of Economic Studies, Bucharest, Romania
Jianu Ovidiu: POLITEHNICA Bucharest, Bucharest, Romania
Dragoicea Monica: POLITEHNICA Bucharest, Bucharest, Romania

Proceedings of the International Conference on Business Excellence, 2025, vol. 19, issue 1, 184-200

Abstract: This paper provides a comprehensive review of the application of artificial intelligence (AI) in business analytics (BA) with a focus on trust and transformative impacts. Employing topic modeling and PRISMA as methods for literature review, a thematic analysis of 61 academic articles published between 2019 and 2024 was conducted, uncovering key trends in trust, decision-making, data- driven processes, and AI-driven transformations. The study identifies five primary themes: the integration of AI in business intelligence and machine learning (ML); organizational strategies for innovation, the role of big data in education and skills development; methodological advancements in AI applications; customer adoption of AI-driven tools; and the broader implications of AI in Business Analytics. Sentiment analysis reveals predominantly positive perspectives on AI’s transformative potential, though challenges such as organizational resistance, skill gaps, and methodological limitations persist. This review highlights the critical need for interdisciplinary research to address these challenges and foster trust in AI-driven business analytics.

Keywords: business analytics; artificial intelligence; machine learning; trust; topic modelling; data-driven transformation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:poicbe:v:19:y:2025:i:1:p:184-200:n:1002

DOI: 10.2478/picbe-2025-0017

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