Alireza Hamidzadeh Arbabi; Naser Seifollahi; Ghasem Zarei; Mohammad Bashokouh Ajirlou
Abstract
Today, tourism destination branding, has become a powerful tool for transformation of regions and digital reputation of a tourism destination is one of the main factors affecting its competitiveness. Considering the importance of this issue, the purpose of this research is to provide a digital reputation ...
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Today, tourism destination branding, has become a powerful tool for transformation of regions and digital reputation of a tourism destination is one of the main factors affecting its competitiveness. Considering the importance of this issue, the purpose of this research is to provide a digital reputation model for tourism destination brands. This research is of a qualitative type, which has designed the model using Foundation's data theory. The statistical population of this research was university faculty members, managers and tourism activists, and purposeful sampling was used to collect information that, 14 interviews were conducted and the basis for completing the interviews was theoretical saturation. Data analysis was performed in three stages of open, axial and selective coding using MAXQDA software. The final model consists of the totality of causal conditions, contextual conditions, intervening conditions, central category, strategies and consequences of the development of digital reputation of the tourism destination brand.
elahe kahdouei; farzam Farzan; mahbobe abedi samakosh
Abstract
Desert sports are an emerging tourism product and their expansion can play an important role in economic and cultural growth and development according to the climatic conditions of the country. The purpose of the current research was to identify the obstacles to the expansion of desert sports as a tourism ...
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Desert sports are an emerging tourism product and their expansion can play an important role in economic and cultural growth and development according to the climatic conditions of the country. The purpose of the current research was to identify the obstacles to the expansion of desert sports as a tourism opportunity. The research method was a qualitative type of foundation data and the research tool was a semi-structured interview. The research community included experts in the field of sports tourism, including professors, desert tour managers, and desert researchers. Sampling method was done in the form of snowball and the determination of the sample volume was based on the principle of theoretical saturation. Findings from 20 interviews were analyzed using open, central and selective coding.
shohreh moradpour; majid ghias
Abstract
This research leverages machine learning techniques to predict promising tourist destinations in the western region of Isfahan Province. A random forest prediction model is employed to identify the factors influencing tourist attraction in these areas and subsequently predict potential tourist hotspots. ...
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This research leverages machine learning techniques to predict promising tourist destinations in the western region of Isfahan Province. A random forest prediction model is employed to identify the factors influencing tourist attraction in these areas and subsequently predict potential tourist hotspots. The input data encompasses 34 sites, including springs, waterfalls, shrines, museums, historical structures, and more. Variables such as elevation, slope, aspect, vegetation cover, distance to rivers, distance to roads, temperature, and precipitation were selected as the most significant predictive variables based on the Variance Inflation Factor (VIF). Evaluation metrics reveal that the random forest model exhibits superior predictive performance, achieving the highest R² (0.91) and the lowest RMSE (1.06) and MAE (1.13). Slope, slope aspect, vegetation cover, and distance to rivers and roads were identified as the most critical predictors. Moreover, the spatial prediction map indicates that Chadgan and daran possess high potential for tourist reception.
khadijeh pourzabih sarhamami; Farzam Farzan; Morteza Dousti; ali Zackery
Abstract
The aim of this research is to explore the influential factors contributing to the enhancement of hunting tourism based on shooting. This study is applied in nature, based on an interpretive paradigm, and follows a mixed-methods approach (semi-exploratory qualitative and descriptive-analytical quantitative). ...
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The aim of this research is to explore the influential factors contributing to the enhancement of hunting tourism based on shooting. This study is applied in nature, based on an interpretive paradigm, and follows a mixed-methods approach (semi-exploratory qualitative and descriptive-analytical quantitative). It is forward-looking and conducted through a survey method. The participants were experts in tourism and shooting sports, selected using theoretical and snowball sampling. The saturation point was reached after 32 interviews. PESTEL environmental analysis was employed to identify the key factors. A comprehensive literature review was initially conducted, followed by using the Delphi technique in three rounds. In total, 27 key factors were identified and agreed upon by the Delphi panel. The findings not only enrich the literature but also provide a basis for developing policies and operational plans in hunting tourism, contributing to the growth of the tourism industry in Iran.
faeze sadat mirfakhraddini; Fatemeh Azizi
Abstract
In recent years, more than half of the employees of tourism industry are women. The aim of this study is to identify the financial indicators that affect the financial performance of women in the tourism industry. At first, using the literature review, the indicators were examined. Next, a preliminary ...
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In recent years, more than half of the employees of tourism industry are women. The aim of this study is to identify the financial indicators that affect the financial performance of women in the tourism industry. At first, using the literature review, the indicators were examined. Next, a preliminary model of the relationships between the indicators was drawn, and then SmartPLS3 software was used to fit the structural system. The statistical population of this study consists of a number of experts, managers and women working in the tourism, and data was collected from a total of 65 people. The results indicate that experience and financial literacy lead to the improvement and promotion of women's financial behavior, while financial behavior has a direct effect on financial resilience and ultimately helps to improve the financial performance of tourism enterprises.
