Title of article
The Impact of Internal and External Driving Forces and Strategic Decisions on Supply Chain Risk Management (Case Study: Automotive Industry)
Author/Authors
Seyed Nezhad Fahim ، Reza Department of Accounting - Islamic Azad University, Lahijan Branch , Gholami Gelsefid ، Fatemeh Department of Mathematics - Islamic Azad University, Rudsar Amlash Branch
From page
472
To page
491
Abstract
The primary purpose of this research was to understand the importance of supply chain strategies in the field of supply chain risk management, emphasizing the effectiveness and efficiency of agile and lean strategies to create resilience and robustness in the supply chain. Data was collected from 392 supply chain experts working in Iran’s automotive industry to test hypotheses through structural equation modeling. The findings of this study show that Market Orientation (MO) (as an external force) has more signicant impact on the development of Agile Strategy (AS) than Lean Strategy (LS). In contrast, the Quality Management (QM) system (as an internal force) is highly correlated with the development of lean supply chain strategies. Moreover, agile and lean strategies also have a signicant impact on a resilient and Robust Supply Chain (RB). The proposed model helps organizations understand and create an ideal supply chain by implementing the right combination of both agile and lean supply chain strategies, which in turn helps to create a resilient and RB. Therefore, the findings of this study help policymakers to improve supply chain strategies by incorporating new management practices. This is original research that has various valuable insights for academic researchers and also supply chain strategy professionals as it reveals empirical evidence of the past vital concepts.
Keywords
Quality management , Market orientation , Risk management , Agile strategy , Lean strategy , Leagile strategy , Supply chain resilience , Supply chain robustness
Journal title
Journal of Applied Research on Industrial Engineering
Journal title
Journal of Applied Research on Industrial Engineering
Record number
2760598
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