This book combines artificial intelligence, neurofinance, and behavioral finance to create a sustainable business management approach that prioritizes long-term resilience and ethical considerations over short-term profit maximization. It offers readers practical tools for navigating the complex intersection of technology, psychology, and finance.
Artificial Intelligence in Neurofinance and Behavioral Finance: Decision Making for Sustainable Business Management delivers a unique synthesis of cutting-edge AI technologies with psychological insights into investor behavior, providing readers with AI-powered ESG scoring models, risk assessment frameworks, and predictive analytics tools. The book features real-world case studies, practical implementation roadmaps, and actionable insights that help organizations align financial strategies with UN Sustainable Development Goals while addressing critical issues like algorithmic bias, data privacy, and transparent AI systems. Readers will gain access to proven methodologies for integrating emotional impacts and cognitive biases into decision-making processes, transforming sustainability from a compliance requirement into a competitive advantage. The book distinguishes itself by addressing the critical gap between technological advancement and sustainable business practices, offering a scientifically-grounded, socially conscious approach to financial decision-making. environments.
It is designed for a diverse professional audience including business leaders and financial consultants seeking innovative decision-making frameworks, AI professionals exploring real-world applications in finance, policymakers and students and academics researching the intersection of AI and financial prediction.
