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Digital transformation (DT) represents a fundamental rewiring of organizational structure, strategy, and culture, driven by the pervasive integration of digital technologies. While the technical dimensions of this shift are well-documented, the leadership capabilities required to successfully navigate it remain a critical yet fragmented area of study. This paper addresses this gap by synthesizing existing research and proposing a series of novel theoretical frameworks to articulate the unique demands of digital transformation leadership. We argue that effective DT leadership is defined by the capacity to manage a series of inherent paradoxes, not by adopting a single, prescriptive style. We introduce the Triadic Leadership Paradox Model, which posits that leaders must simultaneously navigate the tensions between (1) technical fluency and strategic abstraction, (2) disruptive innovation and operational continuity, and (3) individual empowerment and systemic control. Central to this is the development of Adaptive Complexity, a meta-competency enabling leaders to operate with high levels of cognitive and behavioral fluidity. Furthermore, we reconceptualize employee resistance not as a barrier to be overcome, but as a form of organizational intelligence. Our Resistance Topology Framework offers a diagnostic tool for leaders to interpret resistance as a signal of systemic misalignment. We also propose a Cultural Architecture Model, moving beyond the notion of culture as an emergent property to a view of it as a deliberately designed sociotechnical system. Finally, we introduce the concepts of Leadership Role Fluidity and the Competency Portfolio Phase Alignment Model to provide a dynamic understanding of how leadership roles and competencies must evolve over the course of a transformation initiative. This paper contributes a more nuanced, critical, and actionable understanding of digital transformation leadership, offering a robust theoretical foundation for future empirical research and a guide for practitioners navigating the complexities of fundamental digital change.
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Kwan Hong Tan (2026) studied this question.
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