This research is conducted to examine the process from the intention to purchase life insur-ance among people in two major cities of Hanoi and Ho Chi Minh City in Vietnam, based on the theoretical framework of theory of planned behavior. The study is conducted in Hanoi and Ho Chi Minh City in Vietnam through an online questionnaire of 358 people. Based on the data collected, the study used Cronbach’s alpha, exploratory factor analysis, KMO and Bartlett’s test and regression analysis by using SPSS software. The results show that life insurance buying behavior was influenced by purchase intention, attitudes, financial insight and product accessibility. Moreover, it was recognized higher weight of financial literacy and product accessibility in life insurance buying behavior. The research determined that financial knowledge could promote buying intention to actual purchase behavior in the life insurance area.

This survey research paper explores the methods most commonly used in over 190 studies determining life insurance efficiency. The purpose is to provide an overview of life insurance efficiency studies and guidance as to the (dis)advantages of the different techniques used plus their applicability to life insurance. An evaluation of the different approaches is undertaken plus an examination of the numbers and trends of methods and aspects of life insurance efficiency measurement. This paper also discusses the fundamental elements of life insurance efficiency estimation, such as the set-up and form of outputs and inputs. Findings include that the focus of life insurance efficiency studies considering individual nations has changed. Additionally data envelope analysis is the technique used most commonly with stochastic frontier analysis next. Another main result is that output proxies (akin to) premiums and investment income is utilized most. This study allows practitioners to determine the best techniques to employ in life insurance efficiency studies. Moreover an evaluation by regulators of the value and applicability of such studies is facilitated. This article builds upon those previous to enumerate and investigate the approaches most commonly used in over 190 papers determining life insurance efficiency and has described the advantages and disadvantages of these methods. Therefore an assessment of the overall results of efficiency studies is possible. In addition ideas for potential further research are discussed. Consequently this review will be useful to both practitioners and regulators concerned with this area.

For years, e-commerce has generated competitive advantage for many industries especially in insurance industry where people could apply for any sort of insurance, very easily. In fact, insurance industry has become one of the most important sectors in the world. E-commerce, on the other hand, has absorbed various people in insurance industry to develop economic growth. However, applying e-commerce for insurance firms may encounter serious obstacles and it is important to know them properly and setup appropriate actions to remove them. In this paper, we present a multi-criteria decision making (MCDM) technique based on DEMATEL with an adaptation of fuzzy logic to find important factors impacting implementation of e-commerce for life insurance industry. The proposed study of this paper designs a questionnaire and distributes it among some insurance experts and then we analyze them using fuzzy DEMATEL technique. Findings indicate that “lack of designing death table based on the existing statistics of population death in Iran”, “lack of variety in protections of life insurance in proportionate to society individual’s requirements by means of low level income of society individuals” and “lack of extensive advertisements for developing the culture of life insurance in country” are the most important factors influencing insurance industry for enhancing e-business.