RISK-ORIENTED MODEL OF VENTURE INVESTMENT IN INNOVATIVE ENTERPRISES

This article examines the conceptual foundations of venture capital financing in environments characterized by persistent uncertainty, incomplete information, and evolving institutional structures. These conditions are particularly prevalent in the early stages of innovative enterprise development, where typical indicators of investment attractiveness, such as stable cash flows, verified product-market fit, or defined business models, are frequently absent or underdeveloped. In such a setting, risk cannot be treated as an auxiliary concern but must be understood as a fundamental dimension shaping the entire investment logic and the dynamics of decision-making within venture capital ecosystems. The text outlines the changing structure and interaction of different types of risk that manifest across various stages of startup development. These include strategic risks associated with long-term direction, operational risks linked to internal processes, behavioral risks emerging from team dynamics, regulatory uncertainties due to shifting legal environments, and technological risks stemming from the novelty or incompleteness of the product itself. Each type evolves depending on the phase of funding, requiring flexible and forward-looking models that capture not only the current state of uncertainty but also its trajectory and potential amplification over time. Understanding how risk perception influences investor behavior is crucial in this context, as it directly affects capital allocation decisions and the valuation of intangible assets. Institutional mechanisms, governance structures, and procedural norms also play an important role in moderating the effects of asymmetry and volatility. Therefore, constructing a comprehensive conceptual framework that addresses the interplay between these elements becomes a necessary step toward developing more resilient and adaptive approaches to venture funding. Such a framework should enable more informed anticipation of risk scenarios, improve responsiveness to unpredictable shifts in the environment, and enhance the long-term sustainability of innovation financing strategies in highly uncertain contexts.