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Volume 40, Issue 2 (2025)                   GeoRes 2025, 40(2): 173-183 | Back to browse issues page
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Behzadi Rad M, Zangeneh Shahraki S, Hosseini A. Impact of Tourism Branding on the Components of Tourist Experience in Tehran. GeoRes 2025; 40 (2) :173-183
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1- Department of Geography and Urban Planning, University of Tehran, International Campus Kish, Kish, Iran
2- Department of Geography and Urban Planning, Faculty of Geography, University of Tehran, Tehran, Iran
* Corresponding Author Address: No. 29, 4th Floor, University of Tehran, International Campus Kish, Haft Tir Square, Shahid Hamidreza Baharmastian Alley, Kish, Iran. (behzadirad@ut.ac.ir)
Abstract   (188 Views)
Aims: In today’s world, tourism is recognized as one of the important economic and cultural industries. Tourism branding, as a key strategy, can help attract tourists and enhance their experience.
This research aims to examine tourism branding’s impact on tourist experience and the factors that play a role in this process.
Methodology: This study employed a combination of library and field methods for data collection. The statistical population of this research includes incoming Iranian tourists to Tehran. Due to the lack of precise statistics regarding the number of incoming tourists, Cochran’s formula for an unlimited population was used to determine the sample size, which was estimated to be 384 individuals. Simple random sampling was conducted among tourists who arrived in the city during the ancient Nowruz holidays of 2024. Additionally, for data analysis and research results, structural equation modeling was performed using PLS SMART 4 software.
Findings: Tourism branding has a positive and significant impact on tourists’ experience and satisfaction. In particular, the construct of “tourist satisfaction” shows the highest R² and Q² values, demonstrating its strong ability to explain variations and predict outcomes.
Conclusion: The research model had acceptable validity and reliability, and the strong structural model fit was confirmed. Among the constructs, tourist satisfaction achieved the highest levels of validity, reliability, and predictive power, and was identified as the key factor in explaining the endogenous variables. Tourist experience and smart technologies significantly contributed to strengthening the model, although their impact was lower compared to tourist satisfaction.

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