The purpose of this study is to evaluate the factors influencing the adoption of blockchain technology in supply chain management for international trade transactions. The research employs a descriptive (survey-based) correlational method. The study population consisted of approximately 130 managers from manufacturing companies in the petrochemical industry, from which a sample of 97 individuals was selected as the final statistical sample based on the Krejcie and Morgan table. Convenience (non-probability) sampling was used. Data were collected through a designed questionnaire, which included items adapted from relative advantage, complexity, management support, cost, market dynamics, competitive pressure, regulatory policies, and behavioral intention (Wang et al., 2020), confidentiality and security (Queiroz & Wamba, 2019), and data integrity (Dutta et al., 2020). The questionnaire items demonstrated content validity and high reliability (internal consistency and stability). Structural equation modeling was utilized to examine the relationships between the research variables using AMOS and SPSS software. The findings indicate that the relative advantage of the technology, technological complexity, confidentiality, data integrity, and data security do not have a direct relationship with the cost of adoption, management support, market dynamics, competitive pressure, or regulatory policies in blockchain technology within supply chain operations and management. However, technological complexity has a direct relationship with adoption costs, management support for technology implementation, and senior management support for blockchain technology in supply chain operations and management. The cost of technology adoption and technological complexity do not have an inverse relationship with the acceptance of this technology in supply chain operations and management.