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Artificial Intelligence and Managerial Decision-Making: Advances, Challenges, and Future Perspectives
Subject area: Management and Commerce · Area of research: Finance, Entrepreneurship, General Management
DOI: https://doi.org/10.64388/IREV9I11-1717326
Abstract
Artificial Intelligence (AI) has emerged as a transformative force in modern science and technology, significantly reshaping managerial decision-making processes across industries. AI technologies such as machine learning, natural language processing, and predictive analytics enable organizations to process large volumes of data, enhance decision accuracy, and improve operational efficiency. This chapter examines the role of AI in managerial decision-making, focusing on its applications, benefits, and challenges. It also highlights emerging concerns such as data privacy, algorithmic bias, and workforce adaptation. Furthermore, the chapter explores future perspectives, emphasizing human-AI collaboration and explainable AI systems. By integrating recent scholarly contributions (2023–2026), this study provides a comprehensive understanding of how AI is transforming decision-making paradigms in contemporary organizations.
Keywords
Artificial Intelligence; Managerial Decision Making; Decision Support System, Business Intelligence
How to cite this paper
@article{1717326,
author = {Anjita Khandelwal},
title = {Artificial Intelligence and Managerial Decision-Making: Advances, Challenges, and Future Perspectives},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {11},
pages = {693-697},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1717326.pdf},
abstract = {Artificial Intelligence (AI) has emerged as a transformative force in modern science and technology, significantly reshaping managerial decision-making processes across industries. AI technologies such as machine learning, natural language processing, and predictive analytics enable organizations to process large volumes of data, enhance decision accuracy, and improve operational efficiency. This chapter examines the role of AI in managerial decision-making, focusing on its applications, benefits, and challenges. It also highlights emerging concerns such as data privacy, algorithmic bias, and workforce adaptation. Furthermore, the chapter explores future perspectives, emphasizing human-AI collaboration and explainable AI systems. By integrating recent scholarly contributions (2023–2026), this study provides a comprehensive understanding of how AI is transforming decision-making paradigms in contemporary organizations.},
keywords = {Artificial Intelligence; Managerial Decision Making; Decision Support System, Business Intelligence},
month = {May},
doi = {https://doi.org/10.64388/IREV9I11-1717326}
}