Artificial Intelligence and Managerial Decision-Making: Advances, Challenges, and Future Perspectives

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.

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Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-05-08
DOI
https://doi.org/10.64388/irev9i11-1717326
Primary Topic
AI and HR Technologies
Type
article
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0.00
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article

Artificial Intelligence and Managerial Decision-Making: Advances, Challenges, and Future Perspectives

Anjita Khandelwal
Iconic Research and Engineering Journals
AI and HR Technologies
article

Artificial Intelligence and Managerial Decision-Making: Advances, Challenges, and Future Perspectives

Anjita Khandelwal
article en

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.

Iconic Research and Engineering JournalsVol. 9(11)
Jagannath University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
AI and HR Technologies
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Artificial Intelligence and Managerial Decision-Making: Advances, Challenges, and Future Perspectives — Anjita Khandelwal · Iconic Research and Engineering Journals (2026) | TGRS Research Map | TGRS