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Moral hazard is a concept that is central to risk and insurance management. It refers to change in economic behavior when individuals are protected or insured against certain risks and losses whose costs are borne by another party. It asserts that the presence of an insurance contract increases the probability of a claim and the size of a claim. Through the US Affordable Care Act (ACA) of 2010, this study seeks to examine the validity and relevance of moral hazard in health care reform and determine how welfare losses or inefficiencies could be mitigated.

This study is divided into three sections. The first contrasts conventional moral hazard from an emerging or alternative theory. The second analyzes moral hazard in terms of the evolution, organization, management, and marketing of health insurance in the USA. The third explains why and how salient reform measures under the ACA might induce health care consumption and production in ways that could either promote or restrict personal health and safety as well as social welfare maximization.

Insurance generally induces health care (over) consumption. However, not every additional consumption, with or without adverse selection, can be considered wasteful or risky, even if it might cost insurers more in the short run. Moral hazard can generate welfare and equity gains. These gains might vary depending on which ACA provisions, insured population, covered illnesses, treatments, and services, as well as health outcomes are taken into account, and because of the relative ambiguities surrounding definitions of “health.” Actuarial risk models can nonetheless benefit from incorporating welfare and equity gains into their basic assumptions and estimations.

This is the first study which examines the ACA in the context of the new or alternative theory of moral hazard. It suggests that containing inefficient moral hazard, and encouraging its desirable counterpart, are prime challenges in any health care reform initiative, especially as it adapts to the changing demographic and socio-economic characteristics of the insured population and regulatory landscape of health insurance in the USA.

The service sector is a major segment of the economy and contributes to the gross national product in a significant manner. It complements the manufacturing sector as organizations become global in nature. Sources of raw material may be quite dispersed from the manufacturing site. Further, not all manufacturing may take place in one particular location. Based on the availability of expertise and the required operations to produce the product, components, subassemblies, or assemblies could be produced in different geographical locations. This creates the necessity to transport raw material, components, or assemblies in a timely manner from one location to another based on the needs of the supply chain. All customers prefer not only an efficient delivery system but also one that is damage-free. In this chapter, we consider a model whereby service organizations offer a contract for damage protection based on product value. The objective is to determine the premium to be charged by the service organization so as to at least break even or accomplish a desired profit margin.

Over the last decade, technological and social trends have significantly influenced the relationship between customers and insurers. New buying patterns, price comparison platforms and the usage of different interaction channels driving single-product purchases and impacting lapses have influenced insurers’ customer portfolios and development. The purpose of this paper is to study the features driving the customer relationship along three areas, namely, customer acquisition, development and retention.

After defining 14 related hypotheses, the authors use econometric analyses to quantitatively support these hypotheses in the three areas of interest. The authors build on a large-scale longitudinal data set from a Swiss insurance company covering the period from 2005 to 2014 and including 2,757,000 customer-years. The data comprise information on private customers, their contract history, including coverage and losses and the channels used for buying insurance. This analysis focuses on the two most common non-life insurance products, namely, household/liability and car insurance.

The authors provide descriptive statistics and results from econometric analyses to determine the significant features and patterns affecting customer development and retention. Among the main results, the authors underline the significant influence on cross-selling given by the customer’s age and the interaction channel. Customers from rural regions are more loyal and likely to conduct cross-buying when compared to their peers from urban regions. Car insurance holders are more likely to lapse than household/liability insurance clients. Finally, while newly acquired customers tend to buy only a single product, the authors show the importance of cross-selling for retaining customers. In fact, customer retention is positively influenced by the number of products hold.

This work is relevant for academics and practitioners alike, adding a quantitative basis to the understanding of managing customer relationships and for the development of further prospective models. Further work could investigate or add products, extend the study to other companies and focus on customer development with time.

This study explores a large-scale longitudinal data set. The analyses of customer acquisition, development and retention can support insurers to construct their own models for customer relationship management.

The purpose of this paper is to identify the correlates of crop insurance adoption and estimate the impact on debt and farm income.

The authors used nationally representative data from National Sample Survey Office (NSSO), which consisted of 35,200 farming households. Logit and propensity score matching (PSM) (nearest neighbor, caliper and kernel matching) techniques were used.

