ЕВОЛЮЦІЯ ТЕОРІЙ ІННОВАЦІЙНОГО МЕНЕДЖМЕНТУ

The article provides a comprehensive examination of the evolution of theoretical approaches to innovation management and identifies the major directions in the transformation of its conceptual foundations under the influence of economic, technological, organizational, and societal changes. The relevance of the study is determined by the fact that, in an increasingly dynamic competitive environment, characterized by digital transformation, the spread of open innovation, the development of innovation ecosystems, platform-based business models, and artificial intelligence, traditional approaches to managing innovation activities require substantial reconsideration. The evolution of academic thought demonstrates a gradual shift from viewing innovation primarily as the outcome of a firm's internal research and technological development activities toward understanding it as a complex, systemic process of creating, disseminating, and commercializing new knowledge, technologies, products, services, processes, and business models involving multiple actors within an innovation ecosystem. he purpose of the study is to systematize and generalize the main stages in the evolution of innovation management theories, identify the underlying logic of the transformation of relevant theoretical paradigms, and substantiate the specific features of the contemporary stage of innovation management development, which is characterized by openness, ecosystem-based interaction, digitalization, the development of dynamic capabilities, and the use of artificial intelligence. The methodological foundation of the study comprises a combination of general scientific and specialized research methods. The historical and logical method was used to identify the sequence of formation and transformation of innovation management theories; the methods of analysis and synthesis were applied to systematize the principles of contemporary theoretical concepts; the comparative method was used to identify the common and distinctive characteristics of the principal paradigms; the systems approach was employed to examine the interrelationships between innovation strategy, resources, organizational capabilities, innovation processes, external partners, and ecosystems; and the generalization method was used to develop an integrated understanding of the contemporary innovation management model. The theoretical and informational basis of the study comprises recent academic works by international and Ukrainian scholars addressing innovation management, open innovation, dynamic capabilities, innovation ecosystems, digital technologies, business model innovation, and artificial intelligence. The scientific novelty of the study lies in systematizing the evolution of innovation management theories as a successive transition from resource- and technology-based and linear models to process-based, capability-based, open, ecosystem, digital, and human–AI hybrid paradigms. These concepts are interpreted not as mutually exclusive approaches, but as interconnected stages in the expansion of the subject matter and scope of innovation management. The study substantiates that the contemporary transformation of innovation management is manifested in a shift from managing individual innovation projects toward developing and enhancing a firm's innovation capabilities, managing knowledge and partnership networks, and orchestrating innovation ecosystems. It is demonstrated that digitalization and artificial intelligence constitute a qualitatively new stage in the development of innovation management theory, in which innovation processes increasingly take the form of human–machine hybrid systems. The study identifies the principal patterns underlying the development of theoretical approaches to innovation management. It is established that the initial focus on technological resources, research and development has gradually been complemented by process-based approaches, the concept of dynamic organizational capabilities, open innovation, innovation ecosystems, and digital transformation. The findings demonstrate that contemporary innovation management encompasses not only the creation of new products and technologies but also the management of knowledge, organizational change, business models, partnership networks, digital data, and intelligent technologies. The principal stages of theoretical evolution are systematized according to the object of management, sources of innovation, the role of the firm, and mechanisms of value creation. The study substantiates the need to integrate process-based, strategic, resource-based, network, ecosystem, and digital approaches into a contemporary innovation management model. It is established that the future development of innovation management theory is associated with the formation of responsible innovation management models, the integration of human and artificial intelligence, the development of digital innovation ecosystems, and the increasing importance of firms' dynamic capabilities. The findings can be used to further develop the theoretical and methodological foundations of innovation management, formulate innovation strategies, and design practical mechanisms for strengthening firms' innovation capabilities.