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

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)430-438
Number of pages9
JournalTourism Management
Volume60
Early online date29 Jan 2017
DOIs
DateAccepted/In press - 29 Dec 2016
DateE-pub ahead of print - 29 Jan 2017
DatePublished (current) - 1 Jun 2017

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.

    Structured keywords

  • Smart Networks for Sustainable Futures
  • MGMT Marketing and Consumption

    Research areas

  • OPEN DATA, Online reviews, Tourism , Travel propositions

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via Tourism Management at http://www.sciencedirect.com/science/article/pii/S0261517716302680 . Please refer to any applicable terms of use of the publisher.

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    Licence: CC BY-NC-ND

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