Multivariate Data Envelopment Analysis to Measure Airline Efficiency in European Airspace: A Network-Based Approach

Hermoso, Ramón and Latorre, Pilar and Martínez Nuñez, Margarita (2019). Multivariate Data Envelopment Analysis to Measure Airline Efficiency in European Airspace: A Network-Based Approach. "Applied Sciences", v. 9 (n. 24); pp. 5312-5335. ISSN 2076-3417. https://doi.org/10.3390/app9245312.

Description

Title: Multivariate Data Envelopment Analysis to Measure Airline Efficiency in European Airspace: A Network-Based Approach
Author/s:
  • Hermoso, Ramón
  • Latorre, Pilar
  • Martínez Nuñez, Margarita
Item Type: Article
Título de Revista/Publicación: Applied Sciences
Date: 2019
ISSN: 2076-3417
Volume: 9
Subjects:
Freetext Keywords: data envelopment analysis; network analysis; social media; European airlines
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, data envelopment analysis (DEA) is applied to exhaustively examine the efficiency of the main airline companies in the European airspace by using novel input/output parameters: business management factors, network analysis metrics, as well as social media estimators. Furthermore, we also use network analysis to provide a better differentiation among efficiency values. Results indicate that user engagement, as well as the analysis of the position within the airspace-from an operative perspective, influence the efficiency of the airline companies, allowing a more comprehensive understanding of its functioning.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTIN2016-78011-C4-3-RUnspecifiedUnspecifiedDatos 4.0: retos y soluciones-UZ

More information

Item ID: 64039
DC Identifier: http://oa.upm.es/64039/
OAI Identifier: oai:oa.upm.es:64039
DOI: 10.3390/app9245312
Official URL: https://www.mdpi.com/2076-3417/9/24/5312
Deposited by: Memoria Investigacion
Deposited on: 01 Feb 2021 10:58
Last Modified: 01 Feb 2021 10:58
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