The purpose of this research is "identify and determine the factors for evaluating credit in brokerage based on blockchain technology". The research method is qualitative and quantitative. The statistical population of the research was selected from experts, professors, and experts in the researched field. The sampling method was snowball and research data was collected by interview. According to the methodological process, the four categories of liquidity, activity, profitability, and potential appeared as the central categories, and the categories of causal conditions, background or context, intervening conditions, strategies, and consequences for presentation in the visual model. Based on the components, concepts, and categories of the proposed model, a questionnaire was compiled, and based on the collected data, the relationships of the model were examined. The results of the confirmatory factor analysis indicate the general fit of the categories of the proposed model with the data and the measurement model. Based on the software outputs, all the existing structural relationships of the overall model have been confirmed, and the quantitative analysis is valid on the accuracy and reliability of the results of the qualitative analysis, which shows the significance of the relationships and components of the presented model.
Keywords: customer validation, blockchain technology, foundational data theory