scholarly journals The Effect of Claim Settlement on Profit Maximization in the Insurance Industry

2021 ◽  
Vol 9 (9) ◽  
Author(s):  
Kayode Ogunlami
Keyword(s):  
Insurance Industry ◽  
Profit Maximization

scholarly journals Effect of Risk Mitigation on Profitability of Insurance Industries in Nigeria

2021 ◽  
Vol 65 (3) ◽  
pp. 330-343
Author(s):  
Kehinde Olaiya ◽  
◽  
Kareem Arikewuyo ◽  
Ashim Shogunro ◽  
Lateef Yunusa ◽  
...  
Keyword(s):  
Risk Management ◽  
Risk Mitigation ◽  
Cost Minimization ◽  
Insurance Industry ◽  
Profit Maximization ◽  
Risk Identification ◽  
Insurance Companies ◽  
Control Mechanisms ◽  
Risk Monitoring ◽  
Strongly Agree

Risk management plays a critical part in every organization‘s profit maximization through risk cost minimization for wise protection, which cannot be overstated. Risk mitigation (rmt), risk monitoring (rmn), risk management environment, procedure, and policies (epp), and risk measurement (rme) in relation to the profitability of the insurance industry in Nigeria were randomly selected from a wellstructured 5-point Likert scale questionnaire ranging rom ‘5 strongly agree‘ to ‘4 agree‘, ‘3 undecided‘ to ‘1 strongly disagree‘. Using the StataSE 14 statistical software, one hundred and twenty (120) questionnaires were recovered from respondents, accounting for 83 percent of the total questionnaires sent using the multiple regression statistical methodology. Risk reduction and risk monitoring have a considerable impact on the profitability of insurance companies in Nigeria, according to the findings. As a result, it concluded that risk mitigation and monitoring are important factors in determining industry profitability, and those insurance regulators should work to ensure that risk identification, assessment, measurement, and control mechanisms are implemented in accordance with best global practices in order to avoid financial crises and improve insurance performance.

Impairment Questions and Answers

1997 ◽  
Vol 2 (2) ◽  
pp. 4-5
Keyword(s):  
Insurance Industry ◽  
Organized Labor ◽  
Injured Workers ◽  
Disability Benefits ◽  
Uniform System ◽  
Questions And Answers

Abstract Controversy attends use of the AMA Guides to the Evaluation of Permanent Impairment (AMA Guides) in defining injured workers’ permanent partial disability benefits: States desire an efficient, nonsubjective way to determine benefits for nonscheduled injuries and are using the AMA Guides to define the extent of disability. Organized labor is concerned that use of the AMA Guides, particularly with modifications, does not yield a fair analysis of an injured worker's disability. From its first issue, The Guides Newsletter emphatically emphasized and clearly stated that impairment percentages derived according to AMA Guides criteria should not be used to make direct financial awards or direct estimates of disability. The insurance industry and organized labor differ about the use of the AMA Guides in defining permanent partial disability (PPD). Insurers support use of the AMA Guides because they seek a uniform system that minimizes subjectivity in determining benefits. Organized labor is particularly concerned about the lack of fairness of directly equating impairment and disability, and if the rating plays a role in defining disability, additional issues also must be considered. More states are likely to use the AMA Guides with incorporation of additional features such as an index to PPD.

Insurance Industry Proposes Quid Pro Quo

2008 ◽  
Vol 38 (24) ◽  
pp. 2
Author(s):  
MARY ELLEN SCHNEIDER
Keyword(s):  
Insurance Industry

A Linear Programming Model for Product Mix Profit Maximization in A Small Medium Enterprise Company

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
S Mohd Baki ◽  
Jack Kie Cheng
Keyword(s):  
Linear Programming ◽  
Production Planning ◽  
Business Performance ◽  
Programming Model ◽  
Profit Maximization ◽  
Optimal Level ◽  
Linear Programming Model ◽  
Product Mix ◽  
Small Medium Enterprises ◽  
Medium Enterprises

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining the optimal level of the production output which can affect their business performance. Product mix optimization is one of the main key for production planning. Many company have used linear programming model in determining the optimal combination of various products that need to be produced in order to maximize profit. Thus, this study aims for profit maximization of a SME company in Malaysia by using linear programming model. The purposes of this study are to identify the current process in the production line and to formulate a linear programming model that would suggest a viable product mix to ensure optimum profitability for the company. ABC Sdn Bhd is selected as a case study company for product mix profit maximization study. Some conclusive observations have been drawn and recommendations have been suggested. This study will provide the company and other companies, particularly in Malaysia, an exposure of linear programming method in making decisions to determine the maximum profit for different product mix.

Insurance Industry Dynamics

1992 ◽  
Vol 1992 (4) ◽  
pp. 108-113
Author(s):  
Wilson H. Taylor
Keyword(s):  
Insurance Industry ◽  
Industry Dynamics

Identifying Merger Targets in the Property and Liability Insurance Industry

1970 ◽  
Vol 26 (1) ◽  
pp. 91-94
Author(s):  
Richard L. Norgaard ◽  
David T. Crary
Keyword(s):  
Insurance Industry ◽  
Liability Insurance ◽  
Property And Liability Insurance

The Canadian Life Insurance Industry

1956 ◽  
Vol 12 (5) ◽  
pp. 85-87
Author(s):  
Henry Brandt
Keyword(s):  
Life Insurance ◽  
Insurance Industry ◽  
Life Insurance Industry

Identifying Key Fraud Indicators in the Automobile Insurance Industry Using SQL Server Analysis Services

2019 ◽  
Vol 64 (2) ◽  
pp. 53-71
Author(s):  
Botond Benedek ◽  
Ede László
Keyword(s):  
Neural Network ◽  
Decision Tree ◽  
Naive Bayes ◽  
Insurance Industry ◽  
Naïve Bayes ◽  
Sql Server ◽  
Categorical Variables ◽  
Automobile Insurance ◽  
Price Determination ◽  
Mining Tool

Abstract Customer segmentation represents a true challenge in the automobile insurance industry, as datasets are large, multidimensional, unbalanced and it also requires a unique price determination based on the risk profile of the customer. Furthermore, the price determination of an insurance policy or the validity of the compensation claim, in most cases must be an instant decision. Therefore, the purpose of this research is to identify an easily usable data mining tool that is capable to identify key automobile insurance fraud indicators, facilitating the segmentation. In addition, the methods used by the tool, should be based primarily on numerical and categorical variables, as there is no well-functioning text mining tool for Central Eastern European languages. Hence, we decided on the SQL Server Analysis Services (SSAS) tool and to compare the performance of the decision tree, neural network and Naïve Bayes methods. The results suggest that decision tree and neural network are more suitable than Naïve Bayes, however the best conclusion can be drawn if we use the decision tree and neural network together.

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