Platform business models in digital entrepreneurship: integration of business consulting, exchange technologies, and data analytics

Анотація

The article reveals the essence of the platform economy, digital entrepreneurship, electronic markets, data-driven business models, and the digital transformation of enterprises. It demonstrates that a platform model creates value not only through the sale of goods or services but primarily through organizing interaction among several groups of participants, generating network effects, accumulating data, and transforming this data into analytical, consulting, and infrastructural resources. The study demonstrates that the integration of business consulting, exchange technologies, and data analytics forms a new logic of digital entrepreneurship in which consulting performs the function of strategic design and transformation support, exchange technologies provide a model of a mature digital infrastructure for electronic markets, and data analytics becomes the basic mechanism for value- -creation, scaling, and monetization. It is demonstrated that platformization transforms traditional business models by shifting the emphasis from ownership of physical assets to the management of digital infrastructure, interaction interfaces, access rules, data flows, and service ecosystems. The article identifies the main advantages of platform models, including scalability, lower transaction costs, service personalization, flexible monetization, and the integration of analytics into managerial decision-making, and also outlines the major risks associated with the concentration of market power, unequal access to digital resources, dependence on platform operators, and data asymmetry. The study proposes a holistic understanding of the platform business model as a multi-level system combining market coordination, analytics, consulting, digital infrastructure, and new monetization mechanisms in digital entrepreneurship. The scientific novelty lies in conceptualizing business consulting, exchange technologies, and data analytics not as parallel digitalization trends but as structurally interdependent components of a unified platform value creation model. The practical value of the research lies in the possibility of applying its findings to the development and improvement of enterprise platform business models, the design of digital transformation strategies, the creation of data-driven services, and the consulting support of firms integrating into electronic markets and digital ecosystems.