Description

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Explores the new theoretical/methodological framework with machine learning technique to understand the demand for life insurance;

Surveys the existing literature covering life insurance and understanding its adoption rates

Offers practical findings and implications for financial planners

About the Author

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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.