Predicting Hot Spring Tourist Visit Intention in Post-COVID-19 Pandemic using the Theory of Planned Behavior

DOI

10.2991/978-2-494069-83-1_4How to use a DOI?

Keywords

Visit intention; hot springs; TPB; PLS-SEM

Abstract

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.

Copyright

© 2022 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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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  -