With only around 5% of households insuring their crops and 87% of them not receiving claims, crop insurance in India has failed. Logit model estimates of correlates of adoption indicated that households with larger family size, lower social group, less education, lower standard of living and poor were more likely to be left out of the ambit of crop insurance. Further, propensity score estimates suggested that households with access to crop insurance had significantly lesser outstanding debt with positive effect on input costs and crop income. The authors’ results were in contrast to the risk balancing theory.

Results of our work encourage us to rethink and restructure the crop insurance policy design in India. With credit and insurance markets interlinked by design and as the risk balancing in the farm business found absent, policies to strengthen both the markets are the need of the hour. To encourage more farmers to take up crop insurance, revenue-based indemnity calculation could be tried in India.

Impact estimates from three different algorithms of matching were compared and tested for robustness. Consistent average treatment effect on treated (ATT) was considered for interpretation and policy implications. Since the data are from a nationally representative survey, results are believed to be of extreme value to policy makers and insurance providers as it can be generalized.

The paper seeks to conduct an exploratory study into how positive and negative brand belief levels differ before, and change after, consumers defect from a brand or take up a new brand.

Two longitudinal studies in banking and insurance were used. These included repeat interviews with the same consumers. Brand buying behaviour and positive and negative brand beliefs were measured and then compared across those who defected from a brand and those who took up a new brand.

Prior to defection, differences in both positive and negative perceptions were apparent in those who subsequently defected. There was also evidence of a readjustment after defection to match the new user status. There was evidence that this readjustment did not just occur in the behaviour change period, but continued to occur afterwards, with differences over time much greater for the longer time frame interview than evident for the shorter time frame. Negative beliefs were more discriminating when the defection was customer‐initiated rather than during a renewal process. New brand users displayed a higher propensity to give positive beliefs prior to taking up the brand compared to non‐users who did not take up the brand. These changes further continued post‐switching as new users adjusted to their new status.

This research contributes to the understanding of the brand belief‐behaviour relationship using two very different longitudinal studies. It also investigates negative brand beliefs, which are rarely researched, and compares the effects of negative beliefs with that of positive beliefs.

Constrained input use and lower productivity of rural establishments may be associated with restricted or concentrated access to financial resources, especially in developing countries. Meanwhile, agricultural activity entails risks associated with the volatility of net cash flows and external events, which may discourage riskier but higher return investments (e.g. technology). As rural credit can alleviate the former, and rural insurance may help alleviate the latter, the combination of both policies might endorse each other. The purpose of this study is to analyze the use of rural credit and rural insurance policies with respect to productivity and crop area, in São Paulo state, Brazil, using farmer's microdata from two surveys realized in 2007/08 and 2016/17.

This study uses propensity score matching and the entropy balance approaches in a complementary way. This study compared three policy treatments – rural credit, rural insurance and both policies combined, against establishments that received neither one. The analysis considered sugarcane, grain and grape crops separately and employed farmer's microdata. Moreover, the analysis was stratified into two categories: establishments owned by family farmers and those that did not.

Rural credit policy is related to higher productivity and larger cultivated area for grains and only to larger area for grape crops in the last analyzed period (2016/17). Rural insurance, as a unique policy or combined with credit, is related to higher productivity and cultivated areas, for all analyzed crops, only in the second period (2016/17), as the policy became more accessible to farmers. Heterogeneity regarding crops and farmers might influence the effectiveness of these policies. Despite rural insurance being related to a better performance regarding the outcome variables, it still reaches a small share of farmers, especially when combined with credit.

Many studies about the effectiveness of rural credit in Brazil have been conducted throughout the years, while there have been fewer studies regarding rural insurance since it became an important policy in the mid-2000s. However, few studies have conducted an analysis comparing its individual and interactive influences, with such level of disaggregation, on a farm-level database, considering the heterogeneity of the data and the different categories of farmers.

The purpose of this paper is to investigate the relations between the directors' and officers' (D&O) insurance and digital transformation of Chinese-listed companies to provide insights into triggers of digital transformation from the perspective of D&Os' incentive plan.

Based on a panel dataset of 2,590 listed manufacturing companies in China from 2017 to 2020, and using a textual analysis of annual reports, this paper empirically examines the impact of D&O insurance on digital transformation. The authors investigate the mechanism through a mediating model and apply a series of robustness tests including firm fixed effect model, propensity score matching and changing key measures.

