Blockchain in Supply Chain: A Tailored Implementation Model for Golrang Industrial Group

This study aims to establish a comprehensive framework for integrating blockchain technology into the supply chain of Golrang Industrial Group. Adopting a qualitative methodology with a practical orientation, the research utilizes Strauss and Corbin's paradigm model for data-based theoretical exploration. The study's statistical population includes food industry factories affiliated with Golrang Industrial Group, with data collected through interviews with ten purposefully selected experts from the food industry and academia. Grounded analysis involving open, central, and selective coding was employed, resulting in a model comprising 54 indicators categorized into 19 concepts. The findings reveal that causal conditions include strategy design, goal setting, blockchain structure development, fostering inter-company cooperation, and financial and economic infrastructure provision. Key transformative factors involve industrial innovation, the Internet of Things, and artificial intelligence. Essential facilitators include employee training, continuous data updates, and skill-focused blockchain selection processes. Background conditions such as transformational leadership, standardization, legal frameworks, and scaling procedures are critical for optimization. These findings provide valuable insights into the potential benefits and challenges of blockchain integration in Golrang Industrial Group's supply chain, offering practical guidance for similar endeavors in the industry.