HYBRID STRATEGIC DECISION-MAKING: THE SYNERGY BETWEEN EXPERT JUDGMENT AND AI SYSTEM RECOMMENDATIONS

The study examines the transformation of organizational management through the integration of Artificial Intelligence (AI) and human expertise. It demonstrates that hybrid decision-making systems outperform purely human or purely algorithmic approaches by leveraging the mechanisms of cognitive complementarity and distributed cognition. The analysis identifies key success factors, including Explainable AI (XAI), the proper calibration of trust, and overcoming challenges such as automation bias. It also explores the implementation of collaborative frameworks across sectors like finance and operations management. The primary conclusion is that strategic effectiveness does not depend on choosing between human or machine intelligence, but rather on designing architectures that utilize the specific cognitive capital of both agents. Success lies in the systematic integration of their complementary roles.

Publication Details

Journal
Journal of Management Sciences and Applications
Published
2025-12-22
DOI
https://doi.org/10.37075/jomsa.2025.2.01
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

HYBRID STRATEGIC DECISION-MAKING: THE SYNERGY BETWEEN EXPERT JUDGMENT AND AI SYSTEM RECOMMENDATIONS

Journal of Management Sciences and Applications
Explainable Artificial Intelligence (XAI)
article

HYBRID STRATEGIC DECISION-MAKING: THE SYNERGY BETWEEN EXPERT JUDGMENT AND AI SYSTEM RECOMMENDATIONS

article en

Abstract

The study examines the transformation of organizational management through the integration of Artificial Intelligence (AI) and human expertise. It demonstrates that hybrid decision-making systems outperform purely human or purely algorithmic approaches by leveraging the mechanisms of cognitive complementarity and distributed cognition. The analysis identifies key success factors, including Explainable AI (XAI), the proper calibration of trust, and overcoming challenges such as automation bias. It also explores the implementation of collaborative frameworks across sectors like finance and operations management. The primary conclusion is that strategic effectiveness does not depend on choosing between human or machine intelligence, but rather on designing architectures that utilize the specific cognitive capital of both agents. Success lies in the systematic integration of their complementary roles.

Journal of Management Sciences and ApplicationsVol. 4(2)
Peace, Justice and strong institutions
Openalex Percentile: Top 19%
Explainable Artificial Intelligence (XAI)
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