Doktorarbeit / Dissertation, 2015
113 Seiten, Note: 68.50%
1. CHAPTER 1: INTRODUCTION TO THE RESEARCH PROBLEM
1.1) Introduction
1.2) Problem Statement
1.3) Nature of Study
1.4) Research Questions and Hypotheses
1.5) Research Objectives
1.6) Purpose of the Study
1.7) Theoretical Base
1.8) Operational Definitions
1.9) Assumptions
1.10) Limitations
1.11) Scope and Delimitations
1.12) Significance of the Study
1.13) Research Approach and Overview
1.14) Summary and Transition
2. CHAPTER 2: LITERATURE REVIEW
2.1) Introduction
2.2) Business Models
2.2.1) Social Requirement of Business Models
2.2.2) Innovation and Technology
2.2.3) Business Model Frameworks and Functions
2.2.4) Changing Business Models
2.2.5) Contingency Factors and Interdependencies
2.2.6) Business Model and Value Creation
2.3) Regulation
2.3.1) Regulation and the Financial Crisis
2.3.2) Increased Scrutiny
2.3.3) Open-Ended Regulation
2.3.4) Regulation and Small Business
2.3.5) Treating Customers Fairly
2.3.6) Treating Customers Fairly and Value Creation
2.3.7) Treating Customers Fairly and Ethics
2.3.8) Engagement of Companies in TCF
2.4) Operational Efficiency
2.4.1) Competition and Operational Efficiency
2.4.2) Relationship between Business Models and Operational Efficiency
2.4.3) Points of Operational Efficiency
2.4.4) Operational Efficiency Factors
2.5) Summary
3. CHAPTER 3: RESEARCH QUESTIONS AND HYPOTHESES
4. CHAPTER 4: RESEARCH METHODOLOGY
4.1) Methodology
4.2) Unit of Analysis
4.3) Population
4.4) Sampling
4.5) Research Instrument
4.6) Data Collection and Analysis
4.7) Limitations
4.8) Conclusion
5. CHAPTER 5: RESULTS
5.1) Brief Review of the Methodology
5.2) Data Review
5.3) Likert Scale Testing
5.4) Restatement of the Research Questions and Hypotheses
5.5) Reliability and Validity
5.6) Demographic Statistics
5.6.1) Gender
5.6.2) Age
5.6.3) Length of Employment
5.6.4) Company Role
5.7) RQ 1: To What Extent have Regulations Affected Operational Efficiency?
5.8) RQ 2: To What Extent have Regulations Affected Business Models?
5.9) RQ 3: To What Extent have Regulations Affected how Customers are Treated?
5.10) H1: Underwriting Managers have Achieved High Rates of Operational Efficiency
5.11) Significant Inferential Statistics
5.12) H2: Regulations have Affected Business Models and how Customers are Treated
5.13) Conclusion
6. CHAPTER 6: DISCUSSION OF RESULTS
6.1) Restatement of the Research Questions and Hypotheses
6.2) Demographic Statistics
6.3) RQ 1: To What Extent have Regulations Affected Operational Efficiency?
6.4) RQ 2: To What Extent have Regulations Affected Business Models?
6.7) RQ3: To What Extent have Regulations Affected how Customers are Treated?
6.6) H1: Underwriting Managers have Achieved High Rates of Operational Efficiency
6.8) H2: Regulations have Affected Business Model and how Customers are Treated
6.9) Conclusion
7. CHAPTER 7: CONCLUSION
7.1) Principal Findings
7.2) Implication for Management
7.3) Limitations of Research
7.4) Suggestions for Future Research
This study investigates the impact of regulatory changes on operational efficiency and customer treatment within the South African short-term insurance industry, specifically focusing on Underwriting Management Agencies (UMAs).
1.1) Introduction
Business model regulations are changing as technology and innovation advances. Regulatory changes have been made in order to improve the “safety and soundness of the global financial system through a range of regulatory changes aimed primarily at large banks” (EY Global, 2015). However, there are other companies within the financial services industry that have been affected by business model regulations, such as within the insurance industry. For example, the insurance industry is governed by insurance regulatory law, which has been developed through individual states and statutory law (Van III, 2011).
