國立高雄大學圖資館 |

Language: English

Back

The demand for life insurancedynamic...

Heo, Wookjae.

The demand for life insurancedynamic ecological systemic theory using machine learning techniques /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The demand for life insuranceby Wookjae Heo.
Reminder of title:	dynamic ecological systemic theory using machine learning techniques /
Author:	Heo, Wookjae.
Published:	Cham :Springer International Publishing :2020.
Description:	xii, 163 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Life insurance.
Online resource:	https://doi.org/10.1007/978-3-030-36903-3
ISBN:	9783030369033$q(electronic bk.)

The demand for life insurancedynamic ecological systemic theory using machine learning techniques /
Heo, Wookjae.

The demand for life insurancedynamic ecological systemic theory using machine learning techniques /[electronic resource] :by Wookjae Heo. - Cham :Springer International Publishing :2020. - xii, 163 p. :ill., digital ;24 cm.

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.

"Once every 10 or 20 years, a researcher identifies a tool that can be used to transform the way in which a product or service is conceptualized. It is my opinion that Dr. Heo has made such a breakthrough. As the largest life insurance companies move closer to writing

ISBN: 9783030369033$q(electronic bk.)

Standard No.: 10.1007/978-3-030-36903-3doiSubjects--Topical Terms:

528189
Life insurance.

LC Class. No.: HG8771 / .H469 2020

Dewey Class. No.: 368.32

The demand for life insurancedynamic ecological systemic theory using machine learning techniques /
LDR:04178nmm a2200325 a 4500 001 575604
003 DE-He213
005 20200507145223.0
006 m d
007 cr nn 008maaau
008 201027s2020 sz s 0 eng d
020 $a 9783030369033$q(electronic bk.)
020 $a 9783030369026$q(paper)
024 7 $a 10.1007/978-3-030-36903-3 $2 doi
035 $a 978-3-030-36903-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HG8771 $b .H469 2020
072 7 $a KFFN $2 bicssc
072 7 $a BUS033000 $2 bisacsh
072 7 $a KFFN $2 thema
082 0 4 $a 368.32 $2 23
090 $a HG8771 $b .H528 2020
100 1 $a Heo, Wookjae. $3 863707
245 1 4 $a The demand for life insurance $h [electronic resource] : $b dynamic ecological systemic theory using machine learning techniques / $c by Wookjae Heo.
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Pivot, $c 2020.
300 $a xii, 163 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a "Once every 10 or 20 years, a researcher identifies a tool that can be used to transform the way in which a product or service is conceptualized. It is my opinion that Dr. Heo has made such a breakthrough. As the largest life insurance companies move closer to writing $4 00 billion in annual direct premiums, it is important for financial advisors, insurance executives, consumer advocates, and policy makers to better understand the factors that shape the insurance buying process. Through the use of machine learning technologies, Dr. Heo provides ground-breaking insights into why some consumers purchase insurance, why some drop coverage, and what can be done to make sense of the complicated insurance marketplace. Anyone interested in gaining an understanding of the nuances embedded in the life insurance marketplace should read this book." -John E. Grable, University of Georgia, USA "Heo is on a quest to reflect the complexities of the world in his study. He introduces how holistic patterns in reality can be better identified and addressed in predicting the demand for life insurance. This book will reshape the way we see how financial decisions are studied. This book is a delightful guide full of useful insights for those of us who want to enjoy a journey to a dynamic nonlinear systemic framework in consumer finances and relevant disciplines. Heo offers a great explanation of the basics of the analytic framework and all the key results, making the book a great resource for researchers and for financial practitioners as well. The new framework can be applied in diverse setting and the book will provide the ideal introduction to an artificial neural network application in the field." -Jae Min Lee, Minnesota State University, Mankato 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.
650 0 $a Life insurance. $3 528189
650 1 4 $a Insurance. $3 183906
650 2 4 $a Personal Finance/Wealth Management/Pension Planning. $3 758353
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-36903-3
950 $a Economics and Finance (Springer-41170)