Role of artificial intelligence in the process of innovation management: dimensions, themes and examples

This study aims to discuss the role of artificial intelligence (AI) in innovation management in a conceptual framework. In line with the purpose of the research, the conceptual analysis technique was used within the scope of qualitative research methods. In this context, the effects of AI on innovation management are explained based on relevant scientific research, reports and sectoral examples. How AI is integrated with innovation management processes, its application areas, and its potential future effects are examined. It has been concluded that AI affects important elements of organizations such as knowledge management, organizational flexibility, organizational innovation, decision-making, sustainable growth, organizational culture and strategic human resources management and that AI makes innovation management processes more efficient and effective with the opportunities it offers in areas such as big data analysis, machine learning and automation. The role of AI in innovation management stands out as an important element for modern organizations and reveals that research in this field should be examined in depth. This study examines the role of AI in innovation management processes within a conceptual framework and recommends that future studies conduct empirical research to expand on this topic. This study provides important in terms of revealing the role of AI in innovation management based on the relevant literature and with examples and will contribute to the literature.