درخت حوزه‌های تخصصی

This research aims to design an open banking model using a grounded theory approach in bank Saderat Khorasan Razavi. The current research is exploratory in nature and mixed-in approach. This research was carried out in two stages among the research projects of the combined method. For this purpose, it collects qualitative data first. In this section, the indicators were identified through reviewing existing documents, papers, and articles and semi-structured interviews with experts, and the grounded theory method was used to select the identified indicators. Open and axial coding was done and a visual pattern was designed. In second stage was the quantitative part of the research, after the final research model was identified in the qualitative part and the components and indicators of each component were determined, the final questionnaire included all dimensions and components of the identified model based on the five-choice Likert scale and based on dimensions and the components of open banking in the country's banking industry were compiled and distributed among sample people and data were collected. The statistical population in the qualitative part of the research and the process of identifying dimensions and components of open banking in the country's banking industry included organizational experts, these people included senior managers, deputy managers, middle managers, and senior experts. The statistical population in the quantitative part included all managers and senior experts of open banking in the country's banking industry. According to the obtained results, the consequences with an average rank of 2.63 are the priority. Intervening factors with an average rating of 2.55 are the second priority. The central phenomenon with an average rank of 2.43 is the third priority. Contextual factors with an average rank of 2.40 are the fourth priority. Strategies are in the fifth priority with an average rank of 2.39. Causal factors with an average rating of 2.38 are the last priority.

The article presents the results of the analysis of the indicators of the level of the shadow economy in Ukraine in the period from 2010 to 2020. The level of shadow economy calculated on the basis of such methods as: unprofitable enterprises, monetary, population expenditures - retail trade - services and electricity was used for the analysis. The causes and consequences of shadow economic activity in Ukraine are given. The study found that the downward trend in the shadow economy persists despite the spread of the negative effects of the COVID - 19 pandemic and declining real GDP. In particular, three of the four methods used to assess the level of the shadow economy recorded a decrease in the level of the shadow economy (the method of "population expenditure - retail trade and services"; the electric method; the monetary method). At the same time, the method of enterprise losses showed an increase in the shadow economy, which is largely due to a significant deterioration in the financial situation of enterprises under the restrictions imposed to prevent the rapid spread of the coronavirus pandemic in the world and Ukraine, as well as logistical problems. The practical value of the results is determined by the fact that the conclusions and proposals can be used to more accurately and objectively calculate the level of the shadow economy, which in turn can be the basis for effective decisions to de-shadow and legalize Ukraine's economy.