Open AccessProceedings Article
Modeling factors that influence online travel booking
Michael Conyette
- pp 205-210
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TLDR
This model predicts that consumers who previously booked specific travel products such as hotels or airline tickets will have a greater intention to book other travel products online and is one of only a few models available for predicting travel product booking.Abstract:
Data was collected from an online questionnaire completed by 1,198 respondents in 2008. Analysis of the dataset involved, correlation analysis, exploratory factor analysis, and logistic regression. In the final model building stage, a logistic regression model is generated containing key factors that lead to online travel booking intention. These factors are a unique set of socio and psychographic variables that can be used to more accurately predict website booking of travel products. The contribution to literature that this research makes is that it appears to be one of only a few models available for predicting travel product booking. For instance, this model predicts that consumers who previously booked specific travel products such as hotels or airline tickets will have a greater intention to book other travel products online. This research study also shows the relevance of the Theory of Reasoned Action to online travel but it goes further by enabling the quantification of the strength of variables such as key beliefs, attitudes and subjective norms.read more
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A Framework Explaining How Consumers Plan and Book Travel Online
TL;DR: In this article, a Conceptual Framework was developed showing the connection between online searching, planning and booking of leisure travel products and the relationship between these variables is tested using logistic regression.
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A Framework Explaining How Consumers Plan and Book Travel Online
TL;DR: In this article, a Conceptual Framework was developed showing the connection between online searching, planning and booking of leisure travel products and the relationship between these variables is tested using logistic regression.
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Evidence That Travel Product Knowledge Includes Familiarity with Travel Products and Destinations
TL;DR: In this paper, a survey was designed including six questions about travel knowledge with some questions referring to 'products' and others to 'destinations' and confirmatory factor analysis of the construct travel product knowledge was used to assess the underlying variable that is reflected when respondents refer to knowledge of travel products and destinations.
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Evidence that Travel Product Knowledge Includes Familiarity with Travel Products and Destinations
TL;DR: In this article, travel product knowledge is defined as what people perceive they know about a product or in terms of what knowledge the individual has stored in memory, and a survey was designed including six questions about travel knowledge with some questions referring to products and others to destinations.
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Faktor Pengaruh Purchase Intention Berdasarkan Perspektif Konsumen pada Aplikasi Mobile Online Travel Booking
Handrie Noprisson,Marissa Utami +1 more
TL;DR: In this article, the influence of a consumer perspective based on trust, perceived value, brand image, product diagnosicity on increasing purchase intention for online travel booking applications was studied.
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