DocumentCode :
675028
Title :
The empirical study of airline service dimension based on grey incidence cluster
Author :
Jianling Wang ; Junyan Wu
Author_Institution :
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2013
fDate :
15-17 Nov. 2013
Firstpage :
316
Lastpage :
319
Abstract :
As customers are the center of marketing, the distinctive features of airline services require that managers understand customer needs and expectations. In this study, an empirical study of airline service dimension in China is conducted, and grey incidence cluster is used to explore the dimension, some valuable conclusions are drawn. This method is easier to use, and more suitable especially when the sample is small and the data distributions are not normal.
Keywords :
customer services; grey systems; pattern clustering; travel industry; China; airline service dimension; data distributions; grey incidence cluster; Aircraft; Atmospheric modeling; Biological system modeling; Economics; Educational institutions; Safety; Schedules; airline service; cluster; dimension; grey incidence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2166-9430
Print_ISBN :
978-1-4673-5247-5
Type :
conf
DOI :
10.1109/GSIS.2013.6714789
Filename :
6714789
Link To Document :
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