An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks

Joint Authors

Wang, Tien-Chin
Pham, Yen Thi Hong

Source

Journal of Advanced Transportation

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-05-30

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Wang, Tien-Chin& Pham, Yen Thi Hong. 2020. An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1175597

Modern Language Association (MLA)

Wang, Tien-Chin& Pham, Yen Thi Hong. An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks. Journal of Advanced Transportation No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1175597

American Medical Association (AMA)

Wang, Tien-Chin& Pham, Yen Thi Hong. An Application of Cluster Analysis Method to Determine Vietnam Airlines’ Ground Handling Service Quality Benchmarks. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1175597

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1175597