• 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