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dc.contributor.authorWu, S
dc.contributor.authorKremantzis, MD
dc.contributor.authorTanveer, U
dc.contributor.authorIshaq, S
dc.contributor.authorO’Dea, X
dc.contributor.authorJin, H
dc.date.accessioned2024-05-07T13:32:37Z
dc.date.issued2024-05-09
dc.date.updated2024-05-06T14:10:53Z
dc.description.abstractThe COVID-19 pandemic posed unprecedented challenges to the airline industry, necessitating a focus on maintaining high efficiency for profitability. This study assesses the efficiency of 26 international airlines from 2019 to 2022 using a dynamic network data envelopment analysis (DNDEA) methodology. The model accounts for the dynamic effect between two consecutive periods and incorporates an internal structure to evaluate airline performance across multiple dimensions. It enables the assessment of overall, period-specific, and stage-specific efficiencies. The findings reveal that while overall efficiency is moderately high on average, no airline achieved full efficiency during the pandemic. Efficiency decreased notably from 2019 to 2020, with a partial recovery but not a return to pre-pandemic levels by 2022. Operational performance remains satisfactory and stable, while service and financial performance exhibit lower efficiency, especially among low-cost airlines compared to full-service counterparts. Additionally, the study explores airlines' environmental impact by considering greenhouse gas emissions. Comparative analysis with a dynamic DEA model without internal structure highlights theoretical contributions, and the study offers managerial insights for airline leaders and policymakers.en_GB
dc.identifier.citationVol. 118, article 102597en_GB
dc.identifier.doi10.1016/j.jairtraman.2024.102597
dc.identifier.urihttp://hdl.handle.net/10871/135901
dc.identifierORCID: 0000-0002-7957-2989 (Tanveer, Umair)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rightsCrown Copyright © 2024 Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectdynamic network DEAen_GB
dc.subjectglobal airline industryen_GB
dc.subjectCovid-19 pandemicen_GB
dc.subjectefficiencyen_GB
dc.titlePerformance evaluation of the global airline industry under the impact of the COVID-19 pandemic: A dynamic network data envelopment analysis approachen_GB
dc.typeArticleen_GB
dc.date.available2024-05-07T13:32:37Z
dc.identifier.issn1873-2089
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.identifier.journalJournal of Air Transport Managementen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_GB
dcterms.dateAccepted2024-05-06
dcterms.dateSubmitted2023-11-25
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-05-06
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-05-06T14:11:01Z
refterms.versionFCDAM
refterms.dateFOA2024-05-22T14:13:57Z
refterms.panelCen_GB


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Crown Copyright © 2024 Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as Crown Copyright © 2024 Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).