درخت حوزه‌های تخصصی

Objective: For all companies, particularly service businesses, one element that is of great significance is customer forgiveness. The major goal of this research was to ascertain how customer behavioral factors affected Iranian insurance insurers' willingness to forgive. Materials and Methods: In terms of research classification based on the goal of applied research, this study is a descriptive and survey. All Iranian insurance insurers in the Gilan province who have used Iran insurance services for at least two years make up the study's statistical population, and a sample size of 359 persons who were chosen using a non-probable selection approach was used. A questionnaire was utilized to gather the data for this research, and its content validity and construct validity were evaluated. The reliability was assessed using Cronbach's alpha. The data gathered from the survey was analyzed using SPSS and Smart PLS software. Results: The findings of evaluating the study hypotheses revealed that, with the exception of the effects of empathy on consumer forgiveness and self- inferiority on consumer forgiveness, all of the research hypotheses were verified. Conclusion: According to the findings of Iranian insurance managers, it is recommended that customers' favorable impressions be reinforced via emotional connection, differentiated services, and improved service quality.

According to the study of Fang and his colleagues in 2021, in order to reduce the fall of the stock market, companies pay attention to trading strategies and behavioral financial perspective, which have evaluated the assumptions and goals set in this regard; But there may be a gap in this path that prevents the connection or effect between the above variables, which is discussed in this study. This study aims to determine the effect of quantitative trading strategies on the fall of the stock market according to the perspective of behavioral finance (case study: companies admitted to the Tehran Stock Exchange). In order to analyze the research hypotheses, the statistical population was selected from 2016 to 2021 and for 6 years and included listed companies; the statistical sample was selected by elimination method and 90 companies. The research method used is a descriptive-analytical method and historical research data was collected and classified by referring to the financial statements and financial reports of the companies admitted to the Tehran Stock Exchange. The panel data method was used to analyze the statistical data; And in the analysis section, descriptive statistics, inferential statistics and various relevant tests were performed and data analysis was done using Eviews version 9 software. According to the analysis of the regression model, the findings of the research show that the main hypothesis has been confirmed and it was found that quantitative trading strategies have a negative and significant effect on the fall of the stock market according to the behavioral financial perspective of the companies admitted to the Tehran Stock Exchange. So that in this research, based on the t-statistics, the effectiveness of both special hypotheses (fall-timing and movement-reverse) was determined, and according to the mediating variable of behavioral financial perspective, they can also play a positive and significant role in reducing the fall of the stock market to be.