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. 2023 Apr;2677(4):350-379.
doi: 10.1177/03611981221104462. Epub 2022 Jul 12.

Analysis of Factors Affecting the Sustainable Success of Airlines During the COVID-19 Pandemic

Kasım Kiraci  1 , Gökhan Tanriverdi  2 , Ercan Akan  3
Affiliations

Analysis of Factors Affecting the Sustainable Success of Airlines During the COVID-19 Pandemic

Kasım Kiraci et al. Transp Res Rec. 2023 Apr.

Abstract

The COVID-19 pandemic increased the risk of financial distress, bankruptcy, or both, in the airline industry. Whether airlines can survive or not during and/or after the pandemic is closely related to their decisions and actions which will enable their success by increasing their resilience. In crisis periods such as COVID-19, the decisions taken by airlines are strategically important for achieving sustainable success. Thus, it is critical to understand which factors are more important for airlines to shape their actions and make correct decisions. This paper investigates the sustainable success factors on which airlines should focus to provide resilience during the COVID-19 pandemic crisis. It provides a robust model using the interval type-2 fuzzy analytic hierarchy process (IT2FAHP) and interval type-2 fuzzy Decision Making Trial and Evaluation Laboratory (IT2FDEMATEL) to identify and rank success factors. The findings indicate that financial and operational factors are extremely important to ensure resilience for airlines. In addition, the results of the study reveal that operational factors and information sharing factors have an impact on financial factors and customer satisfaction.

Keywords: AHP; Covid-19; DEMATEL; airline industry; crisis management; interval type 2 fuzzy sets; organizational resilience; success factors.

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Conflict of interest statement

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Trapezoidal interval type-2 fuzzy numbers.
Figure 2.
Figure 2.
Proposed methodology.
Figure 3.
Figure 3.
Causal diagram developed with Di + Ri and Di−Ri values.
See this image and copyright information in PMC

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