Dynamic Determinants of AI-Based Innovation Management Practices and Sustainable FinTech: Application Preferences of AI-Innovators

In the era of technological disruption, AI created enormous opportunities for the Fintech industry. This exploratory study comprises 325 AI-savvy innovation managers working in the FinTech industry who have an in-depth understanding of AI and innovation management. Different groups differ in strategy, organizational structure, skill-building, perceived potential, knowledge of desired changes, and corporate environments. The study found that implementation preferences, perceptual factors, and organizational factors greatly influence the promotion of AI-based innovation management systems. The study also established a model in which AI-based innovation management mediates selected manifest and sustainable FinTech. The study also concludes that AI creators may focus most of their efforts on link-building and management with companies outside their current networks. Given that innovation is occurring increasingly in open networks where the distinctions between enterprises, users, and start-ups are dissolving, FinTech businesses will need to work harder to become more open to the outside world to tackle the difficulties posed by AI. The study contributes to understanding AI-based innovation management, its influence on upcoming innovation practices, and differences in company AI goals and implementation strategies.