Tourist "sustainable intelligence" as a premise of segmentation
- DOI
- 10.2991/atf-16.2016.45How to use a DOI?
- Keywords
- sustainable tourism, sustainable intelligence, segmentation, latent class analysis
- Abstract
It is incontestable that sustainable tourism has long been worldwide main issue, however, only a few focus on the tourist as the key factor. In regard to tourist concern, it is essential to discuss tourist "sustainable intelligence" in which it shows tourists' ability to use their knowledge and experience of the impacts of tourism on the environment to develop a behaviour that contributes to sustainable tourism. Utilizing the method of latent class analysis, the findings of this paper are derived from the concept of tourist "sustainable intelligence". Three latent classes of tourists were formed showing diverse levels of knowledge, commitment, attitude and/or behaviour. These three tourist clusters are the reflective, unconcerned and pro-sustainable tourists. Data were collected from three hundred respondents who had stayed at least one night in Bandung. A simple random sampling was conducted to generate valid surveys. The Statistical Package for the Social Sciences (SPSS) version 21.0 was used to analyse the data generated from the respondents. This paper will identify the implications for destination management through segmentation and the possibility to purchase sustainability as well as contribute to the literature the viable concept of "sustainable intelligence".
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Priscilla Josary PY - 2016/05 DA - 2016/05 TI - Tourist "sustainable intelligence" as a premise of segmentation BT - Proceedings of the Asia Tourism Forum 2016 - the 12th Biennial Conference of Hospitality and Tourism Industry in Asia PB - Atlantis Press SP - 311 EP - 315 SN - 2352-5428 UR - https://doi.org/10.2991/atf-16.2016.45 DO - 10.2991/atf-16.2016.45 ID - Josary2016/05 ER -