Tashkent State Medical University, Department of Biomedical Engineering, Informatics, and Biophysics Senior Lecturer

This study examines the organizational, economic, and strategic implications of integrating artificial intelligence into business decision-making processes. Using a conceptual research approach based on comparative analysis, systematic literature synthesis, and theoretical modeling, the study investigates the relationships among AI capabilities, decision quality, organizational readiness, and competitive advantage. The research develops an integrated human–AI decision-making framework that combines strategic alignment, data governance, algorithmic analysis, managerial oversight, and performance evaluation. The proposed framework offers a methodological foundation for improving managerial efficiency, strengthening organizational adaptability, and managing the economic and ethical risks associated with AI-supported business decisions

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Publication Details

Journal
Global Scientific Review
Published
2026-11-03
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
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article

Tashkent State Medical University, Department of Biomedical Engineering, Informatics, and Biophysics Senior Lecturer

Zuvaydullaev Nematullo Oybek ogli
Global Scientific Review
Artificial Intelligence Applications
article

Tashkent State Medical University, Department of Biomedical Engineering, Informatics, and Biophysics Senior Lecturer

Zuvaydullaev Nematullo Oybek ogli
article en

Abstract

This study examines the organizational, economic, and strategic implications of integrating artificial intelligence into business decision-making processes. Using a conceptual research approach based on comparative analysis, systematic literature synthesis, and theoretical modeling, the study investigates the relationships among AI capabilities, decision quality, organizational readiness, and competitive advantage. The research develops an integrated human–AI decision-making framework that combines strategic alignment, data governance, algorithmic analysis, managerial oversight, and performance evaluation. The proposed framework offers a methodological foundation for improving managerial efficiency, strengthening organizational adaptability, and managing the economic and ethical risks associated with AI-supported business decisions

Global Scientific Review
Openalex Percentile: Top 16%
Artificial Intelligence Applications
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