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Volume 15, Issue 1 (Spring 2025)
Disaster Prev. Manag. Know. 2025, 15(1): 66-85 |
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Talaie H. The Enablers of Healthcare Supply Chain Resilience for Public Hospitals in Iran. Disaster Prev. Manag. Know. 2025; 15 (1) :66-85
URL: http://dpmk.ir/article-1-707-en.html
URL: http://dpmk.ir/article-1-707-en.html
Department of Industrial Management, Faculty of Administrative Sciences and Economics, Arak University, Arak, Iran.
Abstract: (700 Views)
Background and objective Recent disasters have shown that disruptions in the healthcare supply chain can lead to shortages of essential medical equipment necessary for proper patient care, creating medical and social crises, and increasing the demand for medical services. The present study aims to identify and rank the enablers of healthcare supply chain resilience in Iran, focusing on public hospitals.
Method This is a descriptive mixed-method study with a cross-sectional design conducted in 2024. The participants included 20 experts from the management section of public hospitals in Isfahan, Iran, who were selected using a judgment sampling method. Based on a systematic literature review, the enablers of healthcare supply chain resilience were identified and ranked using the Analytic Hierarchy Process (AHP) by employing the paired comparison kernel in Expert Choice software. Additionally, the cross-impact matrix multiplication (MICMAC) approach was employed to analyze the interrelationships between enablers.
Results The identified enablers were classified into four main groups: elastic capabilities (Agility, flexibility), reporting capabilities (sustainability, security, supply chain network design, robustness), cognitive capabilities (supply chain risk management, awareness/sensitivity), and operational features (IT capabilities, speed, collaboration). The elastic capabilities ranked first among the enabling groups. Based on the MICMAC analysis, agility, flexibility, and speed were placed in the linkage category, indicating that these enablers had the highest impact and could be significantly influenced by other factors.
Conclusion To enhance the resilience of the healthcare supply chain in public hospitals in Iran, relevant managers should pay special attention to the supply chain’s elastic capabilities (particularly agility) and reporting capabilities (mainly information technology). Also, they should incorporate long-term and sustainable strategies to increase the flexibility and speed of their plans.
Method This is a descriptive mixed-method study with a cross-sectional design conducted in 2024. The participants included 20 experts from the management section of public hospitals in Isfahan, Iran, who were selected using a judgment sampling method. Based on a systematic literature review, the enablers of healthcare supply chain resilience were identified and ranked using the Analytic Hierarchy Process (AHP) by employing the paired comparison kernel in Expert Choice software. Additionally, the cross-impact matrix multiplication (MICMAC) approach was employed to analyze the interrelationships between enablers.
Results The identified enablers were classified into four main groups: elastic capabilities (Agility, flexibility), reporting capabilities (sustainability, security, supply chain network design, robustness), cognitive capabilities (supply chain risk management, awareness/sensitivity), and operational features (IT capabilities, speed, collaboration). The elastic capabilities ranked first among the enabling groups. Based on the MICMAC analysis, agility, flexibility, and speed were placed in the linkage category, indicating that these enablers had the highest impact and could be significantly influenced by other factors.
Conclusion To enhance the resilience of the healthcare supply chain in public hospitals in Iran, relevant managers should pay special attention to the supply chain’s elastic capabilities (particularly agility) and reporting capabilities (mainly information technology). Also, they should incorporate long-term and sustainable strategies to increase the flexibility and speed of their plans.
Type of Study: Research |
Subject:
Special
Received: 2024/08/11 | Accepted: 2024/10/13 | ePublished: 2025/03/30
Received: 2024/08/11 | Accepted: 2024/10/13 | ePublished: 2025/03/30
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