Designing a Smart Contract Model Based on Rial Cryptocurrency in Iranian Automotive Industries
Keywords:
Smart contracts, Rial cryptocurrency, automotive industryAbstract
Objective: This study aimed to design and validate a smart contract model based on Rial cryptocurrency in Iranian automotive industries by identifying the structural relationships, hierarchical levels, and key components of the proposed model.
Methodology: This applied study used a quantitative exploratory design. The statistical population consisted of experts in Rial cryptocurrency, smart contracts, financial technologies, and the automotive industry. Participants were selected through non-random purposive sampling. Based on expertise criteria, including mastery of smart contract management and cryptocurrencies, a master’s degree or higher, and more than ten years of professional experience, 25 experts participated in the study. Data were collected through library studies, document analysis, and an expert questionnaire. The validity of the questionnaire was confirmed by expert judgment, and its reliability was assessed using Cronbach’s alpha. Data were analyzed using Interpretive Structural Modeling and MICMAC analysis.
Findings: The structural analysis identified 41 components classified into six main categories. The causal, contextual, and intervening categories each included 7 components; the central category included 9 components; and the strategy and consequence categories each included 4 components. The ISM results placed the identified components across 16 structural levels, indicating a complex hierarchical pattern among the factors affecting the implementation of Rial-based smart contracts. MICMAC analysis showed that no component was located in the autonomous cluster, while the remaining components were distributed across dependent, linkage, and independent clusters. The content validity ratio was 1 for all main categories, and the content validity index was 0.86, confirming the acceptable content validity of the model. In addition, Cronbach’s alpha was 0.87, indicating satisfactory reliability of the research instrument.
Conclusion: The findings indicate that implementing Rial cryptocurrency-based smart contracts in Iranian automotive industries requires an integrated combination of technological infrastructure, digital security, legal and regulatory support, specialized human resources, contractual transparency, validation mechanisms, trust-building, and risk management. The proposed model provides an operational framework for policymakers, automotive manufacturers, banks, and regulatory institutions seeking to design, evaluate, and implement Rial-based smart contracts in industrial and financial transactions.
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Copyright (c) 1404 Reza Nazari nasab, Sirous Balaei Pakdehi, Rokhsareh Babajafari Esfandabadi (Author)

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