,Golnoush Jabbari - Department of Tourism, Faculty of Management, University of Science and Art, Yazd, Iran
Mohammad Hossein Imani Khoshkhoo - Professor, Faculty of Tourism, University of Science and Culture, Tehran, Iran
Mehdi Basouli - Associate Professor, Faculty of Tourism, University of Science and Culture, Tehran, Iran
Mir Mohamad Asadi - Department of tourism, Faculty of Humanities, Science and Arts University, Yazd, Iran

Stakeholders of the tourism industry are facing crises with many stress factors. Resilience is one of the most essential human abilities in critical situations. To improve the resilience of the stakeholders of the tourism industry, paying attention to spiritual health is very important. Spiritual health is a fundamental factor in the resilience of tourism industry stakeholders. This study aims to present a model of identifying and prioritizing the effective factors in spiritual health on the resilience of tourism stakeholders. For this purpose, information was collected through an in-depth study of the subject literature, and an in-depth interview with ۱۵ experts in the field of tourism who are familiar with tourism, spirituality, and culture, and coding was done with the exploratory approach of thematic analysis and using ATLAS-ti software. And finally, ۲۸ indicators and six components were extracted. Then, in the next stage, the research components were implemented by ۱۵ research experts using the questionnaire and interpretive-structural modeling (ISM) method, and using MATLAB software, the position, importance, and effectiveness of the extracted research components were presented at six levels. The results of this research state that the element of spiritual structure in tourism has the most impact and is the cornerstone of spiritual health in the resilience of the Stakeholders of the tourism industry, and the component of spiritual perception of the tourism stakeholders has the most effectiveness.

Spiritual Health, Resilience, tourism industry stakeholders, Thematic Analysis, interpretive-structural modeling (ISM)