LEADER 02709oam 2200877zu 450 001 9910144012603321 005 20210807002928.0 010 $a3-906390-44-6 035 $a(CKB)1000000000376011 035 $a(SSID)ssj0000354338 035 $a(PQKBManifestationID)11256491 035 $a(PQKBTitleCode)TC0000354338 035 $a(PQKBWorkID)10313163 035 $a(PQKB)11676683 035 $a(EXLCZ)991000000000376011 100 $a20160829d2003 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aHydrolysis in drug and prodrug metabolism : chemistry, biochemistry, and enzymology 210 31$a[Place of publication not identified]$cWiley VCH$d2003 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-906390-25-X 606 $aDrugs$xMetabolism 606 $aXenobiotics$xMetabolism 606 $aHydrolysis$xEffect of drugs on 606 $aHydration 606 $aEnzymes 606 $aHydrolysis 606 $aPharmaceutical Preparations 606 $aXenobiotics 606 $aEnzymes 606 $aBiochemical Processes 606 $aChemicals and Drugs 606 $aChemical Processes 606 $aEnzymes and Coenzymes 606 $aMetabolism 606 $aBiochemical Phenomena 606 $aChemical Phenomena 606 $aMetabolic Phenomena 606 $aPhenomena and Processes 606 $aPharmacy, Therapeutics, & Pharmacology$2HILCC 606 $aAnimal Biochemistry$2HILCC 606 $aHealth & Biological Sciences$2HILCC 606 $aHuman Anatomy & Physiology$2HILCC 615 0$aDrugs$xMetabolism 615 0$aXenobiotics$xMetabolism 615 0$aHydrolysis$xEffect of drugs on 615 0$aHydration 615 0$aEnzymes 615 2$aHydrolysis 615 2$aPharmaceutical Preparations 615 2$aXenobiotics 615 2$aEnzymes 615 2$aBiochemical Processes 615 2$aChemicals and Drugs 615 2$aChemical Processes 615 2$aEnzymes and Coenzymes 615 2$aMetabolism 615 2$aBiochemical Phenomena 615 2$aChemical Phenomena 615 2$aMetabolic Phenomena 615 2$aPhenomena and Processes 615 7$aPharmacy, Therapeutics, & Pharmacology 615 7$aAnimal Biochemistry 615 7$aHealth & Biological Sciences 615 7$aHuman Anatomy & Physiology 676 $a572.79343 700 $aTesta$b Bernard$0290760 702 $aMayer$b Joachim M 801 0$bPQKB 906 $aBOOK 912 $a9910144012603321 996 $aHydrolysis in drug and prodrug metabolism : chemistry, biochemistry, and enzymology$91966713 997 $aUNINA LEADER 04620nam 22004815 450 001 9910366624703321 005 20240307123449.0 010 $a9783030369033 010 $a303036903X 024 7 $a10.1007/978-3-030-36903-3 035 $a(CKB)5280000000190224 035 $a(MiAaPQ)EBC6002005 035 $a(DE-He213)978-3-030-36903-3 035 $a(Perlego)3491357 035 $a(EXLCZ)995280000000190224 100 $a20191227d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Demand for Life Insurance $eDynamic Ecological Systemic Theory Using Machine Learning Techniques /$fby Wookjae Heo 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Pivot,$d2020. 215 $a1 online resource (171 pages) 311 08$a9783030369026 311 08$a3030369021 327 $aIntroduction: 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. 330 $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 $400 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 workedfor 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. 606 $aFinancial services industry 606 $aFinancial Services 615 0$aFinancial services industry. 615 14$aFinancial Services. 676 $a368.32 676 $a657.836 700 $aHeo$b Wookjae$4aut$4http://id.loc.gov/vocabulary/relators/aut$0990601 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910366624703321 996 $aThe Demand for Life Insurance$92266454 997 $aUNINA