The decision optimization spectrum: Where algorithms meet human insight

Cheriyan, Vinod (2025) The decision optimization spectrum: Where algorithms meet human insight. World Journal of Advanced Research and Reviews, 26 (2). pp. 3117-3124. ISSN 2581-9615

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Abstract

This article examines the synergistic relationship between Operations Research (OR) models and human judgment in decision-making processes across diverse industries. It explores how algorithmic optimization provides data-driven foundations while human expertise contributes essential contextual knowledge and adaptability. The article demonstrates that organizations employing structured approaches to human-algorithm collaboration consistently outperform those relying exclusively on either computational or intuitive methods. We present frameworks for feedback loop systems, decision support interfaces, and override protocols that maximize the complementary strengths of both approaches. The article concludes with an examination of emerging technologies reshaping the OR-human judgment balance and identifies promising research directions in this rapidly evolving field.

Item Type: Article
Official URL: https://doi.org/10.30574/wjarr.2025.26.2.1979
Uncontrolled Keywords: Operations Research Integration; Human-Algorithm Collaboration; Decision Support Systems; Hybrid Optimization; Organizational Learning
Depositing User: Editor WJARR
Date Deposited: 20 Aug 2025 11:35
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/3358