Explaining the components and efficiency indicators of blockchain technology in accounting and auditing units with the approach of foundational data theory
نویسندگان
1 PhD Student in Accounting, Zahedan Branch, Islamic Azad University, Zahedan, Iran.
2 Department of Finance and Accounting, Faculty of Humanities, Meybod University, Meybod, Iran.
3 Department of Accounting, Zahedan Branch, Islamic Azad University, Zahedan, Iran.
4 Department of Accounting, Zahedan Branch, Islamic Azad University, Zahedan, Iran.
doi
10.22034/ijfma.2025.78266.2229چکیده
1.1. Research ObjectiveThis study aimed to present a structural model of the indicators and components of blockchain technology efficiency in accounting and auditing units.2.1. Research MethodologyThe research adopted a mixed-method approach (qualitative and quantitative). Data were collected through interviews with a group of experts, professors, and specialists in the accounting field. Since the exact size of the population was not known, a total of 20 participants were selected using the snowball sampling method until theoretical saturation was reached. In this method, interviewees were asked to introduce other knowledgeable individuals for subsequent interviews.3.1. Data Analysis ProcessThe collected data were analyzed in three stages:• Open Coding: Extracting initial codes from the data.• Axial Coding: Identifying main concepts from the extracted codes.• Selective Coding: Categorizing concepts into core categories.This process resulted in the extraction of 129 initial concepts, which were then categorized into 20 main categories.4.1. FindingsThe data analysis revealed three core categories:• Technology• Political factors• Legal factorsThe other categories were grouped into five main sections:• Causal Conditions (4 categories)• Context (2 categories)• Intervening Conditions (3 categories)• Strategies (3 categories)• Consequences (5 categories)Quantitative Phase of the StudyBased on the proposed model's indicators, components, concepts, and categories, a questionnaire containing 129 questions was developed to examine the relationships within the proposed model. The analysis of the collected data demonstrated that the relationships and components of the proposed model were highly significant.
