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The development of digital technology has provided technical support to various industries. Specifically, Internet-based freight platforms can ensure the high-quality development of the logistics industry. Online freight platforms can use cargo transportation insurance to improve their service capabilities, promote their differentiated development, create products with platform characteristics and increase their core competitiveness.

This study uses a generalised linear model to fit the claim probability and claim intensity data and analyses freight insurance pricing based on the freight insurance claim data of a freight platform in China.

Considering traditional pricing risk factors, this study adds two risk factors to fit the claim probability data, that is, the purchase behaviour of freight insurance customers and road density. The two variables can significantly influence the claim probability, and the model fitting outcomes obtained with the logit connection function are excellent. In addition, this study examines the model results under various distribution types for the fitting of the claim intensity data. The fitting outcomes under a gamma distribution are superior to those under the other distribution types, as measured by the Akaike information criterion.

With actual data from an online freight platform in China, this study empirically proves that a generalised linear model is superior to traditional pricing methods for freight insurance. This study constructs a generalised linear pricing model considering the unique features of the freight industry and determines that the transportation distance, cargo weight and road density have a significant influence on the claim probability and claim intensity.

In the era of Industrial Revolution (IR) 4.0, the integration of digital technologies, automation and data-driven insights has generated a broad wave of transformation across all industries, including the insurance sector. The study focuses on determining how the adoption of these technologies (InsurTech) is changing the life insurance industry, ultimately enhancing the level of customer satisfaction.

The data analysis has been performed with 304 useable responses from the policyholders of life insurance in the north-west region of India. The methodology adopted for this study is partial least squares (PLS) structural equation modeling (SEM). To investigate the predictive relevance of customer satisfaction, the PLS predict technique has been used. Also, importance performance map analysis (IPMA) has been applied to assess the important and performing dimensions of customer satisfaction.

The outcomes show that the adoption of InsurTech has a positive impact on customer satisfaction. Customer service management and policy management are among the strongest predictors of customer satisfaction, and the predictive relevance is reported to be moderate. IPMA results have suggested that improvements in online distribution of insurance services and customer service management lead to higher customer satisfaction.

The conceptual model can be tested with the moderating effect of different demographic factors (age, gender etc.), and future research can be done to analyze the mediating role of customer satisfaction between InsurTech adoption and customer loyalty.

The study offers valuable contributions to the marketing literature, shedding light on the influence of InsurTech adoption on customer satisfaction within the Indian life insurance sector. The research offers a practical approach that could help marketing professionals and policymakers comprehend the utilization of online insurance services, and this understanding can help industry experts to develop customer-oriented products and services.

This research is the first of its kind to test the association between InsurTech adoption and customer satisfaction in the life insurance sector in the Indian context. Research also provides novel insights for policymakers to enhance the satisfaction of customers towards using online insurance services in the near future in developing countries like India.

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.

This study empirically investigates the impact of directors' and officers' liability insurance on corporate environmental investment.

This paper takes A-share listed firms in the most polluting industries from 2013 to 2019 as the research sample. The authors perform multiple regression analysis to examine the research question, and other approaches such as PSM and Heckman two-stage model are applied to test the robustness of the main results.

The authors find that D&O insurance insured firms significantly decrease the level of corporate environmental investment. The results keep consistent after alleviating potential endogenous concerns. Further analysis shows that the negative association between D&O insurance and environmental investment is more pronounced in firms facing greater environmental pressure and stronger market supervision, and firms located in regions with a rich legal environment.

This research extends the literature on the antecedents of corporate environmental investment and the consequences of D&O insurance.

The study may deepen people's understanding of D&O insurance and inform them of its negative effects. This research sheds light on the potential factor resulting in a relatively low level of corporate environmental investment in China, which has an important policy implication for government to carry out some regulations to make a difference.

Against the backdrop that more importance has been attached to environmental protection globally, this paper is the first study to examine the impact of D&O insurance on corporate environmental investment in the context of the transitional and emerging market-China.

