Meybod University Strategic Management Accounting 3092-6890 2 1 2025 05 22 Analyzing Factors Influencing Quality 4.0 Development in the Smart Supply Chain Using a Hybrid DEMATEL and Interpretive Structural Modeling (ISM) Approach Analyzing Factors Influencing Quality 4.0 Development in the Smart Supply Chain Using a Hybrid DEMATEL and Interpretive Structural Modeling (ISM) Approach 24 54 220664 10.22034/smajournal.2025.519941.1018 FA Zahra Abbasi Meybodi Masters student of Performance Management, Department of Management, Meybod University, Meybod, Iran. Hossein Mohebbi Assistant Professor, Department of Industrial Management, Faculty of Human Sciences, Meybod University, Meybod, Iran 0000-0003-3859-8936 Journal Article 2025 04 28 In the era of digital transformation and increasing pressures on supply chains, the adoption of emerging technologies to enhance quality and ensure sustainable performance has become a strategic imperative. In this context, "Quality 4.0" emerges as a novel paradigm in quality management, leveraging tools such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data to move beyond traditional quality control approaches. This study aims to identify and analyze the key factors influencing the implementation of Quality 4.0 in smart supply chains. To achieve this objective, relevant factors were first extracted through a comprehensive literature review and expert consultation. Subsequently, the causal relationships among the factors were examined using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, followed by their hierarchical structuring via Interpretive Structural Modeling (ISM). The results offer a practical framework for decision-makers to identify foundational factors and prioritize them in facilitating the effective deployment of Quality 4.0. The findings provide valuable insights for developing innovative strategies that enhance flexibility, transparency, and competitive advantage in complex and dynamic supply chain environments. In the era of digital transformation and increasing pressures on supply chains, the adoption of emerging technologies to enhance quality and ensure sustainable performance has become a strategic imperative. In this context, "Quality 4.0" emerges as a novel paradigm in quality management, leveraging tools such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data to move beyond traditional quality control approaches. This study aims to identify and analyze the key factors influencing the implementation of Quality 4.0 in smart supply chains. To achieve this objective, relevant factors were first extracted through a comprehensive literature review and expert consultation. Subsequently, the causal relationships among the factors were examined using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, followed by their hierarchical structuring via Interpretive Structural Modeling (ISM). The results offer a practical framework for decision-makers to identify foundational factors and prioritize them in facilitating the effective deployment of Quality 4.0. The findings provide valuable insights for developing innovative strategies that enhance flexibility, transparency, and competitive advantage in complex and dynamic supply chain environments. https://www.smajournal.ir/article_220664_7cbc191094b8a38d2a83dfc082baacd3.pdf