Document Type : Article extracted from dissertations

Authors

1 Master student of Geography and Tourism Planning, Department of Geography and Rural Planning, Faculty of Geographical Sciences and Planning, Isfahan University,Isfahan,Iran.

2 Assistance Professor, Department of Geography and Rural Planning, Faculty of Geographical Sciences and Planning, IsfahanUniversity, Isfahan,Iran.

3 Professor, Department of Geography and Rural Planning, Faculty of Geographical Sciences and Planning, Isfahan University,Isfahan, Iran

Abstract

Background and Aim: Benroud section of Isfahan city has a traditional structure in tourism and reaching the smart bed requires going through the traditional structure of tourism and removing its obstacles and challenges in these villages. Therefore, the present study has been formed with the aim of identifying these challenges and trying to address them.
Methods: The present research is of theoretical-applied type and in terms of study method, descriptive-analytical. . In the process of preparing and producing data, first, the factors of obstacles to the transition from traditional tourism to smart tourism have been identified using the opinions of 30 experts in the field of tourism through the Delphi method. To analyze the information of thirteen factors as strong impact barriers on smart tourism in Benroud section of Isfahan city, interpretive-structural modeling of ISM and then Mikomak software has been used.
Findings and Conclusion: The result obtained from the structural interpretation model showed that the most important factor of challenges and problems in providing a smart bed for local people and tourists in the villages of Ben Roud district of Isfahan district is related to the first level, which is related to business disbelief. Online platforms are the inability of eco-lodges to book online. These factors have the highest impact power. The results of Mick Mac analysis can be stated that all variables are part of the link variables, these variables have high dependence and high conductivity; Also, the results of Mick Mac analysis can be stated that all variables are part of link variables, these variables have high dependence and high conductivity.

Keywords

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