Decision Intelligence for Sustainable Business: A Strategic Framework Integrating Artificial Intelligence, Human Judgment, and Strategic Management

Authors

  • Mohamed Ibrahim Hassan Farag Department of Business Administration, Military College of Management Sciences, Capital University, Egypt; Department of Political Science Faculty of Economics and Political Science, Cairo University, Egypt. https://orcid.org/0009-0004-4989-9261 Author

DOI:

https://doi.org/10.59543/k1e7d314

Keywords:

Decision Intelligence; Artificial Intelligence; Strategic Management; Strategic Decision-Making; Sustainable Business; Human Judgment; Knowledge Integration; Sustainability Governance.

Abstract

Artificial intelligence (AI) is transforming organizational decision-making by improving analytical capabilities and supporting data-driven strategic decisions. However, existing research remains fragmented across artificial intelligence, strategic management, business analytics, and sustainability, providing limited theoretical integration of these perspectives. This conceptual study addresses this gap by proposing Decision Intelligence for Sustainable Business (DISB) as a dynamic organizational capability that integrates artificial intelligence, human judgment, knowledge integration, strategic management, and sustainability governance within a unified decision framework. Using a systematic conceptual methodology and interdisciplinary theory synthesis, the study develops an integrated framework supported by the Resource-Based View, Dynamic Capabilities, the Knowledge-Based View, Organizational Information Processing Theory, Socio-Technical Systems Theory, and Stakeholder Theory. The framework identifies five interrelated capabilities and explains how their interaction enhances strategic decision quality, organizational adaptability, and sustainable value creation. In addition, the study develops an operational decision cycle and eight theoretical propositions to guide future empirical research. The proposed framework contributes to the literature by clarifying the conceptual boundaries of Decision Intelligence, integrating sustainability into strategic decision-making, and extending current technology-centered perspectives. It also provides managers with a structured approach for combining intelligent technologies, organizational capabilities, and responsible governance to improve long-term organizational performance and resilience. Finally, the study outlines a future research agenda for validating and extending the proposed framework across different organizational contexts.

Author Biography

  • Mohamed Ibrahim Hassan Farag, Department of Business Administration, Military College of Management Sciences, Capital University, Egypt; Department of Political Science Faculty of Economics and Political Science, Cairo University, Egypt. https://orcid.org/0009-0004-4989-9261

    Mohamed Ibrahim Hassan Farag holds a Ph.D. in Political Science from the Faculty of Economics and Political Science, Cairo University, and a Doctorate in Business Administration from the Military College of Management Sciences, Capital University. He specializes in comparative politics, security studies, foreign policy analysis, strategic governance, and international relations. His research focuses on regional security, strategic decision-making, digital diplomacy, cyber power, emerging technologies, and great power politics, with particular emphasis on the Middle East and North Africa (MENA) region. He has published extensively in national and international peer-reviewed journals and has received advanced training in strategy, national security, crisis management, negotiation, and political analysis.

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Published

2026-09-11

How to Cite

Farag, M. I. H. (2026). Decision Intelligence for Sustainable Business: A Strategic Framework Integrating Artificial Intelligence, Human Judgment, and Strategic Management. Applied Expert Systems and Knowledge Management, 1, 185-225. https://doi.org/10.59543/k1e7d314

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Section

Articles