Understanding Human Decision-Making in Economic Models

As artificial intelligence (AI), big data, and automation increasingly shape economic systems, understanding human decision-making within these models becomes critically important. The integration of intelligent technologies is not only transforming traditional sectors like finance, transportation, and hospitality, but also redefining how individuals interact with markets and make economic choices. Insights into behavioral responses, algorithmic influence, and the psychological underpinnings of decisions are essential to navigate this evolving landscape. Understanding Human Decision-Making in Economic Models explores how emerging technologies like AI and big data are reshaping economic models by influencing human decision-making. It offers insights into behavioral economics, intelligent systems, and policy responses needed to navigate the disruptions of a rapidly evolving digital economy. Covering topics such as financial markets, personnel management, and industrial production, this book is an excellent resource for academicians, economists, data scientists, policy makers, business strategists, researchers, graduate students, and more.