Predicting Hot Spring Tourist Visit Intention in Post-COVID-19 Pandemic using the Theory of Planned Behavior
- 10.2991/978-2-494069-83-1_4How to use a DOI?
- Visit intention; hot springs; TPB; PLS-SEM
This study aims to examine tourist visit intention to hot spring destinations in the post-COVID-19 pandemic. The theory of planned behavior (TPB) was used as the main theoretical foundation to predict tourist visit intention. A quantitative research design was implemented in this study with a purposive sampling approach to collect the data. A total of 415 data were valid for further analysis using partial least square structural equation modeling (PLS-SEM). The result shows that all the TPB variables are significant. It implies that the TPB can predict tourist visit intention to hot spring destinations accurately. Thus, destination managers should take into consideration the TPB elements in decision-making.
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Cite this article
TY - CONF AU - Lusianus Kusdibyo AU - Rafiati Kania AU - Chandra Budhi Septyandi PY - 2022 DA - 2022/12/30 TI - Predicting Hot Spring Tourist Visit Intention in Post-COVID-19 Pandemic using the Theory of Planned Behavior BT - Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022) PB - Atlantis Press SP - 17 EP - 21 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-83-1_4 DO - 10.2991/978-2-494069-83-1_4 ID - Kusdibyo2022 ER -