The research shows that the digital transformation has been negatively influenced by D&O insurance. The long coverage duration of D&O insurance significantly lowers the level of digital transformation. The moral hazard problem caused by D&O insurance has hampered digital transformation through reducing explorative innovation, while there has been no significant change in innovation quantity. Under the coverage of D&O insurance, firms with worse internal governance and state-owned firms are more reluctant to invest in risky transformation than their counterparts.

Based on a textual analysis of annual reports, this paper empirically tests the influential mechanism of D&O insurance coverage on digital transformation. The authors provide insights into non-tech triggers of digital transformation and uncover how incentive plans influences D&Os' behaviors. This paper provides a new angle to the debate on governance-strengthening and governance-weakening role of D&O insurance.

The purpose of this paper is to present a multichannel segmentation approach to identifying customer segments based on actual customer channel usage in the post-purchase phase in the health insurance industry.

A multinomial regression model and count regression models were estimated to describe the profiles of customer segments and the frequency of channel usage based on generations and sociodemographic variables.

This study identified generational differences in channel usage. Single female customers from the Pre-Boomer or Baby Boomer generation and customers living in states with lower incomes are more likely to use call centres. Website users tend to live in regions with higher per capita income. Multichannel users are, on average, more frequent users of both the website and call centres. In terms of sociodemographics, they display a more heterogeneous profile.

The proposed segmentation needs to be enriched with additional variables such as customers’ health status or channel usage motivations.

Customers, who are male, married and from Generations Y and X, are more likely to use the website. Their propensity to switch to a digital channel could be investigated further to develop targeted migration strategies. Multichannel users are, on average, more frequent users of all channels. To avoid increased channel costs, segments should be analysed in terms of their size and profit potential to help allocate marketing investment more efficiently.

As opposed to existing research, the proposed segmentation approach is based on transactional data of channel usage from a real company, combined with analyses using generations and sociodemographic variables.

Against the background that Ghanaians seldom purchase insurance policies, the purpose of this paper is to investigate the determinants of life insurance uptake among male and female household heads in Ghana.

The study employs data on 775 male and 233 female household heads from the sixth round of the Ghana Living Standards Survey. Adjusted Wald test statistics and logistic regressions are employed for the empirical estimations.

Results from the adjusted Wald test show that the sampled male household heads significantly differ from their female counterparts in terms of the selected socioeconomic and demographic characteristics. Though ill health status, higher wealth, being self-employed or in wage or salaried employment and residing in either of the three northern regions (upper east, upper west and northern regions) in Ghana broadly affect the demand for life insurance among both male and female heads, other factors are peculiar to either parties. Particularly, whereas female heads who are married and those with more dependants have a higher propensity of purchasing life insurance policies, their male counterparts with higher education are more likely to buy life insurance policies.

The paper adds to the paucity of cross-sectional studies on life insurance demand in Africa.

Based on the explored determinants, insurers could better regulate the purchase of their products by taking into consideration the gender differences to maximize their sales and enhance economic growth and development.

This paper explores the gender dynamics in the determinants of life insurance demand in a developing country, Ghana. Besides, findings from related literature are reported to be mixed. Though the current paper is not wholly nationally representative, it utilizes data from across all the ten administrative regions of Ghana. To the best of the authors’ knowledge, no prior study has been conducted in this manner.

Life insurance remains an essential part of financial and social security. The insurance penetration rate is high in the developed countries but very low in developing countries such as Malaysia, with only 4.8% penetration and extremely low underwritings. Therefore, this study aims to scrutinize the underlying determinants of a household purchase behaviour of life insurance.

The data generated from the administration of survey questionnaires to 325 households were analysed, using structural equation modelling to obtain the research purposes.

The analysis reveals that the knowledge of life insurance, attitudes towards life insurance, subjective norms (SN), trust and risk perception, affect the tendency of a household to purchase life insurance. The results of this study also highlight that households’ purchase-propensity influences the purchase behaviour of life insurance. Concurrently, the intention to purchase has mediating effects on explanatory variables and purchase behaviour.

This paper established awareness, SN, perceived behavioural control, trust and risk perception as the key determinants promoting positive attitudes towards purchasing life insurance. The findings of this study can be successfully applied to different stakeholders in a similar context. This study suggests that the managers of life insurance companies should adjust their policy guidelines in accordance with the positive relationship between the constructs and consumers’ intention to purchase life insurance.