Reconceptualizing Leadership for Smart Organizations: A Review-Based Framework for the Next Generation of Management Systems
Keywords:
smart organizations, digital leadership, management systems, artificial intelligence, qualitative research, leadership framework, adaptive governance.Abstract
This study aimed to develop a review-informed qualitative framework for reconceptualizing leadership in smart organizations and next-generation management systems. The study adopted an exploratory qualitative design grounded in prior literature on digital transformation, complexity leadership, dynamic capabilities, smart organizations, and digital leadership. Data were collected through semi-structured interviews with 24 experts, senior managers, digital transformation consultants, and organizational development specialists working in Tehran-based technology-intensive, knowledge-based, and digitally transforming organizations. Participants were selected through purposive and snowball sampling based on their direct experience with smart management systems, artificial intelligence-enabled decision-making, digital transformation, or leadership development. Interviews continued until theoretical saturation was reached after the twenty-first interview, and three additional interviews were conducted to confirm conceptual adequacy. Data were transcribed, coded, and analyzed using thematic analysis supported by NVivo software. Open coding, axial categorization, constant comparison, peer checking, and member validation were used to enhance analytical rigor. The analysis generated five main categories: intelligent strategic sensemaking, data-informed adaptive governance, human-centered digital capability orchestration, ecosystem and platform-based leadership, and ethical-resilient learning architecture. The findings indicated that leadership in smart organizations is not limited to individual influence, hierarchical authority, or digital literacy; rather, it functions as a distributed, data-sensitive, ethically grounded, and learning-oriented capability embedded across organizational systems. Participants emphasized that smart organizations require leaders who can translate algorithmic insight into strategic judgment, align human and machine intelligence, redesign governance routines for speed and accountability, and cultivate trust in digitally mediated work environments. The proposed framework suggests that next-generation leadership should be understood as an integrative management-system capability that connects intelligence, adaptability, human agency, ecosystem coordination, and ethical resilience. This reconceptualization contributes to leadership theory by shifting attention from leader traits toward systemic leadership functions required in smart organizations.
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