درخت حوزه‌های تخصصی

The purpose of this study is to present a gray marketing model using the role of influencers in social media. This research has been collected in terms of practical purpose and in terms of data collection method, quantitative-qualitative, it means using a questionnaire and interview. The face validity of the questionnaire was confirmed by experienced professors. The reliability of the questionnaire was also assessed using Cronbach's alpha method. The statistical population of the study consists of two sections: food consumers and faculty members, experts who had the most information in the field of gray marketing and the role of  virtual influencers. 384 were selected from the first population after determining the sample size using Cochran's formula. From the second community, 14 people were selected and their opinions were qualitatively analyzed. In quantitative data analysis, the structural equation approach was used and in qualitative data analysis, Grounded theory approach method and in-depth interview were used. Findings of this study were extracted in the qualitative part of the variables of causal factors, contextual factors, intervening factors, and outcomes and the findings of the quantitative section showed that the coefficient of variable path of parallel factors and parallel imports is 0.906 and also t-statistic is 11.328 and the coefficient of variable path of parallel factors and parallel imports is 0.992 and t-statistic is 13.476. The coefficient of variable path of interfering factors and parallel import is 0.591 and t-statistic is 8.017. Also, the coefficient of the variable of consequences and parallel imports is 0.755 and also the t-statistic is 9.705. Finally, the variable path coefficient of strategies and parallel imports is 0.673 and the t-statistic is 8.627.

The electricity industry is one of the most important and vital development of countries, as the electricity access index is one of the main components of assessing the degree of industrial competitiveness. In Iran, the electricity industry has a relatively long history and more than a century and now with a production capacity of about 80,000 MW and with the support of more than a thousand large, medium and small enterprises and localization of equipment and technical and engineering services, it is one of the leading industries in the country. According to this issue, the purpose of this study is to determine and model the factors affecting the promotion of customer satisfaction of electricity distribution companies. The method of the present study is a special type of qualitative research tradition called data theory. The sample size is determined based on the theoretical adequacy method and includes 16 expert managers of power distribution companies in 9 provinces of the country who have been selected based on the selection method and snowball, data collection tools are text, first a set of primary topics was collected during the coding process and categories were extracted from their entrails. Then, in the axial coding stage, the link between these categories was shown in the form of a coding paradigm.

Crowdfunding is a new technology-enabled innovative process that is changing the capital market space. Internet-based applications, particularly those related to Web 2.0, have had a significant impact on sectors of society such as education, business, and medicine. The goal of this research is to fill a gap in the literature on mathematical modelling and prediction of ensemble learning in order to evaluate crowdfunding projects. The Mathematical model determines the cost of funding for the entrepreneur and the return investors will receive per period. A correct financial model is essential in order to keep all three stakeholders involved in the long term. The results show the designed model improved performance in predicting the evaluation of success or failure of Crowdfunding projects.

Customer relationship and recognition of the customer financial behaviour are considered as important strategic factors involved in successful performance of the banks. So, identifying these factors and prioritizing them help to make better decisions to complete the value chain of the banks’ financial services, especially in development banks that tend to have midterm and long-time presence in financial markets. So, the present research aims to identify and prioritize the mentioned factors in Bank of Industry and Mine as one of the main development banks of Iran. The present research has been performed in two phases. In the first stage, or qualitative part, In the first stage, during the review of the literature and the opinions of banking experts, the relevant indicators were identified. In the second stage, or quantitative part, the statistical data of variables in the period of 2012-2017 was collected. Then, the identified factors were prioritized by multi-criteria decision making in TOPSIS solver software. According to the findings, environmental factors are the main indicators affecting the bank customers’ financial behaviour. The most important customer-related factor was the definite profit paid to the customer; the most important bank-related factor was credit risk; and the most important environmental factor was economic growth.