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

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.