This paper examines the determinants of concurrent adoption of farm risk management strategies by rice growers in two different ecosystems of Telangana agriculture-irrigated and rainfed ecosystems.

The primary data have been collected from the rice growers in two different ecosystems, and after checking the variance inflation factor (VIF) for controlling multicollinearity, a multinomial logit model has been used to examine the determinants of concurrent adoption of coping strategies by rice growers.

The study finds that adopting one risk management strategy persuades farmers to embrace other strategies, reducing the risk in agriculture between the two ecosystems. Among the determinants, farmers' age, education, contact with extension services, irrigation sources, livestock income, total farm income, crop loss reasons, and crop insurance awareness significantly influence the adoption of various risk management measures. However, considerable heterogeneity is found among the driving forces across the rice ecosystems.

The major policy implications that can be drawn from the analysis are increased access to information through government-funded extension services and the provision of alternative risk management technologies, such as drought-resistant or flood-resistant seeds, farmers' field schools and increased provision of crop insurance, farmer-friendly agriculture extension services, and farm investment support, are critical for assisting farmers managing risks. In addition, however, there should be ecosystem-specific policies to tackle the ecosystem heterogeneity.

This paper is very timely and entails some relevant policy implications for the development of Indian agriculture.

When an individual leaves evidence to suggest that they are dead to mislead others, they are committing “pseudocide.” This study aims to examine pseudocides performed for the purpose of committing or concealing a financial crime.

This manuscript summarizes information from both academic and nonacademic publications. To provide evidence related to the conclusions made by prior authors and identify the risk factors that are often indicative of pseudocide, this manuscript examines the characteristics of pseudocides that received media coverage.

Pseudocides that receive media coverage often involve a prominent figure or a compelling story. These stories are not representative of the average pseudocide, which receives no publicity because it occurs in a less developed nation and is committed by a nonpublic figure. Common characteristics include the absence of a corpse and paperwork procured through bribery.

One of the only academic papers focused on pseudocide, this manuscript provides readers with information related to the scope of the issue, common methodologies and factors indicative of pseudocide. This should be of interest to several parties including forensic accountants, insurers, regulators and academics.

This study aims to analyse the mechanism of trust instrument from a Shariah point of view. Analysis of the mechanism would determine the extent to which its implementation can resolve estate planning issues such as frozen estate and the issue of naming beneficiaries under the age of 18.

This is a qualitative study method through library research. To explore the mechanism of trust instrument, an in-depth interview with five participants using purposive sampling and analyses of documents were used. The selection of this sample allows the researcher to obtain specific data in their field of expertise. Therefore, two officers from the Trust Administration Department of Amanah Raya Berhad (ARB) and three Shariah advisors from ARB (MPS ARB) were interviewed to find out the mechanism of trust instrument from the Shariah perspective. The researcher also referred to the trust deed documents, ARB company policies, field case studies such nomination cases and trust accounts, articles and court cases.

The trust instrument meets Shariah requirements even though it is based entirely on the Civil Law. The comprehensive and flexible features of trust deeds can help donors to plan systematically during their lifetime.

This study only focuses on the trust instruments that are currently being implemented in the ARB. Five trust products were analysed to achieve the objectives of the study, namely, the Normal Trust, Safecare and Safecare Premium, Takaful Care, Hibah (literally “gift”) as well as Trust and Declaration of Hibah.

The implementation of trust instrument at an early stage can ensure the property is well managed through a trust deed, guarantee the life of the beloved heirs after the death of the donor and prevent the property from being frozen.

This study comprehensively describes the trust instrument from the Shariah perspective and its implementation mechanism in the industry.

The goals of this review are to identify key theories, constructs and themes in the international business travel (IBT) literature and to propose a model based on findings, theories and constructs drawn from adjacent research literature.

The authors reviewed the business travel (BT) literature to identify conceptual and empirical articles on IBT published from 1990 to 2022. Only 53 publications were suitable for review. The authors reviewed them using an open coding system.

