An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks
This paper recommends that Vietnam Airlines use a pro-offered model to both evaluate and improve its current service network being operated at international airports. The model includes cluster analysis, ANOVA, and Scheffé post hoc to provide service performance insights and to serve as a complement...
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Format: | Article |
Language: | English |
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Wiley
2020-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2020/4156298 |
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author | Tien-Chin Wang Yen Thi Hong Pham |
author_facet | Tien-Chin Wang Yen Thi Hong Pham |
author_sort | Tien-Chin Wang |
collection | DOAJ |
description | This paper recommends that Vietnam Airlines use a pro-offered model to both evaluate and improve its current service network being operated at international airports. The model includes cluster analysis, ANOVA, and Scheffé post hoc to provide service performance insights and to serve as a complementary corporate benchmark for evaluating service potential and for identifying deficient service areas. By means of this model, the managerial board can designate a potent strategy for ground handling service. Additionally, the given model provides expatriate station managers with a clearer viewpoint of the localized productivity level as performed in relation to other airports concomitant within their own clusters. |
format | Article |
id | doaj-art-dbca0bcb916c42b7a99f2c28dba91728 |
institution | Kabale University |
issn | 0197-6729 2042-3195 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-dbca0bcb916c42b7a99f2c28dba917282025-02-03T05:54:27ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/41562984156298An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality BenchmarksTien-Chin Wang0Yen Thi Hong Pham1Department of International Business, National Kaohsiung University of Science and Technology, No. 415, Jiangong Rd., Sanmin Dist., Kaohsiung City 807, TaiwanDepartment of International Business, National Kaohsiung University of Science and Technology, No. 415, Jiangong Rd., Sanmin Dist., Kaohsiung City 807, TaiwanThis paper recommends that Vietnam Airlines use a pro-offered model to both evaluate and improve its current service network being operated at international airports. The model includes cluster analysis, ANOVA, and Scheffé post hoc to provide service performance insights and to serve as a complementary corporate benchmark for evaluating service potential and for identifying deficient service areas. By means of this model, the managerial board can designate a potent strategy for ground handling service. Additionally, the given model provides expatriate station managers with a clearer viewpoint of the localized productivity level as performed in relation to other airports concomitant within their own clusters.http://dx.doi.org/10.1155/2020/4156298 |
spellingShingle | Tien-Chin Wang Yen Thi Hong Pham An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks Journal of Advanced Transportation |
title | An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks |
title_full | An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks |
title_fullStr | An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks |
title_full_unstemmed | An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks |
title_short | An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks |
title_sort | application of cluster analysis method to determine vietnam airlines ground handling service quality benchmarks |
url | http://dx.doi.org/10.1155/2020/4156298 |
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