| Summary: | 碩士 === 東吳大學 === 資訊管理學系 === 97 === International Air Transportation Association (IATA) popularized electronic tickets in June, 2008. All Airlines on the Internet faced the international competition. .How to promote consumers buying has already become an important thing for all airlines. Due to Internet development, consumers can get airline’s information and buy electronic tickets anytime through the airline’s Internet. So how to raise browsing rate will be a way which adds online shopping rate for airline conductors. Consequently, the research is about the effect of web traffic, ticket price and 11 hypotheses. The research samples adopt 50 flight safety evaluation records AERO International provide.
The research is about the construction of airline web traffic and ticket price: dependent variables are airlines web traffic and price. Airlines web traffic is according to Reach and Pageview that Alexa official website provides. Ticket price is airlines are Airports Council International’s (ACI) members which are the top 30 airport of global airports’ people pass in and out. For all airlines management characteristics and the development of airlines’ evaluation, the independent variables are two levels of company tactics and enterprise reputations and airline tactics’ positioning. Four levels of company tactics are the economic scale, category economy, outside linking and Shopbot. And, two layers of enterprise impression are enterprise reputation and individual value and preference. Therefore, there are two layers and four levels in the frame of research analysis. From airline web traffic and multiple regression analysis, we can understand the web traffic, ticket price and all variables’ relation.
In terms of analysis results, for airline web traffic and company tactics, we can discover company tactics’ economic scale, category economy, outside linking and Shopbot which increase airline web traffic. In addition, for ticket price and company tactic’s layers, we can know the layer of company tactic has eminent relation with Shopbot in this research. Through the research of analysis results, it expects to provide appropriate marketing tactics’ bases for airline conductors.
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