Platform-based competition has fundamentally transformed competitive dynamics in digital markets by shifting the locus of rivalry from firm-level products to multi-sided ecosystems sustained by network effects and orchestrated participation. This integrative review synthesizes theoretical and empirical insights from peer-reviewed scholarship to examine how digital marketplaces, network externalities, and ecosystem strategies reshape value creation, competitive advantage, and strategic positioning. Early foundations in two-sided market theory established the centrality of cross-side and same-side network effects in driving platform scale and winner-take-most outcomes. Subsequent scholarship advanced understanding of platform envelopment, multihoming, complementor dynamics, and governance tensions between openness and control. The review identifies persistent strategic paradoxes: platforms must simultaneously encourage generativity to fuel innovation while safeguarding value appropriation and architectural integrity. By organizing the literature into a conceptual synthesis, the paper illuminates the interdependent layers through which platform leaders coordinate users and complementors, navigate openness-control trade-offs, and evolve in response to competitive feedback. Contributions include bridging fragmented perspectives across strategy, information systems, and economics, highlighting the temporal evolution from network effects to ecosystem orchestration, and delineating future research directions for platform evolution amid rapid technological change and regulatory scrutiny. The analysis underscores that sustainable competitive advantage in platform markets derives less from proprietary assets than from dynamic capabilities in governance, orchestration, and adaptive ecosystem design.
Management research has increasingly recognized data as a critical organizational resource, yet its precise theoretical status remains fragmented across competing scholarly traditions. This narrative review examines how the literature conceptualizes data’s role in strategy, capability development, and competitive advantage, focusing on the transition from raw data to strategic value. We synthesize key theoretical perspectives, including the resource-based view, dynamic capabilities, information processing theory, and organizational learning, to analyze how data is positioned as a resource, a capability input, and an infrastructural condition. The review identifies three central themes: the conceptual progression from data to strategic value, the organizational enablers of data-driven capability, and persistent theoretical ambiguities regarding data’s ontological status. We argue that data’s strategic value is neither inherent nor automatic but emerges through complex processes of governance, interpretation, and integration with organizational routines. The analysis highlights unresolved debates about whether data constitutes a primary resource, a foundational capability, or a dynamic asset whose value is contingent on context. This review offers a synthesized framework to guide future research on data-centric strategy and informs managerial understanding of the organizational conditions required to convert data into sustainable competitive advantage.
Despite substantial investment in digital technologies, many digital transformation initiatives fail to deliver the strategic, operational, and organizational outcomes expected of them. The persistence of such failures suggests that the problem cannot be explained only by technology selection, implementation delays, or budget overruns. Instead, digital transformation failure reflects a deeper managerial misunderstanding of what transformation actually requires. This perspective article argues that digital transformation fails when it is treated as a conventional management project rather than led as a long-term process of organizational change. Project thinking encourages managers to focus on systems, milestones, budgets, and delivery schedules, while underestimating leadership commitment, cultural adaptation, and strategic coherence. As a result, organizations may install digital tools without transforming how decisions are made, how people work, or how value is created. The objective of this article is to diagnose three interconnected managerial failure mechanisms: leadership gaps, cultural resistance, and strategic misalignment. Leadership gaps weaken vision, commitment, role modelling, and digital literacy. Cultural resistance blocks behavioral change, reinforces legacy routines, and reduces employee willingness to engage with new digital ways of working. Strategic misalignment disconnects digital initiatives from the core business agenda, producing fragmented efforts that rarely scale. The article develops an evidence-based perspective by synthesizing peer-reviewed and practitioner-oriented articles published. It does not present new empirical data. Instead, it uses critical synthesis, conceptual reasoning, and practical interpretation to explain why digital transformation failure is fundamentally a management problem rather than a technological inevitability. The article concludes that digital transformation requires a shift from project management to organizational leadership. Managers must move beyond treating digital transformation as an implementation programme and instead lead it as a continuous process of strategic renewal, cultural adaptation, and capability development. Only then can digital initiatives become embedded in the organization’s operating logic and contribute meaningfully to transformation outcomes.
Data governance has become a central organisational concern as firms depend increasingly on data for analytics, digital transformation, regulatory compliance, and operational coordination. Yet many organisations still locate data governance within information technology departments and define it primarily through technical controls, data quality rules, security standards, and regulatory obligations. This article argues that such a framing is too narrow for contemporary data-intensive organisations. When data governance is treated only as an IT compliance function, it is separated from strategic decision-making, business model innovation, customer trust, managerial accountability, and competitive renewal. The objective of this perspective article is to reconceptualise data governance as a strategic management capability. This means understanding data governance not merely as the administration of data assets, but as the managerial capacity to define decision rights, allocate accountability, shape data use, manage risk appetite, and convert data into organisational value. The perspective shows that strategic data governance changes the role of managers, the meaning of risk control, and the metrics by which governance success should be judged. It concludes that organisations seeking to compete through data must elevate data governance from a technical support function to a core management capability owned by senior leaders.
Firms have invested heavily in digital transformation through cloud infrastructure, process digitisation, data platforms, automation, and digitally enabled customer interfaces. Yet many organisations discover that becoming more digital does not automatically produce durable competitive advantage, stronger margins, or defensible market positions. The central problem is that digital transformation is often treated as a strategic endpoint rather than as a foundation for deeper business model change. Firms may modernise systems, accelerate operations, and improve data visibility while leaving their revenue logic, value proposition, customer relationship, and ecosystem role largely unchanged. This perspective argues that digital transformation becomes strategically meaningful only when it triggers business model reinvention. The article focuses on three critical dimensions of post-transformation business models: revenue logic, customer data as a strategic resource, and ecosystem positioning. The article develops an evidence-based perspective using peer-reviewed research on business model innovation, digital transformation, platform strategy, data-driven innovation, and ecosystem competition. It does not present new empirical data; instead, it offers a critical synthesis and strategic argument for managers and scholars. The perspective concludes that the central managerial challenge is no longer simply how to become digital, but how to reinvent the business after digital foundations are in place. Firms that fail to make this transition risk becoming digitally efficient but strategically stagnant.
Social commerce has transformed digital competition by blending product discovery, peer interaction, creator influence, entertainment, and transaction into a single platform-mediated experience. Unlike traditional e-commerce, where firms compete through search visibility, website efficiency, pricing, and fulfilment reliability, social commerce shifts competition into dynamic social environments where attention, trust, and participation are continuously produced. This perspective argues that existing digital business strategy frameworks do not fully capture the competitive logic of social commerce. Strategies designed around owned websites, paid advertising, email conversion funnels, and transactional optimisation remain important, but they are no longer sufficient when consumer decisions are shaped inside algorithmic content feeds, creator communities, and live interactive selling events. The article develops an evidence-based perspective on how digital firms compete through three emerging social-relational capabilities. These are creator partnerships that produce authentic influence, community engagement that generates belonging and loyalty, and live selling that integrates entertainment, interaction, urgency, and immediate purchase. The core conclusion is that social commerce should not be treated as a minor extension of digital marketing. It represents a new competitive battleground in which firms must build capabilities for managing creators, cultivating communities, designing live interaction, and converting social engagement into strategic advantage.
Institute for Management, Business, and Accounting Studies