Abstract
Purpose: The purpose of this study is to identify the factors affecting cryptocurrency auditing and to provide a practical framework for addressing the challenges of cryptocurrency auditing in Iran.
Method: This study employs a qualitative research approach, utilizing the Grounded Theory methodology to develop the proposed model. Data were collected through online interviews with 13 experts (auditors with direct experience in cryptocurrency audits) using a snowball sampling technique in the year 2023.
Findings: The research data were analyzed through open, axial, and selective coding processes, supported by MAXQDA software. During the coding process, 3 categories were identified for causal conditions, 3 categories for intervening conditions, 6 categories for strategies, and 2 categories for outcomes, all related to the core category of cryptocurrency auditing.
Conclusion: The results of this study indicate that due to its unique characteristics, cryptocurrency auditing in the current environment necessitates a risk-based auditing approach. Intervening factors (such as understanding the audited entity and internal controls) and contextual factors (including the lack of professional standards and tax regulations) significantly influence the auditing process. Moreover, attention to the proposed operational strategies (e.g., utilizing expert opinions, physical inspection of mining equipment, and transaction tracing) can enhance the effectiveness and efficiency of auditing in this field.
Contribution: This research serves as an initial step in addressing the research gap in the auditing of cryptographic assets in Iran. It lays the groundwork for developing indigenous knowledge in this emerging field, which can lead to greater transparency in financial reporting and enhanced accountability.
Main Subjects
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