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 language | English |
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Title of host publication | Proceedings - 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012 |
Pages | 295-299 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 25 Jul 2012 |
Event | 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012 - Shanghai, China Duration: 30 May 2012 → 1 Jun 2012 |
Conference
Conference | 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, ICIS 2012 |
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Country/Territory | China |
City | Shanghai |
Period | 30/05/12 → 1/06/12 |
Keywords
- Data mining
- E-Services
- Outbound tourism
- Prediction
- Travel information search
- Visitor research
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems