Digital transformation has emerged as a central imperative for organizations navigating the data-driven economy, fundamentally reshaping strategy, technology adoption, and organizational structures. This systematic and integrative review synthesizes peer-reviewed scholarship to examine how firms conceptualize digital transformation, pursue strategic renewal, implement digital technologies, and manage ensuing organizational changes. The analysis reveals that digital transformation is not merely technological upgrading but a multifaceted process involving strategic intent, capability reconfiguration, and structural redesign—often accompanied by significant tensions between legacy routines and emergent data-driven logics. Key insights trace the evolution of digital transformation research from early strategic framing toward more nuanced explorations of adoption barriers, managerial role shifts, and adaptive outcomes. Strategic drivers emphasize alignment with dynamic capabilities, while technology adoption processes underscore the interplay between implementation and business model innovation. Organizational change manifests in redesigned processes, cultures, and governance systems, yet persistent barriers such as cultural inertia and capability erosion hinder progress. To integrate these fragmented streams, this review introduces the Integrative Digital Transformation Framework, which maps interconnections across thematic layers and offers a structured lens for orchestrating sustainable transformation. By tracing temporal evolution and identifying theoretical gaps, this synthesis advances management scholarship and provides practitioners with actionable guidance for navigating digital transformation in data-driven enterprises.
Digital strategy has evolved from a narrow focus on technology adoption into a profound organizational transformation imperative for firms competing in data-centric economies. Despite substantial investments in digital tools, many organizations fail to achieve sustained competitive advantage because they treat digital initiatives as IT implementation projects rather than as catalysts for redesigning structures, routines, decision systems, and capabilities. This conceptual article argues that in environments where data serves as the primary coordination mechanism, strategic success depends on shifting from superficial digitization to deep organizational reconfiguration. Synthesizing insights from strategic management, organization theory, and digital transformation scholarship, the analysis first identifies the strategic limitations of technology-centric views, emphasizing organizational inertia, legacy tensions, and misalignments between traditional governance and data-driven logics. It then introduces an integrative framework—the Organizational Transformation Architecture—that comprises six interdependent elements: digital infrastructure, routine transformation, decision-system integration, capability reconfiguration, governance alignment, and continuous learning loops. This framework maps the progression from data integration to strategic outcomes while embedding feedback mechanisms that sustain ongoing adaptation. The article offers executives a practical roadmap for moving beyond adoption to achieve substantive transformation, demonstrating that competitive differentiation in data-centric economies arises not from technology per se but from the organizational redesign that surrounds it. Managerial implications center on leadership practices that align legacy structures with emerging digital logics, enabling firms to realize the full strategic potential of data as a core asset.
Institute for Management, Business, and Accounting Studies