Current Issue : October - December Volume : 2020 Issue Number : 4 Articles : 5 Articles
In the risk assessment of life insurance, demographic trends and behavioural changes\ncompared to the use of new technologies are crucial today. The ability to process everincreasing\namounts of customer data, such as data from search engines, shopping portals,\nsocial media activity data or data from devices or mobile applications, enables insurers to\nreceive high quality customer data and provide them with personalized insurance purchase\noffers. The â??pay as you liveâ?? concept, where the use of technology allows the collection of\ncurrent data on key risk parameters in life insurance, such as lifestyle and health, and enables\ninteractive reactions. Market analyses show that the use of new technologies varies according\nto the characteristics and attitudes of different generations. Attitudes are examined in the\narea of using new technologies in life insurance. This study hypothesizes that the attitude of\nbuyers will change depending on the generation (age). To test this hypothesis, the results of\nsurveys conducted in Poland are presented. A sample of 304 respondents was analysed, based\non a survey conducted in the period June-July 2019. To analyse the results and assess the\ncorrelation between certain features, the authors performed a chi-square independence test,\nFisher's exact probability test and a Mann-Whitney U test. Findings show that despite the\nwidespread use of mobile devices, the number of respondents who would agree to monitor\ntheir health and share data with an insurance company is small. Only 32% of the people using\nthese mobile applications would provide the insurance company with data on their life\nparameters, health condition, physical activity and lifestyle in exchange for reducing\ninsurance premiums when purchasing life insurance. In this group, 35% of the respondents\nwould expect to receive a free smartwatch or a free smart band from the insurance company.\nMost respondents (68%) would not do this, mainly due to concerns about privacy and a fear\nof raising the insurance premium. Surprisingly, against the background of the analysed\ncharacteristics of the generations, it is worth noting that there is no significant difference\nbetween the generations. On the other hand, this study found that there is a significant\ncorrelation between genders and also between BMI and the acceptance of monitoring....
To explore the influencing factors of the adoption of mobile payment systems\nfrom the perspective of merchants, this study builds a data analysis model\nbased on three different ensemble learning algorithms, Adaboost model,\nrandom forest and XGBoost model, where static social-economic attributes,\ndynamic trading behavior and clustering effect variables of merchants are\nused as independent variables. Moreover, this paper establishes the prediction\nmodels and analyzes the prediction accuracy of different models. The results\nof the study indicate that: 1) Merchants in the housing industry, health hospitals\nand retail industries are more willing to adopt mobile payment systems;\n2) The average daily transaction volume and the average amount of each\nconsumer significantly affect the merchant mobile payment adoption behavior;\n3) The adoption of mobile payment systems by neighboring merchants\nsignificantly positively affected the adoption behavior of merchants; 4) On\nthe basis of the social-economic attributes of merchants, the hit rate and accuracy\nof the prediction model were greatly improved after adding transaction\ndata....
Due to the importance of presenting an integrated model to disclose the real\ncomprehensive income, to measure the management performance fairly and to take\nrational decisions related to dividends away from earnings management practices, this\nstudy aimed to identify the effect of the combination of ownership structure on earnings\nmanagement practices in the listed companies in the Libyan stock market, as an addition\nand evidence of the emerging economies like the Libyan one. The study has stated the main\nfollowing hypothesis: the ownership structure has a significant effect on earnings\nmanagement practices in the listed companies in the Libyan stock market. As a result,\nrelying on a multiple regression technique, which has been used to examine the five subhypotheses\nof the main one, the study became able to state that the ownership structure of\nenormous stockholders does not have a significant effect on earnings management practices\nin the listed companies in the Libyan stock market, while each of the managerial ownership\nstructure; institutional ownership structure and foreign ownership structure, has a positive\nsignificant effect on earnings management practices in the listed companies in the Libyan\nstock market. On the other hand, the public ownership structure has a negative significant\neffect on earnings management practices in the listed companies in the Libyan stock market....
Since the establishment of the first open-end fund in 2001, the development of\nChinaâ??s fund industry has never stopped. In the development process of nearly\n20 years, people pay attention to the problems related to the fund, which are\nalways the same in many fund products, how to identify the value of investment,\nwhich can make investorsâ?? investment income optimal, and how to evaluate\nthe fundâ??s performance. It is very important to evaluate the return of the\nfund. But in fact, the performance of the open-end fund is mainly affected by\nthe fund manager and the fundâ??s own luck. The evaluation of the fund needs\na more complete and comprehensive consideration. Based on some fund\nperformance evaluation literature at home and abroad, this paper studies the\nlarge-scale stock fund in China, divides the sample database into index fund\nand active fund, and observes the influence of fundâ??s luck component on their\nperformance respectively, and uses three models to fit, in order to consider\nthe different ways of market interpretation of different models Different explanations\nof fund performance luck. The bootstrap method is used to simulate\nthe effect of luck component of fund performance. Based on the four-factor\nmodel of Carhart, the sustainability of fund performance is considered by alpha\nranking method. According to the empirical situation of the two kinds of\nfunds, this paper analyzes the technical situation of the fund managers and\nthe actual impact of fortuitous factors on the fund performance level, and then\nputs forward relevant suggestions for the participants of the fund market....
The present research intends to analyze the maturity of the use of Web 2.0 technologies in\nthe Portuguese bank sector, trying to determine which one of these institutions is more\npresent in social networks and best practices. Technological change is the major cause of\nmost of the changes that have taken place worldwide, from cultural, social, political,\neconomic, personal and even psychological changes. It was determined as a general\nobjective: to identify what is the information that different institutions put in the most\npopular social networks (i.e. Facebook, LinkedIn and twitter). In order to integrate research\nin the field of study, the several interactions of the institution and the clients in the Web 2.0\nwere regularly analyzed; in this case, the Facebook official page of the institution and the\naggregated pages of the same social network that can assume the same role of direct contact\nbetween the institutional image and the clients and users. The observation was carried out\nfor two weeks: from the last week of May 2017 (22nd to 26th) to the first week of June 2017\n(5th to 9th). The difference between the two institutions is in the degree of specialization\ncarried out on thematic pages....
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