The IBT literature is dispersed across several disciplines that use different methods, focus on different aspects of travel and emphasize different positive and negative outcomes that IBT engenders. The publications employed a diverse range of methods, including review and conceptual (11), quantitative (28) and qualitative methods (14). The samples were diverse in country, age, marital status and tenure. Many publications were descriptive and exploratory. The few that based their research on theory focused on two stress theories: Job Demands-Resources (JD-R) theory and conservation of resources (COR) theory.

Experimental and longitudinal designs are needed to reduce the causal ambiguity of this body of mostly correlational and cross-sectional research. The authors discuss the impact of emerging advances in virtual global communication technology on the future of IBT.

More research is needed on positive aspects of IBT. Human resource (HR) people should be aware of these issues and are encouraged to decrease the deleterious aspects of the international trips and increase the positive ones.

Increasing well-being of international business travelers is important for the travelers, their families and the organization.

This is the first IBT review focused on the theoretical underpinnings of research in the field. The authors offer a model for IBT and introduce adjustment and performance as important constructs in IBT research. The authors encompass crossover theory to add the reciprocal impact of travelers and spouses and label IBT a “double-edge sword” because it arouses both positive and negative outcomes.

This research paper aims to empirically explore how stock market investors’ perceptions are affected by extreme climatic events like El Nino and floods in Malaysia.

This study uses structural equation modelling (SEM) to analyse the empirical data gathered through a questionnaire survey involving 273 individual investors from Bursa Malaysia between January and June 2019.

Results reveal that companies’ efforts, especially for agriculture and plantation-based industries, to adapt to climate change risk at the production, business and stock market levels significantly impact investors’ behaviour and investment decisions. Moreover, stock market investors’ climate change knowledge shows a significant moderating effect on corporate climate change adaptation initiatives and investors’ decisions to invest in Malaysian agricultural and plantation industry stocks.

This research has significant implications for practice and policy, as it measures the stock market investors’ level of awareness about climate change events and explores the companies’ strategies to reduce climatic risks to their business model.

This study shows the way to adjust the climate change information in the stock market investment decision to improve market efficiency and sustainable stock exchanges initiative.

To the best of the authors’ knowledge, this paper is the pioneer one to provide a comprehensive link between climate change events and business performances at production level, business level and stock market levels by drawing inferences from empirical data on investors’ behaviours. This study also added value in investment theories and financial literature by observing the climate change as an important factor to determine the investors’ decisions in the stock market.

The usual, simple and computationally expensive recovery payment method for a given reinsurance treaty, besides the total run-off triangle, builds a new run-off triangle, say recovery run-off triangle, for the reinsurer’s contribution and predicts the reinsurer’s contribution to the total loss reserves. This paper, without building a recovery run-off triangle, uses the available prior knowledge about a reinsurance treaty to predict the cedent’s loss reserve under five reinsurance treaties.

The authors propose a new solution to the problem of how to consider reserving issues when there is a reinsurance treaty for a portfolio of general insurance policies. Considering this when determining pricing or making capital decisions is very important.

In particular, it considers the quota share (QS) treaty, surplus (SPL) treaty, excess-of-loss (XL) treaty, largest claims reinsurance (LCR) treaty and excédent du coût moyen relatif (ECOMOR) treaty. Then, it develops a theoretical foundation for predicting the cedent’s loss reserve and evaluating such prediction using the mean square error of prediction (MSEP). The impact of such reinsurance treaties on the variability of the cedent’s loss reserve has been investigated through a simulation study.

This paper, without building a recovery run-off triangle, uses the available prior knowledge about a reinsurance treaty to predict the cedent’s loss reserve under five reinsurance treaties. In particular, it considers the QS treaty, SPL treaty, XL treaty, LCR treaty and ECOMOR treaty. Then, it develops a theoretical foundation for predicting the cedent’s loss reserve and evaluating such prediction using the MSEP. The impact of such reinsurance treaties on the variability of the cedent’s loss reserve has been investigated through a simulation study.