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The purpose of this paper is to develop and test a theoretical framework explaining the adoption of online insurance claims characterised by infrequent interactions, inherent complexity and risk. It extends the technology acceptance model to include knowledge-related and trust-related beliefs.

The framework is tested with structural equation modelling using data from a survey of 292 customers who made online insurance claims. Findings are further explained through 30 telephone interviews conducted with online and offline claimants.

Previous research in financial services has shown trust to be equally or more important than perceived usefulness and perceived ease of use in forming attitudes towards adopting online insurance applications. The findings of this paper contradict this by showing, at best, a weak relationship between trusting attitude and intention to use the online service. Trust is somewhat meaningful; however, perceived ease of use, perceived usefulness and technology attitude are substantially more important in an online insurance claims setting.

Contradictory results always beg further research to assure their robustness. Nevertheless, they can also point to a developing trend where trust in the internet channel, per se, is of diminishing importance. Internet and product knowledge are not as pertinent to forming intentions as usefulness and ease of use.

To encourage customers to adopt online applications for a trusted company, all emphasis should be on user friendliness and perceived usefulness of the online interface.

Compared to other channels, consumers are no longer naïve or distrustful of the online channel for interacting with a firm. If they perceive usefulness and ease of use, they will adopt the offered service.

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.

Introduction: The world is passing through a technology explosion phase where one technology is being replaced by another very quickly. Emerging technologies play more important roles in the insurance sector directly or indirectly. These technologies have a high potential to change the insurance paradigm.

Purpose: In this chapter, we discuss emerging technologies such as artificial intelligence (AI), big data, blockchain, the internet of things (IoT), mobile technology, predictive analytics, social media, telematics, chatbots, low codes, and drones in the context of the insurance industry.

Methodology: To carry out our analysis, we searched for data using the keywords for each technology from the Web of Science (WoS) coral database. Certain inclusion and exclusion criteria were followed to select the articles for further analysis. R-studio was used for the data analysis and visualisation.

Findings: It was found that the highest number of research articles published are related to big data, followed by AI and social media. The first article on AI in insurance appeared in 1975. Social media is the highest cited new technology, whereas the low codes are the undiscovered paradigm for the insurance sector with no published research. Research on the impact of chatbots, drones, and mobile technology in the insurance industry is still at a nascent stage. We also noticed that the United States is leading the research on emerging technologies in the insurance sector.

Implications: This chapter audits the emerging technologies in the insurance sector and identifies technological areas with the highest, least, or no research, dominant journals, authors, and countries. This holistic overview empowers managers and academicians to decide the future course of action.

This study aims to predict the adoption of mobile services among muzakki (Islamic taxpayers) through the integrative roles of technology acceptance model (TAM), perceived trust and religiosity.

A questionnaire was distributed to 209 muzakkis as this research’s respondents. The partial least square was used to evaluate the relationship between TAM, perceived trust, religiosity and the adoption of mobile zakat services.

This study finds that perceived easiness and religiosity play a positive and significant role in increasing the adoption of mobile zakat services. Meanwhile, perceived usefulness and perceived trust do not have any influential role in generating muzakki adoption behavior.

This study underlines the importance of digital zakat institutions making easy-to-understand and easy-to-access online platforms for the broader community. In addition, they need to collaborate with formal and non-formal religious education institutions to increase zakat awareness and its benefits for marginalized groups.

To the best of the authors’ knowledge, this study is the first to integrate the TAM theory, perceived trust and religiosity in estimating muzakki adoption of mobile services.

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.

Purpose: The scope of this research is to conduct a study on the perceived effectiveness of developments in InsurTech, by determining online use integration in the Maltese insurance market.

Methodology: To do this, the authors employed a self-administered questionnaire to which 471 participants responded on a 5-point Likert scale. We subjected the data collected from this questionnaire to statistical analysis, specifically, exploratory factor analysis (EFA) and multiple linear analysis using the Statistical Package for Social Science (SPSS) version 26.

Results: EFA loaded best on five factors of insurance customers’ perceived effectiveness, which make up the effectiveness model (EM), namely ‘Factor 1 – Internal Process Enhancement’, ‘Factor 2 – Cost-Efficiencies’; ‘Factor 3 – Time-Sensitive Conditions’, ‘Factor 4 – The Contemporary Use of Artificial Intelligence and Marketing in Relation to Customer Service’ and ‘Factor 5 – Customer Relations and Application of InsurTech in Communication’. Moreover, multiple linear regression results show that the perceived effectiveness dimension – EM is statistically significantly related to online use in Malta.

Practical implications: Therefore, it can be argued that the Maltese insurance sector is well prepared to meet the obligations and requirements of the European Green Deal. Findings shed light on the preparedness of the Maltese insurance market to accept innovative green proposals to go online with processes.

Investigates the differences in protocols between arbitral tribunals and courts, with particular emphasis on US, Greek and English law. Gives examples of each country and its way of using the law in specific circumstances, and shows the variations therein. Sums up that arbitration is much the better way to gok as it avoids delays and expenses, plus the vexation/frustration of normal litigation. Concludes that the US and Greek constitutions and common law tradition in England appear to allow involved parties to choose their own judge, who can thus be an arbitrator. Discusses e‐commerce and speculates on this for the future.

The purpose of this study is to determine the factors that impact the trust of microenterprises in online selling platforms and cargo carriers and examine the consequences of a lack of trust.

This study adopts a qualitative exploratory approach and uses grounded theory to generate insights based on interviews with 27 microenterprise owners selling internationally on an online selling platform.

The results show that a lack of competence, an absence of an integrated claim system and a lack of transparency are the main factors affecting sellers’ trust in online selling platforms. The relationship between the sellers’ intention to continue to use the online selling platform and their trust in the platform was found to be moderated by switching costs.

This study is limited in that the results were mainly based on the sellers’ perspectives although the phenomenon of interest involves various actors. To mitigate this limitation and cross-check the data, the customer reviews and some of the sellers’ account statistics were also analyzed.

This study introduces the sellers’ perspectives on the dynamics of supply chain management in international micro trade. These dynamics provide a guideline for how to build and manage an online selling platform targeting microenterprises.

Unlike previous studies, this study examines online transaction behaviors from the standpoint of sellers, not buyers. Moreover, it is the first study examining the damaged or lost shipments within the context of online transactions in international micro trade.

Although insurance companies contribute to about $600 billion of the US gross domestic product and employ 2.7 million people, the overall perception of clients and workers employed in this domain is poor. To the best of our knowledge, this study is the first to propose recommendations to improve the service quality of insurance companies using the voice of customers and employees that are available online.

The proposed methodology consists of four stages: extracting text reviews posted by employees and customers, reviewing feedback using bigrams and trigrams, determining topics and identifying quality-associated managerial recommendations using the Strengths, Weaknesses, Opportunities and Threats (SWOT) and root cause analysis techniques.

Our results indicate that primary causes for client dissatisfaction are improper client assistance services, inefficient claims processing, issues related to payments/fees and unresponsive ancillary services. Offering different types of payment methods, immediate car replacement policy and features such as smartphone applications are commended very well. The major reasons for workforce frustrations include long and overly complex training, lack of social events and incentive programs. Coworkers, workplace facilities, clean work environment and other amenities are shown to have a positive impact on employees' satisfaction level.

To the best of our knowledge, this study is the first to propose recommendations to improve the service quality of insurance companies using the voice of customers and employees that are available online. The proposed quality-related insights can assist insurance companies in improving the outlook of their workers as well as customers.