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Assessment of airline industry using a new double-frontier cross-efficiency method based on prospect theory

Cross-efficiency method (CEM) is a well-known technique based on data envelopment analysis that provides policymakers with a powerful tool to measure the efficiency of decision-making units. However, there are two main gaps in the traditional CEM. First, it neglects the subjective preferences of dec...

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Autores principales: Ganji, Seyedreza Seyedalizadeh, Najafi, Mohammad, Mora-Cruz, Alexandra, Awasthi, Anjali, Ajirlu, Shahruz Fathi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982819/
https://www.ncbi.nlm.nih.gov/pubmed/37361059
http://dx.doi.org/10.1007/s10479-023-05225-5
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author Ganji, Seyedreza Seyedalizadeh
Najafi, Mohammad
Mora-Cruz, Alexandra
Awasthi, Anjali
Ajirlu, Shahruz Fathi
author_facet Ganji, Seyedreza Seyedalizadeh
Najafi, Mohammad
Mora-Cruz, Alexandra
Awasthi, Anjali
Ajirlu, Shahruz Fathi
author_sort Ganji, Seyedreza Seyedalizadeh
collection PubMed
description Cross-efficiency method (CEM) is a well-known technique based on data envelopment analysis that provides policymakers with a powerful tool to measure the efficiency of decision-making units. However, there are two main gaps in the traditional CEM. First, it neglects the subjective preferences of decision-makers (DMs), and therefore, cannot reflect the importance of self-evaluation compared to peer-evaluations. Second, it ignores the importance of anti-efficient frontier in the overall evaluation. The present study aims to incorporate the prospect theory into the double-frontier CEM to deal with these drawbacks while considering the preferences of DMs towards gains and losses. To address these drawbacks, this paper utilizes an aggregation method based on the prospect theory and consensus degree (APC) to reflect the subjective preferences of DMs. The second issue is also addressed by incorporating APC into the optimistic and pessimistic CEMs. Finally, the double-frontier CEM aggregated using APC (DAPC) is obtained by aggregating two viewpoints. As a real case study, DAPC is applied to evaluate the performance of 17 Iranian airlines based on three inputs and four outputs. The findings demonstrate that both viewpoints are influenced by DMs’ preferences. The ranking results achieved for more than half of the airlines based on the two viewpoints are significantly different. The findings confirm that DAPC deals with these differences and leads to more comprehensive ranking results by considering both subjective viewpoints simultaneously. The results also show that to what extent DAPC efficiency for each airline is influenced by each viewpoint. In this regard, the efficiency of [Formula: see text] is most influenced by the optimistic point of view (80.92%), and on the other hand, the efficiency of [Formula: see text] is most influenced by the pessimistic viewpoint (73.45%). KIS is the most efficient airline, followed by PYA. On the other hand, IRA is the least efficient airline, followed by IRC.
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spelling pubmed-99828192023-03-03 Assessment of airline industry using a new double-frontier cross-efficiency method based on prospect theory Ganji, Seyedreza Seyedalizadeh Najafi, Mohammad Mora-Cruz, Alexandra Awasthi, Anjali Ajirlu, Shahruz Fathi Ann Oper Res Original Research Cross-efficiency method (CEM) is a well-known technique based on data envelopment analysis that provides policymakers with a powerful tool to measure the efficiency of decision-making units. However, there are two main gaps in the traditional CEM. First, it neglects the subjective preferences of decision-makers (DMs), and therefore, cannot reflect the importance of self-evaluation compared to peer-evaluations. Second, it ignores the importance of anti-efficient frontier in the overall evaluation. The present study aims to incorporate the prospect theory into the double-frontier CEM to deal with these drawbacks while considering the preferences of DMs towards gains and losses. To address these drawbacks, this paper utilizes an aggregation method based on the prospect theory and consensus degree (APC) to reflect the subjective preferences of DMs. The second issue is also addressed by incorporating APC into the optimistic and pessimistic CEMs. Finally, the double-frontier CEM aggregated using APC (DAPC) is obtained by aggregating two viewpoints. As a real case study, DAPC is applied to evaluate the performance of 17 Iranian airlines based on three inputs and four outputs. The findings demonstrate that both viewpoints are influenced by DMs’ preferences. The ranking results achieved for more than half of the airlines based on the two viewpoints are significantly different. The findings confirm that DAPC deals with these differences and leads to more comprehensive ranking results by considering both subjective viewpoints simultaneously. The results also show that to what extent DAPC efficiency for each airline is influenced by each viewpoint. In this regard, the efficiency of [Formula: see text] is most influenced by the optimistic point of view (80.92%), and on the other hand, the efficiency of [Formula: see text] is most influenced by the pessimistic viewpoint (73.45%). KIS is the most efficient airline, followed by PYA. On the other hand, IRA is the least efficient airline, followed by IRC. Springer US 2023-03-03 /pmc/articles/PMC9982819/ /pubmed/37361059 http://dx.doi.org/10.1007/s10479-023-05225-5 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research
Ganji, Seyedreza Seyedalizadeh
Najafi, Mohammad
Mora-Cruz, Alexandra
Awasthi, Anjali
Ajirlu, Shahruz Fathi
Assessment of airline industry using a new double-frontier cross-efficiency method based on prospect theory
title Assessment of airline industry using a new double-frontier cross-efficiency method based on prospect theory
title_full Assessment of airline industry using a new double-frontier cross-efficiency method based on prospect theory
title_fullStr Assessment of airline industry using a new double-frontier cross-efficiency method based on prospect theory
title_full_unstemmed Assessment of airline industry using a new double-frontier cross-efficiency method based on prospect theory
title_short Assessment of airline industry using a new double-frontier cross-efficiency method based on prospect theory
title_sort assessment of airline industry using a new double-frontier cross-efficiency method based on prospect theory
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982819/
https://www.ncbi.nlm.nih.gov/pubmed/37361059
http://dx.doi.org/10.1007/s10479-023-05225-5
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