Journal of Industrial Engineering and Management Studies

Abstract This study aims to develop a comprehensive framework for integrating blockchain technology into the supply chain of Golrang Industrial Group. Employing a qualitative research approach, the study follows a data-driven theoretical methodology based on the Strauss and Corbin paradigm model. The research population consists of food industry factories affiliated with Golrang Industrial Group. Data collection was conducted through open interviews with ten industry experts and university professors, selected purposefully. The gathered data underwent analysis using the grounded theory method, comprising open coding, axial coding, and selective coding. The proposed model includes 54 indicators categorized into 19 concepts. The findings reveal that causal conditions for blockchain integration include strategic planning, blockchain structure design, inter-company collaboration, and financial infrastructure development. Industrial transformation, IoT, and artificial intelligence are key enablers, while employee training, continuous data updates, and skill-based selection of blockchain technology play essential roles in implementation. Effective background conditions involve transformational leadership, regulatory frameworks, and scaling mechanisms. The strategies identified include identity and access management, encryption, and secure data transmission. The study highlights blockchain’s potential to enhance production security, corporate transparency, product traceability, and cost efficiency in transportation and maintenance. Path coefficient analysis indicates “intervening factors” have the highest impact on “strategies” (0.819), followed by “contextual conditions” (0.625) and “strategies” on “implications” (0.570). These findings provide valuable insights into both the opportunities and challenges of blockchain implementation in supply chain management.