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