Post-Pandemic Travel Behaviour: Case From Republic of Serbia

Abstract

This paper explores perceptions about tourists' behaviour after a pandemic. Perceptions during the pandemic are also important, so on this occasion, they are connected with the planned tourist trips in the future. The research makes a new contribution to the understanding of tourists' behaviour during and after the pandemic and planned trips in the future. The research aims to test the model of planned trips in the future to identify post-pandemic travel behaviour. The data were collected on the territory of the Republic of Serbia by the method of an anonymous questionnaire. Five latent variables were used for data analysis: intra pandemic perception, attitude, subjective norm, perceived behavioural control, and post-pandemic travel. The SEM-PLS structural equation model using intelligent PLS software (version 3.0) was used in the data analysis. The results show that the used independent variables (attitude, subjective norm, perceived behavioural control) significantly impact the intention to visit a destination in the future.