What is Strategic Decision Making and Strategic Decision Practices in Intelligent Organizations
Purpose: This study aims to conceptualize strategic decision making and examine the nature of strategic decision practices within intelligent organizations. It seeks to clarify how intelligent organizations design, support, and institutionalize strategic decisions in increasingly complex and dynamic environments. Design/Methodology/Approach: The paper adopts a conceptual and integrative approach, drawing from the strategic management, organizational theory, and decision sciences literature. It synthesizes theoretical perspectives on intelligence, learning, analytics, and governance to build a structured framework for understanding strategic decision processes and practices in intelligent organizations. Findings: The study distinguishes between strategic decision making as a cognitive–analytical process and strategic decision practices as the structured organizational routines, tools, and governance mechanisms that enable high-quality strategic choices. Intelligent organizations are characterized by data-driven insights, adaptive learning systems, cross-functional integration, digital decision support tools, and feedback-oriented governance. The findings suggest that strategic decision practices in intelligent organizations move beyond intuition-based models toward hybrid models integrating analytics, artificial intelligence, and human judgment. Practical Implications: The proposed framework provides managers with guidance on designing strategic decision architectures that enhance responsiveness, resilience, and long-term value creation. Organizations can improve decision quality by institutionalizing structured evaluation mechanisms, fostering knowledge integration, and leveraging digital intelligence systems. Originality/Value: This study contributes to the literature by clearly differentiating strategic decision making from strategic decision practices and positioning intelligent organizations as a distinct context where advanced analytics, learning capabilities, and adaptive governance reshape traditional strategy processes. It offers a comprehensive conceptual foundation for future empirical research on intelligent strategic systems.