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An ordinal logistic regression model for analysing airport passenger satisfaction

An ordinal logistic regression model for analysing airport passenger satisfaction Purpose – This paper aims to provide a tool for measuring air passenger satisfaction and for identifying the critical service aspects available in the terminal in order to offer services characterised by a high level of quality. Design/methodology/approach – Statistical analysis of experimental data collected by customer satisfaction survey. Modelling by the logistic regression approach This paper explores a methodology useful for measuring airport service quality by taking into account the passenger's point‐of‐view. Findings – The comparison between the extended and reduced model showed an insignificant impact of some services aspects on the passenger overall satisfaction, and particularly, the services linked to the helpfulness of personnel, airport appearance, airport signposting, toilets inside the terminal, and availability and frequency of bus links. The key to the reading of this results can be searched in the low correlation between the judgements expressed on some service aspects and the judgements on the overall service. Research limitations/implications – A more exhaustive list of service aspects should be investigated, and particularly the check‐in and checkout process, or flying services. The robustness of data should be verified and the model should be tested by using alternative and more current data sets. Practical implications – By using the proposed models, the level combinations among the service aspects that give a desired value of overall satisfaction can be identified, and the company managing the airport services can have some suggestions in order to improve passenger satisfaction. Originality/value – The value of the paper lies in having considered a consumer‐based method requiring input data collected by an experimental survey through a simple questionnaire. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png EuroMed Journal of Business Emerald Publishing

An ordinal logistic regression model for analysing airport passenger satisfaction

EuroMed Journal of Business , Volume 4 (1): 18 – May 15, 2009

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Publisher
Emerald Publishing
Copyright
Copyright © 2009 Emerald Group Publishing Limited. All rights reserved.
ISSN
1450-2194
DOI
10.1108/14502190910956684
Publisher site
See Article on Publisher Site

Abstract

Purpose – This paper aims to provide a tool for measuring air passenger satisfaction and for identifying the critical service aspects available in the terminal in order to offer services characterised by a high level of quality. Design/methodology/approach – Statistical analysis of experimental data collected by customer satisfaction survey. Modelling by the logistic regression approach This paper explores a methodology useful for measuring airport service quality by taking into account the passenger's point‐of‐view. Findings – The comparison between the extended and reduced model showed an insignificant impact of some services aspects on the passenger overall satisfaction, and particularly, the services linked to the helpfulness of personnel, airport appearance, airport signposting, toilets inside the terminal, and availability and frequency of bus links. The key to the reading of this results can be searched in the low correlation between the judgements expressed on some service aspects and the judgements on the overall service. Research limitations/implications – A more exhaustive list of service aspects should be investigated, and particularly the check‐in and checkout process, or flying services. The robustness of data should be verified and the model should be tested by using alternative and more current data sets. Practical implications – By using the proposed models, the level combinations among the service aspects that give a desired value of overall satisfaction can be identified, and the company managing the airport services can have some suggestions in order to improve passenger satisfaction. Originality/value – The value of the paper lies in having considered a consumer‐based method requiring input data collected by an experimental survey through a simple questionnaire.

Journal

EuroMed Journal of BusinessEmerald Publishing

Published: May 15, 2009

Keywords: Air transport; Customer satisfaction; Regression analysis; Italy

References