scholarly journals Challenges and Ways to Develop Insurance Industry in KSA Market

2016 ◽  
Vol 5 (2) ◽  
pp. 152 ◽  
Author(s):  
Maher Taib Toukabri ◽  
Hafedh Hedi Ibrahim
Keyword(s):  
Life Insurance ◽  
Emotional Regulation ◽  
Insurance Industry ◽  
Opinion Leadership ◽  
Theoretical Interest ◽  
Measurement Scales ◽  
Insurance Portfolio ◽  
Two Samples ◽  
Sample Count ◽  
Insurance Data

Psychology and ethnic play a central role within Saudi Arabia market. Thus, this editorial argues the cultural and emotion effects on the Saudi consumption of life insurance. Even thought, the present paper intend to understand the reasons of the slowly growth of the purchase of this product and how to increase its rate in the insurance portfolio? Subsequently, this study target to confirm the significant effects of religiosity, optimism, opinion leadership, emotional regulation on Saudi behavior to subscribe in life insurance. Data was collected from two samples. The first sample, count 210 respondents, worn to purify the measurement scales of the variables studied in the exploratory phase. The second sample was administered from belonging 654 policyholders in order to confirm the measures instruments, to verify the hypotheses, validate and re-specify the model. Thus, this study bears a theoretical interest for researchers and it is useful for practitioners in this sector.

scholarly journals Contributions from Spatial Models to Non-Life Insurance Pricing: An Empirical Application to Water Damage Risk

Mathematics ◽  
2021 ◽  
Vol 9 (19) ◽  
pp. 2476
Author(s):  
Maria Victoria Rivas-Lopez ◽  
Roman Minguez-Salido ◽  
Mariano Matilla Matilla Garcia ◽  
Alejandro Echeverria Echeverria Rey
Keyword(s):  
Life Insurance ◽  
Spatial Information ◽  
Spatial Models ◽  
Spatial Error ◽  
Insurance Pricing ◽  
Insurance Portfolio ◽  
Spatial Autoregressive ◽  
Spatial Autoregressive Models ◽  
Insurance Data ◽  
Damage Risk

This paper explores the application of spatial models to non-life insurance data focused on the multi-risk home insurance branch. In the pricing modelling and rating process, spatial information should be considered by actuaries and insurance managers because frequencies and claim sizes may vary by region and the premium should be different considering this rating variable. In addition, it is relevant to examine the spatial dependence due to the fact that the frequency of claims in neighbouring regions is often expected to be more closely related than those in regions far from each other. In this paper, a comparison between spatial models, such as spatial autoregressive models (SAR), the spatial error model (SEM), and the spatial Durbin model (SDM), and a non-spatial model has been developed. The data used for this analysis are for a home insurance portfolio located in Spain, from which we have selected peril of water coverage.

Assessing the Impact of Suicide Exclusion Periods on Life Insurance

Crisis ◽  
2010 ◽  
Vol 31 (4) ◽  
pp. 217-223 ◽  
Author(s):  
Paul Yip ◽  
David Pitt ◽  
Yan Wang ◽  
Xueyuan Wu ◽  
Ray Watson ◽  
...  
Keyword(s):  
Life Insurance ◽  
Accidental Death ◽  
Insurance Policy ◽  
Death Rates ◽  
Insurance Policies ◽  
Suicidal Death ◽  
Insured Individual ◽  
The Impact ◽  
Insurance Data ◽  
The Relationship

Background: We study the impact of suicide-exclusion periods, common in life insurance policies in Australia, on suicide and accidental death rates for life-insured individuals. If a life-insured individual dies by suicide during the period of suicide exclusion, commonly 13 months, the sum insured is not paid. Aims: We examine whether a suicide-exclusion period affects the timing of suicides. We also analyze whether accidental deaths are more prevalent during the suicide-exclusion period as life-insured individuals disguise their death by suicide. We assess the relationship between the insured sum and suicidal death rates. Methods: Crude and age-standardized rates of suicide, accidental death, and overall death, split by duration since the insured first bought their insurance policy, were computed. Results: There were significantly fewer suicides and no significant spike in the number of accidental deaths in the exclusion period for Australian life insurance data. More suicides, however, were detected for the first 2 years after the exclusion period. Higher insured sums are associated with higher rates of suicide. Conclusions: Adverse selection in Australian life insurance is exacerbated by including a suicide-exclusion period. Extension of the suicide-exclusion period to 3 years may prevent some “insurance-induced” suicides – a rationale for this conclusion is given.

