Title :
Identifying Outbound Tourism Visitors by Using E-Services Behavioral and Psychological Markers
Author :
Wu, E.H.C. ; Jiang, Bo ; Law, R. ; Yaou Hu
Author_Institution :
Sch. of Tourism Manage., Sun Yat-sen Univ., Guangzhou, China
fDate :
May 30 2012-June 1 2012
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.
Keywords :
Internet; human computer interaction; travel industry; Asia Pacific regions; consumers traveling decision prediction; e-services behavioral; online behavioral pattern; online psychological pattern; outbound destinations promotion; outbound tourism visitor identification; predictive model; psychological markers; search engines; tourism e-portal Website development; tourism industry; travel products e-marketing; Accuracy; Data models; Educational institutions; Logistics; Predictive models; Psychology; data mining; e-Services; outbound tourism; prediction; travel information search; visitor research;
Conference_Titel :
Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-1536-4
DOI :
10.1109/ICIS.2012.59
