The development of an evaluatiion model of e-commerce websiites for the taiiwanese aiirliine iindustry

Wen Hsien Tsai, Jun Der Leu, Wen Chin Chou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The airline industry employs advanced e-commerce technologies to retain frequent customers and attract new passengers, but it is likely that not all airlines have clear knowledge about how many gaps should be filled between the status quo and an ideal website. This study proposes an integrated model for evaluating airlines' websites in terms of the perspectives of "marketing mix 4Ps" and "website quality". In order to verify the practicality and usefulness of this model, an empirical study of the Taiwanese airline industry is offered to illustrate the application of the proposed model. The model first applies the DEMATEL method to cope with the interdependencies between criteria. It then converts the criteria's cause and effect relations into a visual structural map where the ANP method can help compute the weight of criteria. Finally, it uses the modified VIKOR method to rank e-commerce websites of the five Taiwanese airlines. Overall, the results show that the Taiwanese airlines still have a great deal of room to improve their websites. This proposed model not only provides helpful information for airlines to understand their websites' quality level, but also contributes to industrial applications in terms of providing some worthwhile recommendations for building an ideal website.

Original languageEnglish
Title of host publication17th European Conference on Information Systems, ECIS 2009
StatePublished - 2009
Event17th European Conference on Information Systems, ECIS 2009 - Verona, Italy
Duration: 8 Jun 200910 Jun 2009

Publication series

Name17th European Conference on Information Systems, ECIS 2009

Conference

Conference17th European Conference on Information Systems, ECIS 2009
Country/TerritoryItaly
CityVerona
Period8/06/0910/06/09

Keywords

  • Decision making
  • E-commerce
  • E-marketing
  • Web site analysis

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