This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques. Previous studies used diverse perspectives, like actuarial and life span, in order to understand the demand for life insurance, though these approaches have shown inconsistent findings. Employing two theoretical backgrounds—ecological syste...

This textbook comprehensively compiles and describes core financial services-related ethics, compliance, and relevant regulatory standards of practice. It rests on a foundation of theory related to rulemaking, standards enforcement, and ethics with each chapter focusing on the behavioral and psychological factors associated with creating and managing ethical client-focused ethical practices. It includes practical examples of ethics violations and the actions that can be taken to address et...

This two-volume book offers an in-depth exploration of Korea’s multidisciplinary advancements in Artificial Intelligence (AI). It showcases how Korean and Korean American scholars utilize diverse methodologies, including systematic literature reviews, empirical research, and industry case studies, to illustrate AI’s transformative impacts across fields like engineering, business, health, and education. It bridges a gap in global AI literature and provides comprehensive insights into AI’s t...

This two-volume book offers an in-depth exploration of Korea’s multidisciplinary advancements in Artificial Intelligence (AI). It showcases how Korean and Korean American scholars utilize diverse methodologies, including systematic literature reviews, empirical research, and industry case studies, to illustrate AI’s transformative impacts across fields like engineering, business, health, and education. It bridges a gap in global AI literature and provides comprehensive insights into AI’s t...