Explaining and Structuring the Smart Supply Chain Resilience Model in the Face of Global Market Turbulence: A Case Study of the Carpet Industry
Keywords:
smart resilience; supply chain resilience; artificial intelligence; global market turbulence; carpet industry; interpretive structural modeling; grounded theoryAbstract
The escalating volatility of the global market, coupled with technological advancements and competitive pressures, has confronted the Iranian carpet industry’s supply chain with significant structural and operational challenges. In such a context, developing a smart resilience model as a proactive and data-driven approach is a strategic necessity to maintain the industry’s competitiveness. This study aims to explain and structure a localized model for smart supply chain resilience in the carpet industry. The research is applied in nature and employs a mixed-methods approach, combining Grounded Theory and Interpretive Structural Modeling (ISM). In the qualitative phase, data were collected through 15 semi-structured interviews with experts in the carpet industry and supply chain management, and were analyzed using MAXQDA software through open, axial, and selective coding. The results led to the identification of six main dimensions: causal conditions, the central phenomenon, contextual conditions, intervening conditions, strategies, and consequences. Subsequently, using the ISM method and MICMAC analysis, the hierarchical structure of the factors was determined, and the role of linkage variables with high influence in the system’s dynamics was revealed. The findings indicate that the transition to a digital, data-driven, and AI-powered supply chain—through strategies such as predictive analytics, data governance, digital networking, and upgrading human skills—can enhance the resilience, agility, and sustainable competitive advantage of the carpet industry in the face of global market turbulence.
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