The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques
Intro -- Preface -- Contents -- List of Figures -- List of Tables -- Chapter 1 Introduction: A Need of New Framework in Financial Planning with the Case of Life Insurance Demand -- Abstract -- 1.1 Introduction and Statement of the Problem -- 1.2 Purpose and Justification of Study -- 1.2.1 Complexity Among the Determinants of the Demand for Life Insurance -- 1.2.2 Adoption of a Dynamic Nonlinear Systemic Approach -- 1.3 Research Questions and Hypotheses -- 1.4 Specific Research Objectives -- References -- Chapter 2 Theoretical Background: A New Theoretical Framework for Financial Planning with the Case of Life Insurance Demand-Dynamic Ecological Systemic Framework -- Abstract -- 2.1 Introduction to Conceptual and Theoretical Framework -- 2.1.1 Ecological Framework -- 2.1.2 Transformative Consumer Research -- 2.1.3 Nonlinear Science in Economic Areas -- 2.1.3.1 Complexity in the Actual World and Nonlinear Science with Chaotic Dynamics -- 2.1.3.2 Adopting Nonlinear Science in Economics -- 2.1.3.3 Examples of Adopting Nonlinear Science in Economic-Related Areas -- 2.1.3.4 Summary -- 2.1.4 Concept of Dynamic Nonlinear Systemic Framework Concepts -- 2.1.5 Conceptual Artificial Neural Network Model Using the Dynamic Nonlinear Systemic Framework -- 2.1.5.1 Artificial Neural Networks: A Primer -- 2.2 Definitions -- 2.2.1 Life Insurance -- 2.2.2 Dynamic Nonlinearity -- 2.2.3 System -- 2.3 Assumptions and Limitations -- 2.4 Summary -- References -- Chapter 3 Literature Review: Previous Literature for Understanding Life Insurance and Behavioral Demand for Life Insurance -- Abstract -- 3.1 Historical Context Discussion -- 3.1.1 Understanding Risk, Risk Management, and the Need for Insurance -- 3.1.2 Personal Need for Life Insurance -- 3.1.3 Understanding Life Insurance.