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

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
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Volume 8 Issue 5
September-October 2026

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Human and Artificial Intelligence in Business Decision-Making: A Systematic Review of Comparative Effectiveness, Strategic Integration, and Organizational Outcomes

Author(s) Ms. Ahana Kohli
Country India
Abstract Artificial intelligence (AI) is increasingly transforming business decision-making by enabling organizations to process large volumes of data, identify patterns, generate predictions, and automate analytical tasks. However, AI does not possess all the contextual, creative, interpersonal, and ethical capabilities associated with human judgment. This systematic review examines the comparative effectiveness of human and AI decision-making and evaluates how their capabilities can be strategically integrated within organizations. Drawing on secondary literature across management, entrepreneurship, information systems, organizational behaviour, and related fields, the review compares human and AI decision-making in terms of speed, accuracy, consistency, creativity, risk assessment, ethical reasoning, adaptability, uncertainty management, and crisis decision-making. The findings indicate that AI demonstrates particular value in data-intensive, structured, repetitive, and pattern-based decisions, while human judgment remains important in ambiguous, complex, interpersonal, and ethically sensitive contexts. The literature further suggests that hybrid approaches, including human-in-the-loop and augmented intelligence models, can combine computational capabilities with human contextual judgment. The review also identifies challenges involving algorithmic bias, transparency, accountability, privacy, cybersecurity, workforce transformation, and organizational readiness. It concludes that effective AI adoption requires human-centered governance, appropriate oversight, workforce development, and carefully designed human–AI collaboration.
Keywords Artificial Intelligence; Business Decision-Making; Human–AI Collaboration; Strategic Management; Decision Intelligence; AI Governance; Organizational Outcomes
Published In Volume 8, Issue 5, September-October 2026
Published On 2026-09-30
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E-ISSN 2582-2160
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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