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In the context of accelerating digital transformation and a tougher competitive environment, the quality of innovative business model development is becoming a key factor in the survival and scaling of technology startups. The purpose of the study is to summarize the evolution of approaches to business modeling in technological entrepreneurship, update empirical data on the causes of startup failures over the period 2022-2025 and propose a universal algorithm for building an innovative business model in a transformational economy. The paper systematizes modern concepts of business modeling (from closed to open innovations, from traditional to digital and platform models), clarifies the risks of technological entrepreneurship and highlights key trends (strengthening the role of AI, platform solutions, hybrid and subscription models, increasing the importance of sustainability and cybersecurity). The result was the justification of a five–step algorithm for developing an innovative startup business model – from market research and competitive analysis to setting up a value proposition and risk management - taking into account updated statistics on the typical causes of startup failure and the changed conditions of venture financing in 2022-2025. The conclusion emphasizes that the universalization of the key stages of business model development, while adapting to industry specifics and digital trends, reduces the likelihood of a product's lack of market demand, increases resilience to external shocks, and expands the scaling potential of innovative projects.
innovative business model, technological entrepreneurship, digital transformation, startup, open innovation, startup risks, digital economy, venture financing
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