The emergence of fintech services in the insurance industry has been a transformative force, reshaping how insurance companies operate, how policies are sold, and how customers interact with their insurers. Financial technology developments, also known as "fintech," are changing how financial services are offered, presenting novel possibilities for the insurance industry worldwide. However, in the Malaysian insurance and takaful industry a good number of customers are still dependent on conventional channels like agents and brokers continue to be important sources for purchases and payments related to insurance instead of using Fintech services. The insurance industry's success and growth are highly dependent on adopting technological services offered by companies to make the process efficient and profitable. So, this study aimed to empirically identify the determinants influencing Malaysia's insurance and takaful industry customers to accept the fintech services for insurance-related transactions and activities. The research combined two prominent technology adoption models UTAUT2, and Delone and Mclean IS Success, and proposed a new research framework. The data for the research has been collected from the insurance and takaful industry customers through Google Forms. Finally, 350 responses were received. The PLS-SEM method was utilized to investigate the data by Smart PLS 3.2.9 software. The result of the study revealed that effort expectancy, information quality, service quality, system quality, and perceived risk impact behavioral intention to use fintech services (BI). In addition, the actual use of fintech services is impacted by behavioral intention. Nevertheless, no impact was found in the case of performance expectancy and social influence on BI. The findings of the study are helpful for academicians, researchers, and insurance companies to explore determinants for fintech services acceptance.

Financial technology (FinTech) is leading a worldwide revolution to increase financial access. Bangladesh’s financial sector is entering a new era of innovation due to the country’s rapid embrace of financial technology. Mobile FinTech service (MFS) providers achieve unattainable economic peaks every year. The growth of conventional banks’ MFS is significant. However, Islamic banks have a good market share but cannot attract more customers to use the Islamic MFS. This study aimed to determine the factors influencing Islamic bank customers to accept the Islamic MFS. This study utilized a modified UTAUT2 model. Data were collected from 310 Islamic bank customers by using online Google Forms. Structural equation modeling was employed to analyze the data by SMART PLS 3.2.9. The results revealed that social influence, facilitating conditions, price, and perceived credibility have a significant positive effect on Islamic MFS acceptance. However, performance expectancy and effort expectancy showed no impact on Islamic MFS acceptance. This research framework is helpful for academicians and researchers to investigate FinTech acceptance in developing countries. Moreover, the study results are beneficial for MFS providers and FinTech firms.

Employee performance is the secret to success for every company. Companies want their employees to understand the company’s vision and objectives and meet the individual goals set by the managers. The insurance industry in Bangladesh has stagnant growth compared to other industries. Moreover, insurance companies are lagging in managing human resources, especially permanent employees. Sustainable employee performance will help companies to achieve sustainable growth. This study aimed to identify the influencing factors that impact sustainable employee performance of insurance industry employees in Bangladesh. The study utilized the social exchange theory as the underpinning theory. The study modified the social exchange theory and proposed a research framework with five indicator variables: compensation, job satisfaction, work environment, leadership style, and motivation. The survey included 200 insurance company employees from various departments and companies. The collected data were analyzed using the partial least square–structural equation modeling (PLS–SEM) method using SMART PLS 3.2.7 software. The findings revealed that all the factors significantly positively impacted sustainable employee performance. The results of the study are helpful for academicians and researchers to analyze employee performance further. In addition, the results will help insurance companies and policymakers to make appropriate decisions to ensure sustainable employee performance in the organization.