2020
DOI: 10.3390/su122410323
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Competitiveness Evaluation Methodology for Aviation Industry Sustainability Using Network DEA

Abstract: The purpose of this study is to develop the methodology to assess the sustainability of the aviation industry based on network data envelopment analysis (DEA) for the assessment of the national aviation industry process productivity. The national aviation industry is classified into the front stage, corresponding to the aviation market, and the behind stage, the ecosystem of the aviation industry from which added value is created. DEA for each stage and network DEA analysis from a system perspective and a proc… Show more

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Cited by 9 publications
(4 citation statements)
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“…In order to reduce complexity, NextGen is a series of interlinked programs, portfolios, systems, policies, and procedures which introduce clarity into the system. (Song, 2020;Federal Aviation Administration, 2022).…”
Section: Methodsmentioning
confidence: 99%
“…In order to reduce complexity, NextGen is a series of interlinked programs, portfolios, systems, policies, and procedures which introduce clarity into the system. (Song, 2020;Federal Aviation Administration, 2022).…”
Section: Methodsmentioning
confidence: 99%
“…The study of regional competitiveness describes the following models: decomposition model, pyramid model, European Competitiveness Index (ECI), competitiveness cap, World Economic Forum (WEF) competitiveness factor, International Management Development Institute (IMD), and World Bank (Chrobocińska, 2021). Some models, such as Porter's Diamond, frame the assessment of competitiveness at microeconomic scale (Song et. al, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Accordingly, there is a huge gap in the literature on the transition from oversimplified complex network models toward scalable optimization-based air transportation resilience and recovery approaches [93][94][95][96]; the latter ones usually being highly intractable in terms of computation. Examples for other air transportation domains that could be modeled as complex networks include airport self-service locations [97], network-based representations of airport duty-free shops [98], queuing/waiting times in airports [99], or the air transportation sector and its efficiency at large [100,101]. We believe that studies exploiting the strengths of both domains, e.g., the tractability of complex network analysis and formal goals of optimization, will be of strategic importance for further pushing research on air transportation resilience.…”
Section: Operational Patterns and Dynamicsmentioning
confidence: 99%