Demand for Life Insurance

Dynamic Ecological Systemic Theory Using Machine Learning Techniques

Häftad, Engelska, 2020

AvWookjae Heo

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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.

Produktinformation

Utgivningsdatum2020-12-28
Mått148 x 210 x 10 mm
Vikt236 g
FormatHäftad
SpråkEngelska
Antal sidor163
FörlagSpringer Nature Switzerland AG
ISBN9783030369057

Tillhör följande kategorier

Finansiering inom Ekonomi och Ledarskap

Wookjae Heo is an assistant professor of Consumer Affairs at the South Dakota State University, USA. Prior to earning a PhD from the University of Georgia, USA, he had worked for a marketing consulting firm and received a MA Degree in Consumer Sciences from Seoul National University, South Korea. His main research interest is broadly about consumer behavioral intervention, financial stress on consumer behavior, demand of life insurance, and data mining/data analysis in consumer research.

Introduction: A Need of New Framework in Financial Planning with the Case of Life Insurance Demand.- Theoretical Background: A New Theoretical Framework for Financial Planning with the Case of Life Insurance Demand.- Literature Review: Previous Literature for Understanding Life Insurance and Behavioral Demand for Life Insurance.- Practical Approach: Practical Approach to Personal Needs of Life Insurance with Dynamic Systemic Framework.- Empirical Analysis Part 1 Methodology and Data: Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework.- Empirical Analysis Part 2 Result and Findings: Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework.- Implications and Conclusion: Implications and Conclusion from the Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework.