Generative AI for Business and Economics: Theory and Applications

This book explores the growing influence of generative artificial intelligence in reshaping business practices, economic systems, and strategic decision-making. Centred on the theoretical foundations, computational models, and applied use cases of generative AI, it brings together contemporary research and real-world applications across key domains such as finance, markets, entrepreneurship, supply chains, policy analysis, and sustainability. The chapters address large language models, generative analytics, intelligent automation, predictive modelling, and human-AI collaboration in economic and organizational contexts. By combining rigorous analytical approaches with practical insights, the book offers a timely reference to researchers, practitioners, students, and policymakers.