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The purpose of this study is to examine the impact of board characteristics (board size, board independence and duality) on the performance of takaful insurance providers with distinguishable muamalah contracts (wakalah and hybrid) moderated by ownership concentration.

The sample consists of 30 takaful insurances. The authors divided it into two subsamples: 18 insurance companies using wakalah contracts provided by Southeast Asia and 12 insurance companies using hybrid contracts provided by the Gulf Cooperation Council over the period 2010–2020. For data analysis, the authors used the partial least squares path modeling method.

The results show that the larger the board of directors and the higher the number of independent directors, the greater the takaful performance in both the wakalah and hybrid subsamples. Nondual functions improve the takaful performance in both the wakalah and hybrid subsamples. The results also reveal that a highly concentrated ownership structure positively (negatively) moderates the relationship between board size and takaful performance in the wakalah (hybrid) subsamples. Moreover, highly concentrated ownership insignificantly (negatively) moderates the relationship between independent directors and takaful’s performance in the hybrid (wakalah) subsample. Furthermore, a highly concentrated ownership structure insignificantly (negatively) moderates the relationship between the nondual structure and takaful performance in the wakalah (hybrid) subsample.

This study contributes to the understanding of the moderating role of a highly concentrated ownership structure between the characteristics of the board of directors and the performance of takaful insurance, which applies wakalah and hybrid contracts. In addition, this study contributes to takaful insurance by determining the appropriate board characteristics that must be adopted to achieve oversight and improve performance. Regulators should appreciate this contribution to the formulation of suitable approaches for efficiently supervising takaful insurance activities.

Despite the susceptibility of cotton crops to pest attacks in the Malwa Region of Indian Punjab, no crop insurance policy has been implemented there– not even the Pradhan Mantri Fasal Bima Yojana (PMFBY), which is a central scheme. Therefore, this paper attempts to gauge the likely impact of the PMFBY on Punjab cotton farmers and assess the changes needed for greater uptake and effectiveness of PMFBY.

The authors have conducted a primary survey to conduct this study. Initially, the authors compared the costs of cotton production with the returns in two scenarios (with and without insurance). Additionally, the authors have applied a logistic regression framework to examine the determinants of the willingness of farmers to participate in the crop insurance market.

The study finds that net returns of cotton crops are conventionally small and insufficient to cope with damages from crop failure. Yet, PMFBY will require some modifications in the premium rate and the level of indemnity for its greater uptake among Punjab cotton farmers. Additionally, using the logistic regression framework, the authors find that an increase in awareness about crop insurance and farmers' perceptions about their crop failure in the near future reduces the willingness of the farmers to participate in the crop insurance markets.

The present study looks for the viability of PMFBY in Indian Punjab for the cotton crop, which can also be extended to other crops.

Punjab could also use crop insurance to encourage diversification in agriculture. There is a need for special packages for diversified crops under any crop insurance policy. Crops susceptible to volatility due to climate-related factors should be identified and provided with a special insurance package.

There exist very scant studies that have discussed the viability of a central crop insurance scheme in the agricultural-rich state of India, i.e. Punjab. Moreover, they do not also focus on crop losses accruing due to pest and insect attacks.

This study examined the influence of income and health insurance on the health-seeking behaviour of rural residents, addressing the concerns of endogeneity and heterogeneity bias.

A two-stage residual inclusion was utilised to correct self-selection-based endogeneity problems arising from health insurance membership.

This study provides support for Andersen's behavioural model (ABM). Income and health insurance positively stimulate rural residents' use of modern healthcare services, but the effect of insurance risks a downward bias if treated as exogenous. Further, the effect of health insurance differs between males and females and between adults and the elderly.

This study advances the literature, arguing that, within the ABM framework, enabling (i.e. income and insurance) and predisposing factors (i.e. age and gender) complement each other in explaining rural residents' use of modern health services.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0223

The return behavior of customers has a great impact on the e-retail industry and has resulted in the emergence of return-freight insurance (RI). Additionally, customer loss aversion arising from returns affects e-retailers' decisions and manufacturers' profits. Therefore, the main purpose of the authors' study is to determine how e-retailers and manufacturers choose their RI strategy and pricing according to customers' loss aversion.

The authors propose three scenarios: no RI, customer purchase RI and free e-retail RI (FRI). Meanwhile, the authors also model a Stackelberg game between e-retailers and manufacturers for analysis. Then, according to customer return behavior and loss aversion, the authors study the optimal pricing decision and RI premium allocation scheme for e-retailers and manufacturers under different scenarios.

