Nyílt innováció és mesterséges intelligencia: az új innovációmenedzsment dimenziói
Open Innovation and Artificial Intelligence: New Dimensions of Innovation Management

Summary/Abstract: The study aims to explore how artificial intelligence (AI) technologies support open innovation processes and to identify the most important trends and research directions. It highlights the significance of the relationship between AI and open innovation in transforming innovation management and establishing sustainable economic models. Furthermore, the study emphasizes how AI can create new opportunities for collaboration between companies and scientific communities. The research is based on a systematic literature review and keyword co-occurrence analysis conducted using relevant publications from the Scopus database. The VOSviewer software was used to identify the main thematic clusters of the relationship between AI and open innovation, including digitalization, enhancing innovation capabilities, strengthening collaborative culture, and boosting strategic competitiveness. The analysis considered the period from 2000 to 2023, providing a comprehensive overview of the latest trends. The analysis identified four key areas: AI-driven digitalization, enhancing innovation capabilities, strengthening collaborative culture, and boosting strategic competitiveness. The findings revealed that AI not only accelerates the pace of innovation but also creates new opportunities in collaboration and decision-making processes. For instance, the application of predictive analytics significantly improves strategic decision-making, while AI-based automation promotes more efficient resource utilization. The study highlighted that AI-based approaches offer significant advantages in achieving faster market entry and sustainable innovation. The study recommends the integration of AI into innovation management practices, particularly in data-driven decision-making and digital transformation. From a policy perspective, it is crucial to establish regulatory frameworks that ensure the transparent and ethical application of AI. These frameworks can facilitate sustainable innovation processes while supporting open collaboration between companies. Special attention should be given to the development of AI training programs to promote broader acceptance and application of the technology across various industries. Acknowledgments: This research was supported by Project No. 2023-2.1.2-KDP-2023-00012, implemented with the generous support of the Ministry of Culture and Innovation of Hungary, financed by the National Research, Development and Innovation Fund under the KDP-2023 funding scheme. We extend our sincere gratitude for this invaluable financial assistance, which made this work possible. We also wish to express our heartfelt thanks to Attila Pál, corporate expert, for his insightful contributions and expertise, and to Tamás Mészáros, Global AME Engineering and Automation Senior Manager, for his professional guidance and valuable support throughout the research process. Their involvement significantly enriched the depth and practical relevance of this study.

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