Influencing Factors of Japanese Visitors and Non-Visitors in Visiting Thailand: A Segmentation Analysis
Jing Tang1, Montida Chotichanapibal2, Kunakorn Liangsupong3, Muhammad Fachrizal4, Ampan Laosunthara5, Natt Leelawat6
1Jing Tang, Sirindhorn International Institute of Technology, Thammasat University, Thailand.
2Montida Chotichanapibal, Sirindhorn International Institute of Technology, Thammasat University, Thailand.
3Kunakorn Liangsupong, Sirindhorn International Institute of Technology, Thammasat University, Thailand.
4Muhammad Fachrizal, Sirindhorn International Institute of Technology, Thammasat University, Thailand.
5Ampan Laosunthara, Tokyo Institute of Technology, Japan.
6Natt Leelawat, Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Thailand. Risk and Disaster Management Program, Graduate School, Chulalongkorn University, Thailand.
Manuscript received on 17 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 864-870 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A11480581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Tourism is one of the biggest industries in Thailand which creates a large income to the country. Japan ranked fifth among 56 countries in visiting Thailand. As Japan is located in Asia with high purchasing power, it is a challenge for government to increase the growth rate of Japanese visitor. Thailand has to focus and attract both visitors and non-visitors group to come and visit Thailand to increase revenue to the country as well as build up rate of tourism. In this research, the segmentation classifies the Japanese visitors and non-visitors in Thailand where visitors are who ever visited Thailand and nonvisitors is who never visit Thailand. From studying the research papers bring us to the idea to make a segmentation of Japanese visitors into four categories based on two criteria: (1) visitors who had been to Thailand and planned to revisit; (2) visitors who had been to Thailand and did not plan to revisit; (3) non-visitors and never planned for a visit; and (4) non-visitors and planned for a visit. The research shows reasons of the decision to access the problem of each group, then correct it to attract the new potential Japanese tourists and those to revisit Thailand. The limitation of this research is a bias of the data since the data was collected in Thai Festival event and are only from Tokyo and Sendai which the result cannot represent for the whole Japan.
Keywords: Thailand, Japan, Tourism, Segmentation.
Scope of the Article: Predictive Analysis