It was found that the loss sensitivity reduces customers' willingness to buy RI, which is not conducive to the development of e-retailers and manufacturers. Additionally, with higher loss sensitivity, e-retailers and manufacturers offer FRI to gain higher profits, which supports the implementation of the FRI strategy.

The authors introduce customers' loss aversion into RI to analyze the optimal pricing decisions and profits of e-retailers and manufacturers, enriching the application of loss aversion theory. In addition, this study analyzes the two-way cost-sharing mechanism between manufacturers and e-retailers to provide FRI, which provides a theoretical basis for RI premium sharing.

The purpose of this study is to extend previous literature and examine risk management efficiency among Takaful (TI) and conventional insurance (CI) firms in the Kingdom of Saudi Arabia (KSA) and the United Arab Emirates (UAE). This study also aims to determine whether Takaful firms are more efficient in managing risks, compared to CI firms.

This study examines risk management efficiency among Takaful and CI firms in the KSA and the UAE for a sample of 20 insurance firms comprising 10 TI firms and 10 CI firms for the period 2018–2020. The authors use Data Envelopment Analysis to estimate efficiency scores among insurance companies to compare risk management efficiency between CI and TI companies and apply two-way analysis of variance to statistically analyze the data.

The results of this study show that TI firms have a higher efficiency score than CI firms, but not significantly and that insurance firms in KSA have higher efficiency scores than insurance firms in UAE. The results also reveal that TI firms did not significantly outperform CI firms in managing risks; however, there is a significant difference in efficiency scores among insurance firms in KSA and UAE.

The authors also contribute to the literature by providing important insights into how the operational business environment of the country can influence the risk management efficiency of CI and TI companies.

This study promotes understanding the insurance industry, its efficiency and risk management, thus offering key implications for decision-makers, regulators and managers associated with the insurance industry in UAE, KSA and other emerging insurance markets. Regulators could provide enabling policies that foster and promote the business environment, as there is a need to improve risk management efficiency in the insurance industry. Also, the results of this study show that the operating status of the UAE insurance industry in terms of efficiency and risk management is lower than that of KSA. Hence, it would be useful for UAE managers and regulators in taking steps to improve the overall insurance industry market.

The results of this study make significant contributions by providing new insights to the existing literature on the risk management efficiency in the insurance industry, as it adopts a different methodological approach that examines risk management efficiency among TI and CI companies.

The purpose of this paper is to discuss the legal barriers to termination of an insurance arrangement where there is suspicion of money laundering when paying insurance premiums.

Trials in court between insurance firm and outlaw biker gangs regarding insurance of their clubhouses.

Protection of insured seems more important than prevention of money laundering.

This is a case study that cannot be generalized.

Anti money laundering is difficult when competing with other considerations.

Accusations of money laundering is not sufficient to terminate an insurance contract. Rather, solid evidence is needed.

This is a real case of failing anti-money laundering efforts.

The study aims to address a critical gap in existing healthcare payment schemes and care service pricing by recognizing the influential role of patients' decisions on self-management efforts. These decisions not only impact health outcomes but also shape the demand for care, subsequently influencing care costs. Despite the significance of this interplay, current payment schemes often overlook these dynamics. The research focuses on investigating the implications of a novel behavior-based payment scheme, designed to align incentives and establish a direct connection between patients' decisions and care costs. The primary objective is to comprehensively understand whether and how this innovative payment scheme structure influences key stakeholders, including patients, care providers, insurers and overall social welfare.

In this paper, we propose a game-theoretical model to incorporate the performance of self-management with the demand for healthcare service, compare the patient's effort decision for self-management and provider's price decision for healthcare service under a behavior-based scheme with that under two implemented widely payment schemes, that is, co-payment scheme and co-insurance scheme.

Our findings confirm that the behavior-based scheme incentives patient self-management more than current schemes while reducing their possibility of seeking healthcare service, which indirectly induces the provider to lower the price of the service. The stakeholders' utility under various payment schemes is sensitive to the cost of treatment and the perceived health utility of patients. Especially, patient health awareness is not always benefited provider profit, as it motivates patient self-management while diminishing the demand for care.

We provide a novel framework for characterizing behavior-based payment schemes. Our results confirm the need for modification of the current payment scheme to incentivize patient self-management.

The global research evidences indicate that the technology adoption in case of agribusiness has a potential to enhance the performance and bring operational efficiency. India is the world’s largest producer as well as consumer of milk but struggles with yield per cattle, overall productivity, low rate of technology acceptance and adoption, health detection of milching units, animal data recording and presence of dairy products in the global market. The purpose of this study is to focus on identifying the challenges of technology adoption in dairy farms and constructing a hierarchical model using soft systems methodology.

