'You will like it!’ Using open data to predict tourists’ responses to a tourist attraction

Pantano, Eleonora and Priporas, Constantinos-Vasilios and Stylos, Nikolaos (2017) 'You will like it!’ Using open data to predict tourists’ responses to a tourist attraction. Tourism Management, 60 . pp. 430-438. ISSN 0261-5177

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Abstract

The increasing amount of user-generated content spread via social networking services such as reviews, comments, and past experiences, has made a great deal of information available. Tourists can access this information to support their decision making process. This information is freely accessible online and generates so-called “open data”. While many studies have investigated the effect of online reviews on tourists’ decisions, none have directly investigated the extent to which open data analyses might predict tourists’ response to a certain destination. To this end, our study contributes to the process of predicting tourists’ future preferences via MathematicaTM, software that analyzes a large set of the open data (i.e. tourists’ reviews) that is freely available on tripadvisor. This is devised by generating the classification function and the best model for predicting the destination tourists would potentially select. The implications for the tourist industry are discussed in terms of research and practice.

Item Type: Article
Keywords (uncontrolled): open data, online reviews, tourism, travel propositions
Research Areas: A. > Business School > Marketing, Branding and Tourism
Item ID: 21073
Useful Links:
Depositing User: Costas Priporas
Date Deposited: 10 Jan 2017 14:36
Last Modified: 19 Dec 2018 10:18
URI: http://eprints.mdx.ac.uk/id/eprint/21073

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