As a result, the business models utilised by the insurance industry are governed by insurance regulatory laws. Regulations inhibit operational efficiency through inconsistency. That is, business models must be aligned with the applicable regulations. For instance, manufactured capital regulations can inhibit operational efficiency if the facilities, equipment, and other infrastructural components are not productive (Iirc & International Integrated Reporting Council, 2013).
In 2010, the Federal Insurance Office was established, but was not designed to take over state regulations. Rather, the purpose was to implement new requirements within the insurance industry (PWC, 2010). The office analyses different aspects of insurance regulation, such as “systemic risk, capital standards, consumer protection, national uniformity of insurance regulation, regulation of companies and affiliates on a consolidated basis, international coordination of insurance regulation, international coordination of insurance regulation, costs and benefits of federal regulation of insurance, feasibility of regulating only certain lines of business at the federal level, regulatory arbitrage, impact of regulatory changes in foreign jurisdictions on potential federal regulation, and federal resolution authority” (PWC, 2010, p. 2). Complying with this new requirement may be time consuming and may hinder productivity and profitability.
CHAPTER 1: INTRODUCTION TO THE RESEARCH PROBLEM: This chapter introduces the study, outlines the problem statement regarding business model regulations, and defines the research objectives and scope.
CHAPTER 2: LITERATURE REVIEW: This chapter provides an overview of existing theories and frameworks concerning business models, regulatory impacts on financial services, and the definition of operational efficiency.
CHAPTER 3: RESEARCH QUESTIONS AND HYPOTHESES: This chapter establishes the specific research questions and hypotheses that guide the quantitative and correlational research design of the study.
CHAPTER 4: RESEARCH METHODOLOGY: This chapter details the quantitative research methodology, describing the population, sampling techniques, survey instruments, and statistical analysis methods utilized.
CHAPTER 5: RESULTS: This chapter presents the findings derived from the survey data, including demographic statistics and analyses regarding the identified research hypotheses.
CHAPTER 6: DISCUSSION OF RESULTS: This chapter relates the empirical study results to the literature review and discusses the implications of regulations on business models and customer treatment.
CHAPTER 7: CONCLUSION: This chapter summarizes the primary findings, offers management implications, and provides recommendations for future research in the insurance sector.
Business model, operational efficiency, treating customers fairly, regulation, insurance, Underwriting Management Agencies, UMA, financial services, compliance, risk management, organizational performance, technological innovation, consumer protection, quantitative research, business strategy
The study examines the impact of evolving business model regulations on operational efficiency and the fair treatment of customers within the South African short-term insurance industry.
Central themes include regulatory compliance, the structural adaptation of business models, operational efficiency metrics, and the ethical treatment of customers as mandated by the Treating Customers Fairly (TCF) initiative.
The primary objective is to determine whether regulation changes hinder or enhance operational efficiency and to understand how these regulations force modifications to insurance business models.
The study utilizes a quantitative descriptive and correlational research design, involving a survey of Underwriting Management Agencies (UMAs) analyzed via IBM SPSS and Likert scale testing.
The main body covers a comprehensive literature review, the definition of research hypotheses, methodology, and a detailed analysis of survey results regarding revenue, expenses, and management awareness.
Key terms include Business model, operational efficiency, Treating Customers Fairly, regulation, and insurance.
The research indicates that compliance with regulatory requirements can be an onerous activity, particularly for smaller organizations, often leading to increased costs and time-consuming administrative processes.
No, the study concluded that the hypothesis suggesting underwriting managers have achieved high rates of operational efficiency was not confirmed.
Technology is viewed as a vital driver for innovation and efficiency, yet the study finds that simple automation does not always lead to superior workflow or improved efficiency outcomes.
Management is advised to prioritize technological integration and to ensure that business models are flexible enough to accommodate regulatory shifts while maintaining a focus on core value creation.
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