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Purpose – This chapter examines whether the underwriting processes of takaful operators for health takaful products conform to shariah.

Methodology/approach – A qualitative research method has been used for this study. Data have been collected from primary sources through interviews and from secondary sources by examining relevant documentation. Interviews were conducted with underwriters from takaful operators A, B, C and D. Interviews were also conducted with the shariah executives of these takaful operators and with shariah experts from two institutions – University A and Research Institute B – for their opinions on the underwriting process. This selection of respondents from those responsible for the underwriting process and from experts in shariah has assisted us in locating data for our research, based on their experience and the practices in which they are involved.

Findings – The study found that the underwriting process used by takaful operators was in accordance with Islamic principles.

Research limitations/implications – The study is limited to four takaful operators in Malaysia who have received awards for best operators; this study focuses on health takaful products.

Originality/value – This study provides a view about the process of risk selection which determines the contribution rate and whether a risk will be acceptable or not to the company.

Introduction: Big data is that disruptive force that affects businesses, industries, and the economy. In 2021, insurance analytics will include more than simply analysing statistics. According to current trends, new insurance big data analytics (BDA) methods will enable firms to do more with their data. The insurance business has traditionally been conservative, but adopting new technology is no longer only a current trend; it must be competitive. Big data technologies aid in processing a huge amount of data, improve workflow efficiency, and lower operating costs.

Purpose: Some of the most recent developments in big data for insurance and how insurers may use the information to stay ahead of their competitors are discussed in this chapter. This chapter’s prime purpose is to analyse how artificial intelligence (AI), blockchain, and mobile technology change the outlook and working of the insurance sector.

Methodology: To achieve our research purpose, we analyse case studies and literature that emphasise how BDA revolutionises the insurance market. For this purpose, various articles and studies on BDA in the insurance market will be selected and studied.

Findings: From the analysis, we find that the use of big data in the insurance business is growing. The development of BDA has proven to be a game-changing technology in insurance, with a slew of benefits. The insurance sector is now grappling with the risks and opportunities that modern technology presents. Big data offers opportunities that every company must avail of. We can safely argue that big data has transformed the insurance sector for the better. The BDA’s consequences have enabled insurers to target clients more accurately. This chapter highlights that new tools and technologies of big data in the insurance market are increasing. AI is emerging as a powerful technology that can alter the entire insurance value stream. The transmission of any type of digital proof for underwriting, including the use of digital health data, might be a blockchain use case (electronic health record (EHR)). As digital forensics becomes easier to include in underwriting, it must expect price and product design changes in the future. In the future, the internet of things (IoT) and AI will combine to automate insurance processes, causing our sector to transform dramatically. We highlight that these technologies transformed insurance practices and revolutionalised the insurance market.

California is no stranger to disaster.

Introduction: Big data in the insurance industry can be defined as structured or unstructured data that can affect the rating, marketing, pricing, or underwriting. The five Vs of big data provide insurers with a valuable framework for converting their raw data into actionable information. These five Vs are specifically: (1) Volume: The need to look at the type of data and the internal systems; (2) Velocity: The speed at which big data is generated, collected, and refreshed; (3) Variety: Refers to both the structured and unstructured data; (4) Veracity: Refers to trustworthiness and confidence in data; and (5) Value: Refers to whether the data collected are good or bad.

Purpose: Insurance companies face many data challenges. However, the administration of big data has allowed insurers to acknowledge the demand of their customers and develop more personalised products. In addition, it can be used to make correct decisions about insurance operations such as risk selection and pricing.

Methodology: We do this by conducting a systematic literature review on big data. Our emphasis is on gathering information on the five Vs of the big data and the insurance market. Specifically, how big data can help in data-driven decisions.

Findings: Big data technology has created an endless series of opportunities, which have ensured a surge in its usage. It has helped businesses make the process more systematic, cost-effective, and helped in the reduction in fraud and risk prediction.

This paper details the history of the movement, which attempted to turn the occupation of life insurance salesman into an insurance professional. It will relate the criteria for professionalism spelled out by Solomon Huebner and attempt to spell out the ethical obligations such professionalism demands. Using some case studies, the paper will examine some common difficulties faced by insurance professionals. The paper concludes by examining the development of the insurance sales professional into the financial planner and adviser and projects some of the ethical requirements entailed by this future direction.

This book is divided into four parts: (1) Institutions and policy, (2) The economics of hazards, (3) Community involvement, and (4) Management and ecology. The first section contains four chapters that cover the issue of wildfire from historical and institutional perspectives. “Forest fire history: learning from disaster” by Roger Kennedy (Chapter 2) addresses the pressures and politics giving rise to the current situation. “Fire Policy in the Urban–Wildland Interface in the United States: What are the Issues and Possible Solutions?” (Chapter 3) by Scott Stephens and Brandon Collins provides a summary of the problems associated with wildfire hazards in UWI communities, discusses fuels-treatment options for local governments and property owners, and analyzes challenges to planning, drawing on experiences from Australia. “Wildfire hazard mitigation as “safe” smart growth” (Chapter 4) by Robert Paterson looks at how smart growth principals are being adapted to fire-safe land use planning and zoning, including a discussion of the role of regional coordination and state-level planning requirements. “Practical and institutional constraints on adopting wide-scale prescribed burning: lessons from the mountains of California” (Chapter 5) by Kurt Menning details the problems of fuel accumulation due to suppression, the potential power of prescribed burning as a management tool, and the social and regulatory obstacles to implementing wide-scale prescribed burning programs.

Few issues in business ethics are as polarizing as the practice of risk classification and underwriting in the insurance industry. Theorists who approach the issue from a background in economics often start from the assumption that policy-holders should be charged a rate that reflects the expected loss that they bring to the insurance scheme. Yet theorists who approach the question from a background in philosophy or civil rights law often begin with a presumption against so-called “actuarially fair” premiums and in favor of “community rating,” in which everyone is charged the same price. This paper begins by examining and rejecting the three primary arguments that have been given to show that actuarially fair premiums are unjust. It then considers the two primary arguments that have been offered by those who wish to defend the practice of risk classification. These arguments overshoot their target, by requiring a “freedom to underwrite” that is much greater than the level of freedom enjoyed in most other commercial transactions. The paper concludes by presenting a defense of a more limited right to underwrite, one that grants the legitimacy of the central principle of risk classification, but permits specific deviations from that ideal when other important social goods are at stake.

Insurance is a dynamic business highly affected by the environment it operates in. Alongside the practice of insurance, come principles on which the business of insurance is based. One of the principles, that is not short of controversy, is the doctrine of utmost good faith which requires full disclosure of material facts by the contracting parties. The author, in this chapter, explored the need for change in the regulation of this insurance principle and discussed the drivers behind these changes and the commensurate effect on the practice of insurance. The author delved into case studies, practices and literature and traced back to the origins of the long-standing principle of utmost good faith. This principle is one on which the acceptance (or otherwise) and premium of an insurance contract is based and through which certain factors and developments in the industry have led to a major reform in some jurisdiction.

The author discussed the development and drivers leading to reform and concluded that reform is ultimately the result of public outcry, through individual cases heard predominantly in court, a well-established reform committee, the socio-political environment of that country and the advent of technology. Moreover, although, different countries have their own jurisdictions, laws and regulations as well as market practices and international trade have made it imperative to have common technical practices between market players especially in insurance, which depends on the spread of risks between countries internationally. Smooth insurance business can only be established if this reform is harmonised between jurisdictions.