Identifying outbound tourism visitors by using e-Services behavioral and psychological markers

Edmond H.C. Wu, Chun Hung Roberts Law, Brianda Jiang, Yaou Hu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

With the fast growing of outbound tourism visitors in Asia Pacific regions in recent years, how to provide better quality services to these travel consumers is a crucial problem that the tourism industry should most concern. A new global trend is that more and more people rely on innovative e-Tourism IT solutions to search travel information or make reservations through search engines and travel agents online platforms. Hence, how to predict consumers traveling decisions based on their online behavioral or psychological patterns would be an interesting research topic. In this paper, a novel predictive model is proposed to find such consumer markers that can identify potential outbound visitors that can assist applications such e-Marketing of travel products, tourism e-Portal website development and outbound destinations promotion.
Original languageEnglish
Title of host publicationProceedings - 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012
Pages295-299
Number of pages5
DOIs
Publication statusPublished - 25 Jul 2012
Event2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012 - Shanghai, China
Duration: 30 May 20121 Jun 2012

Conference

Conference2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012
Country/TerritoryChina
CityShanghai
Period30/05/121/06/12

Keywords

  • Data mining
  • E-Services
  • Outbound tourism
  • Prediction
  • Travel information search
  • Visitor research

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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