This study uses nominal group technique-based discussion with domain experts and personal interviews with dairy farm owners/managers for the identification of challenges, fuzzy interpretative structural modeling as well as FMICMAC to develop a hierarchical model of challenging elements and to divide the identified elements into four categories based on the dominance of driving-dependence power.

This research has developed a list of 12 challenges affecting the technology adoption in a dairy farm business unit, identified through the personal interviews with 60 dairy farms across three highest milk-producing states of India in terms of annual milk output – Haryana, Punjab and Uttar Pradesh. Lack of government support followed by lack of educational opportunities in dairy-based education were found as the most crucial and high driving challenges, whereas high cost, huge investment and low acceptance of decision-maker were found as the most dependent challenges of technology adoption.

This research is one step ahead of interpretive structural modeling that considers the fuzzy-based dominance in the model to showcase the degree of relationship along with its existence, but it lacks to statistically validate the findings using techniques like SEM.

This paper has developed a list of challenges in adoption of technology along with their inter-relationships to highlight the required focus challenge that drives or is dependent on the other challenges. The goal is to bring performance improvement and assist Indian dairy farm business stakeholders or decision-makers in formulating strategic and action plans and help policy planners to make favorable policies based on the understanding of contextual relationship between challenges.

In Indian context, dairy is an important part of agriculture sector, and milk is an essential item that facilitates income generation to small and rural households and a source item for several other businesses and activities. The results of this research suggested the policy planners and government to ensure subsidized and insured technologies, training support and facilities, educational opportunities and efforts for promotion of technology adoption among dairy farmers. The suggestions are purely on the basis of the relevance of challenges in the hierarchy and can play a significant role in improving the level of technology adoption and can ultimately uplift the social and economic well-being from micro-level of farmers to macro-stage concerning economic development of India.

To the best of the authors’ knowledge, this study is purely original and outcome of the research conducted by authors.

This paper aims to develop a novel approach to Islamic deposit insurance, specifically addressing the deficiencies in the current prevailing models of Islamic deposit insurance.

The analysis in this paper adopts a qualitative content analysis approach to review the existing literature on Islamic deposit insurance and propose a new model.

The proposed model includes a revised scheme. In the event of a bank failure, the funds used to reimburse depositors of the failed bank are divided into two distinct categories. The first category includes nonrepayable premiums that have been previously paid by the failed bank and managed by the Islamic deposit insurance agency or Islamic deposit insurance corporation. The second category comprises qard hasan, an interest-free loan provided by the Islamic deposit insurance agency or Islamic deposit insurance corporation using the deposit insurance funds from the collective pool of premiums of other banks.

The proposed model ensures that well-managed banks are not unfairly burdened by the failures of their poorly managed counterparts, thus preventing a sense of unfairness and inefficiency. Implementing the proposed model may result in higher business practices and risk management standards, ultimately leading to better depositors’ protection and banking system’s stability.

This paper offers a significant contribution to the limited literature on Islamic deposit insurance. The proposed model enriches the discourse and offers valuable insights for the future development of Islamic banking.

The global insurance industry has implemented International Financial Reporting Standards (IFRS) 17 insurance contracts effective from January 1, 2023. The Islamic insurance (Takaful) industry would find itself at a crossroads if IFRS 17 should also be adopted for Takaful contracts. This paper aims to explore the process of IFRS 17 adoption for Takaful contracts in Malaysia and the implementation of the standard in the early adoption year.

Applying a qualitative approach, this study uses a literature review search and interviews to analyze deeper into the adoption process in Malaysia. Using institutional work, this paper analyses the process timeline, the actors and their roles and actions in the adoption process. The authors interviewed 12 informants from different backgrounds comprising the national standard setters, preparers and the IFRS 17 consultants.

The adoption process of IFRS 17 in Malaysia is an interplay between the accounting standard setter, the government and the industry associations who are the major actors in the process. These actors have different roles and contributions, but they work together to accomplish a single vision, adopting IFRS 17 for all. There is an interplay between actors to disrupt the accounting practice and involved in creating various institutional work to ensure the concerns of Takaful practitioners are well addressed. This research also found that the companies faced significant challenges in applying the standard in the early months of implementation.

This paper contributes to the literature by providing an explanation and examples of the IFRS adoption for Shariah transactions. The story of Malaysia can become a case study for other countries that are still deciding on adopting IFRS 17, especially for the Islamic insurance industry.

The story of Malaysia can become a case study for other countries that are still deciding on adopting IFRS 17, especially for the Islamic insurance industry.

This paper contributes to the literature on the debate of the application of IFRS to Shariah transactions by using institutional work theory as a framework.