
Air cargo networks play a crucial role in global economic growth, but are often hit by unpredictable events such as wars and natural disasters. The aim of this study is to explore the factors affecting the resilience of air cargo networks and to propose paths to enhance their resilience. In this paper, the impact of key factors such as network connectivity, redundancy, market demand, information sharing and collaboration, emergency response capability, and natural disasters on the resilience of the air cargo networks is thoroughly investigated, mainly from the three parts of concept definition, analysis of influencing factors, and exploration of enhancement paths. It is found that a single factor cannot adequately explain air cargo network resilience, while the combination of redundancy, information sharing and collaboration, and emergency response capability can significantly enhance network resilience. In addition, it was found that improving network connectivity and the ability to adapt to natural disasters also have a significant impact on network resilience. This study utilizes the fuzzy set qualitative comparative analysis (fsQCA) methodology and a questionnaire survey of air cargo networks stakeholders to construct a comprehensive framework that influences air cargo network resilience, and provide strategic recommendations for the government, air cargo industry, and enterprises to enhance network resilience. This study’s results have significant theoretical research value. They also offer important practical insights for optimizing air cargo network design and management, which can boost economic growth and stability.
fuzzy set qualitative comparative analysis, network resilience, Electrical engineering. Electronics. Nuclear engineering, influencing factors, Air cargo, resilience, supply chain, TK1-9971
fuzzy set qualitative comparative analysis, network resilience, Electrical engineering. Electronics. Nuclear engineering, influencing factors, Air cargo, resilience, supply chain, TK1-9971
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
