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The digital economy has fundamentally altered the foundations of competitive strategy, shifting firms from reliance on scarce physical and intangible resources toward data-rich environments where advantage stems from continuous data accumulation, analytics, and platform-mediated interactions. This theory-development article synthesizes recent literature on digital platforms, big data analytics, and ecosystem dynamics to propose new logics of competitive advantage characterized by speed, scale, learning, and connectivity. Traditional resource-based and positioning views are transformed as firms leverage data as a generative resource, platforms as coordination mechanisms, and algorithms for real-time adaptation. The article identifies key mechanisms driving this shift: data-driven resource reconfiguration, network effects amplifying scale advantages, algorithmic competition enabling dynamic strategic adjustment, and ecosystem positioning fostering connectivity. Five theoretical propositions articulate these relationships, culminating in a conceptual model illustrating the evolutionary trajectory from traditional to data-driven strategies. By highlighting feedback loops of continuous learning and adaptation, the framework explains how firms sustain advantage in volatile, data-intensive markets. Contributions include a reconceptualization of competitive logics in the digital era and implications for strategic management in platform-dominated ecosystems.