MODELS AND TOOLS FOR INNOVATIVE BUSINESS DEVELOPMENT IN THE DIGITAL ECONOMY
Abstract
The article summarizes contemporary models of innovative development and systematizes business innovation tools in the digital economy. It argues that the growing role of data, network effects and digital ecosystems is reshaping sources of competitive advantage and increasing requirements for speed, scalability, and governance of innovation. The paper clarifies the practical meaning of key innovation process models in a digital context, where value creation increasingly depends on platform logic, continuous customer feedback and rapid experimentation supported by digital technologies. A three-level classification of innovation tools is proposed. Іncluding foresight activities and the development of technology roadmaps, innovation portfolio management, risk-informed prioritization, and digital maturity assessment. The paper also covers such innovation development instruments as design thinking, Agile/DevOps, open innovation, and corporate venturing projects aimed at reducing the risk of developing solutions without validated demand and supporting radical initiatives alongside core operations. Together, they help align innovation priorities with real market opportunities and resource constraints. Open innovation mechanisms and corporate entrepreneurship tools are seen as ways to expand access to external knowledge, partners, and talent, while reducing risk and enabling more radical initiatives without compromising core business. Generalized concept is formulated to describe innovation management as an integrated chain, enabling consistent coordination between managerial decisions, execution practices and analytical support. The article also addresses the specifics of innovation management under uncertainty and limited resources, which is particularly relevant for Ukrainian enterprises, and outlines practical directions such as rapid hypothesis testing, partnership-based access to technologies and capability building. In addition, approaches to assessing innovation effectiveness at the strategic level are suggested, combining input, process, and outcome indicators. Criteria for evaluating the compliance of innovations with the digital context include platform readiness, API-oriented architecture, data availability and quality, cybersecurity, privacy, and ethical requirements.
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