Identifying Outbound Tourism Visitors by Using E-Services Behavioral and Psychological Markers

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.