Designing a Model of Factors Affecting the LARG Supply Chain Using the Grounded Theory Approach

Abstract

Objective: The present study aims to design a model of factors affecting the LARG supply chain using the grounded theory approach.Methodology: This research is applied in nature and, in terms of data collection method, falls under the category of qualitative research. For this purpose, data were collected through semi-structured interviews with participants and content analysis. The statistical population of this study includes all managers and experts in this field. Sampling was conducted theoretically, which is a type of purposive sampling, and continued until theoretical saturation of the categories was achieved.Findings: Following the open coding process and categorization of extracted concepts, a total of 167 open codes were identified. Subsequently, axial and selective coding were performed, leading to the extraction of 26 axial codes. The selective coding process included causal factors, contextual factors, intervening factors, strategies, and outcomes, with the core category being the LARG supply chain.Conclusion: The results of this research can be beneficial for managers and decision-makers in the field of supply chain management, as they provide a better understanding of the challenges and opportunities in this domain. Furthermore, it is recommended that future research employ mixed-method approaches (qualitative and quantitative) to further investigate these factors and their effects, enabling the development of more practical models.