Effective Customer Support System of Life Insurance Companies

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Rajesh Srivastava ◽  
Dr. Preeti Sharma
Keyword(s):  
Life Insurance ◽  
Economies Of Scale ◽  
New Technologies ◽  
Insurance Industry ◽  
Integrated Approach ◽  
Customer Experience ◽  
Disruptive Innovation ◽  
Insurance Companies ◽  
Insurance Business ◽  
Strategic Imperative

Increased competition, new technologies and the shift in power from the provider to the customer have produced unrelenting pressure on life insurance business. The market forces point to one overwhelming strategic imperative: customer-focused strategy. Customers are willing to build long-term relationships based on trust and mutual respect with firms that provide a differentiated and personalized service offering. Over the past few years, life insurance industry responded to intensified competition and high customer attrition by entering each other’s markets to capture greater “wallet share” and ostensibly lower their economies of scale. The service delivery process is influenced by quality of personnel, information technology, internal processes, human resource practices, and even an institution’s own change orientation. Now a day’s customers are demanding seamless, multi-channel sales and service experiences. Simultaneously, other players are looking for opportunities to invade this space or to redefine it through disruptive innovation. The result is forcing life insurance companies to examine a more balanced, integrated approach to the customer experience and growth. This research, we analyze the need, preference and satisfaction of customers in life insurance business and provide perspective on how to improve the customer experience.

THE MANIFESTATIONS OF CUSTOMER LOYALTY IN INDIAN LIFE INSURANCE INDUSTRY: AN EMPIRICAL EXAMINATION

2016 ◽  
Vol 12 (02) ◽  
Author(s):  
Medha Srivastava ◽  
Alok Kumar Rai
Keyword(s):  
Customer Loyalty ◽  
Life Insurance ◽  
Recent Literature ◽  
Insurance Industry ◽  
Empirical Examination ◽  
Consumption Decisions ◽  
Life Insurance Industry ◽  
Product Service ◽  
Brand Attributes ◽  
Loyal Customers

The widespread reverence for customer loyalty among marketers and businesses all across the globe is inspired from its manifestations since it’s the consumption decisions of loyal customers that leave a mammoth mark over the revenues and growth of a firm. A throng of behavioural, attitudinal and cognitive manifestations of customer loyalty are available in the literature some of which are widely acknowledged and accepted whereas others call for further inquiry. These manifestations of loyalty among customers are generally pinned down through their actions (Zeithaml et al., 1996; Jones et al., 2000) or their attitude towards the company or a particular product/ service (Javalgi and Moberg, 1997; Butcher et al., 2001). However, recent literature suggests that another outcome of loyalty is customer preferring a particular service provider to others based upon the conscious evaluation of brand attributes (Gremler and Brown, 1996; Butcher et al., 2001). The paper intends to explore and empirically test various manifestations of customer loyalty in the context of life insurance services thereby, extending the existing knowledge of customer loyalty by outlining the distinctive nature of customer loyalty outcomes and offering useful insights to the marketing practitioners in life insurance industry. The study further groups these manifestations into distinct outcome classes and empirically evaluates them by comparing and contrasting each with the other. It also aims to enrich the literature of customer loyalty by developing and validating a scale for measurement of customer loyalty outcomes with special reference to life insurance services.

scholarly journals Applications of Clustering with Mixed Type Data in Life Insurance

Risks ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 47
Author(s):  
Shuang Yin ◽  
Guojun Gan ◽  
Emiliano A. Valdez ◽  
Jeyaraj Vadiveloo
Keyword(s):  
Life Insurance ◽  
Clustering Algorithm ◽  
Early Stage ◽  
Financial Statements ◽  
Life Insurers ◽  
Insurance Portfolio ◽  
Policy Information ◽  
Spatial Attributes ◽  
Type Data ◽  
Significant Mortality

Death benefits are generally the largest cash flow items that affect the financial statements of life insurers; some may still not have a systematic process to track and monitor death claims. In this article, we explore data clustering to examine and understand how actual death claims differ from what is expected—an early stage of developing a monitoring system crucial for risk management. We extended the k-prototype clustering algorithm to draw inferences from a life insurance dataset using only the insured’s characteristics and policy information without regard to known mortality. This clustering has the feature of efficiently handling categorical, numerical, and spatial attributes. Using gap statistics, the optimal clusters obtained from the algorithm are then used to compare actual to expected death claims experience of the life insurance portfolio. Our empirical data contained observations of approximately 1.14 million policies with a total insured amount of over 650 billion dollars. For this portfolio, the algorithm produced three natural clusters, with each cluster having lower actual to expected death claims but with differing variability. The analytical results provide management a process to identify policyholders’ attributes that dominate significant mortality deviations, and thereby enhance decision making for taking necessary actions.

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