Computational Modelling Approaches to FinTech Innovation

Computational Modelling Approaches to FinTech Innovation bridges the gap between technological advancement and financial systems by investigating the synergy between human intelligence and machine-driven models to drive innovation, resilience, and sustainability in finance. The book opens by grounding readers in the principles of Industry 5.0 and its implications for human-machine collaboration and green innovation. It then transitions into the evolution of management practices and enterprise digitalization, highlighting the journey from Industry 1.0 through to the current digital transformation. Later chapters explore the disruptive effects of Industry 5.0 on supply chains, production, and marketing strategies, before addressing the shifts in human resource management and the convergence of finance and technology. The final section offers insight into emerging technologies, including AI, IoT, Big Data, and Machine Learning, mapping their trajectory within modern industry frameworks. Key Features: -Examine computational models driving FinTech transformation. -Explore Industry 5.0’s role in sustainable innovation and human-machine integration. -Analyze digital enterprise evolution and its management implications. -Investigate the effects of advanced technologies on supply chains and marketing. -Assess the fusion of finance and technology within organizational structures. -Uncover future trends through real-world applications of AI, IoT, and Big Data.