Purpose: The tourism industry is one of the crucial economic sectors deeply affected by the
Covid-19 pandemic, especially rural tourism, which has been one of the main sources of income
and employment for the local community and residents of the tourist villages. Therefore, this study
aims to provide a measurement model for factors affecting rural tourism resilience in the Shamshir
tourist village (located in Paveh County).
Methods: The present quantitative and applied study is conducted by the descriptive-analytical
method. The statistical population includes all residents of Shamshir village working in the
tourism sector. In this study, simple random sampling available for research was used to obtain
an ideal sample. And Cochran's modified formula (n = 121) was used to determine the sample
size. The tool used in this research is a questionnaire developed by the researcher, whose validity
was formally confirmed using experts' opinions. Its reliability was also confirmed by calculating
Cronbach's alpha coefficient. Partial least squares structural equation modeling (PLS-SEM) was
used for the experimental data analysis, and multigroup analysis (MGA) was used to investigate the
heterogeneity of the socio-economic status of the villagers.
Results: The results of structural equation modeling showed that among different factors, the
human capital factor (β = 0.636, sig = 0.000) and financial capital (β = 0.255, sig = 0.000) have the
greatest effect on the resilience of villagers.
Conclusion: Improving literacy levels and providing the necessary platform for earning extra
income play a decisive role in improving the level of resilience of people active in the tourism
sector. Thus, strengthening them should be on the agenda of policymakers and tourism development