International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 5
September-October 2026

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AI-Driven Decision Intelligence in Strategic Business Decision-Making: A Narrative Review Integrating Predictive Analytics, Generative AI, and Prescriptive Optimization

Author(s) Taha Mandviwala, Mustafa Soniwala
Country United States
Abstract Artificial Intelligence is becoming increasingly important for strategic decision-making, but the research literature on predictive analytics, generative AI, and prescriptive optimization is scattered. They have evolved independently and there are limited studies on how they can operate in concert in an integrated decision architecture. This paper aims to fill that gap in the literature in a narrative review of the 34 peer-reviewed sources. The review identifies that the interfaces between the three streams are real but weak, and each interface poses a translation challenge that cannot be addressed through technical solutions. The effort of integrating was met with three tensions: epistemic authority, governance and accountability, and organizational capability. To address this, the paper suggests a decision intelligence framework that aligns the three streams to be complementary capabilities in a sequenced decision journey. The framework treats governance and the organizational setting as operating together as one, separating this model from already existing models that operate on the separation of technical from organizational matters.
Keywords Decision intelligence; predictive analytics; generative AI; prescriptive optimization; strategic decision-making; narrative review
Field Sociology
Published In Volume 8, Issue 5, September-October 2026
Published On 2026-10-16
DOI https://doi.org/10.36948/ijfmr.2026.v08i05.88380
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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