Research Information System
Technology in Society, vol.84, 2026 (SSCI, Scopus)
Industrial Artificial Intelligence is critical in shaping technological innovation by optimizing research and development, enhancing decision-making, and improving industrial efficiency. This research investigates the asymmetric relationship between industrial artificial intelligence and technological innovation in the top ten European nations, utilizing industrial artificial intelligence (Germany, the UK, France, Sweden, the Netherlands, Switzerland, Belgium, Spain, Italy, and Poland). Unlike previous investigations that employed panel data methods, this study implements the Quantile-on-Quantile technique to capture country-specific asymmetric dynamics between variables. Findings reveal a predominantly positive relationship between industrial artificial intelligence and technological innovation, varying across different quantiles and nations. The degree of asymmetry suggests that policy decisions should consider fluctuations in the adoption and innovation levels of artificial intelligence across countries. These insights provide valuable guidance for policymakers and industries seeking to maximize the benefits of artificial intelligence-driven technological advancements.