Ali Zare Zardeini; alla nazar ali sofi; zeinab izadian; mohammad javdani
Abstract
The purpose of this research is to compare tourism content in elementary social studies books of Iran and Egypt. This research was conducted using qualitative content analysis. The population and the statistical sample of the research was the content of all social science textbooks in the elementary ...
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The purpose of this research is to compare tourism content in elementary social studies books of Iran and Egypt. This research was conducted using qualitative content analysis. The population and the statistical sample of the research was the content of all social science textbooks in the elementary levels of two countries, Iran and Egypt. The results showed that a lot of content about tourism is given in the social science textbooks of Egypt, which is not presented in the social science textbooks of Iran. Also, the analysis showed that the content of Iranian books often emphasizes the category of travel; But the purpose of the content of Egyptian books is to attract and earn money through foreign tourists. The results of this research can help curriculum planners to provide the field of tourism growth and development through the revision of textbooks.
Faezeh Asadian Ardakani
Abstract
Increasing tourist satisfaction is a key challenge in the tourism industry. In recent years, the application of artificial intelligence to address this challenge has attracted significant attention, leading to a surge in related research. This study analyzes existing literature using a bibliometric approach ...
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Increasing tourist satisfaction is a key challenge in the tourism industry. In recent years, the application of artificial intelligence to address this challenge has attracted significant attention, leading to a surge in related research. This study analyzes existing literature using a bibliometric approach to map the scientific landscape, identify emerging trends, and suggest future research directions. After applying appropriate search strategies and screening criteria, 499 articles were retrieved from Scopus and analyzed using the Bibliometrix package in R. The findings highlight that sentiment analysis and review of tourists' online feedback, especially through natural language processing tools, are crucial for understanding customer needs and enhancing satisfaction. Machine learning algorithms identifying behavioral patterns and predicting future demands significantly improve tourist experiences. Additionally, electronic word-of-mouth, as an emerging concept, directly impacts tourist satisfaction.
Mohammad Reza Asadi Zarch; esmaeil ghaderi; Mohammad Reza Rezvani; Roozbeh Mirzaei
Abstract
The purpose of the study is to identify the main components in planning tourism events. Scopus and Google Scholar databases were searched in the period from 1994 to 2024 with the keywords of event planning, tourism event, event framework and event models, and the articles were screened by the criteria ...
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The purpose of the study is to identify the main components in planning tourism events. Scopus and Google Scholar databases were searched in the period from 1994 to 2024 with the keywords of event planning, tourism event, event framework and event models, and the articles were screened by the criteria of non-repetition and relevance to the topic, and finally 140 articles with MAXQDA, Zotero, vosviewer, and artificial intelligence software were used to examine the entire text. The findings show that the period from 1990 to 2000 is dedicated to the formation of event planning foundations, 2000 to 2010 to the creation of event frameworks and models, and 2010 to 2024 to the integration of sustainability and interdisciplinary discussions, as well as planning Strategic and governance, stakeholder participation and cooperation, resource and risk planning, sustainability principles and innovative and interdisciplinary approaches are the main components of tourism event planning.
Fatemeh Yavarigohar; Mohammad Zavaran Hosseyni
Abstract
The tourism industry is facing many challenges, including rapid economic and social changes, and by entering the experience economy, tourists are looking for deep and meaningful experiences. In the meantime, the use of innovations such as gamification as a tool to respond to these challenges and create ...
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The tourism industry is facing many challenges, including rapid economic and social changes, and by entering the experience economy, tourists are looking for deep and meaningful experiences. In the meantime, the use of innovations such as gamification as a tool to respond to these challenges and create a lasting tourism experience has become particularly important. This research investigates the possibility of using gamification in Saad Abad complex of Tehran in order increase the memorability of the tourism experience. Based on the memorable Experience Design model, a game was designed that aimed to increase visitor engagement and participation. Afterwards, the impact of the game on the visitors' experience was measured through a questionnaire designed based on the MED model, in two stages before and after the game, using the within-subject method. In the end, the results of the research showed that gamification can help increase the memorability of a tourism experience.
AbdolMohammad Kashian
Abstract
Modern technologies have brought about significant transformations in various economic sectors and have impacted numerous industries, including the tourism industry. The development of these technologies, particularly in the field of information and communication technology, has played a crucial role ...
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Modern technologies have brought about significant transformations in various economic sectors and have impacted numerous industries, including the tourism industry. The development of these technologies, particularly in the field of information and communication technology, has played a crucial role in promoting tourist attractions and delivering more satisfactory services. This study, considering modern technologies as a key component in the tourism industry, examines the quality of their impact on attracting foreign tourists. Utilizing analytical data from different continents worldwide from 2009 to 2022, the research employs a Panel Autoregressive Distributed Lag (Panel ARDL) method. The results of the data analysis reveal that, contrary to expectations, the growth of modern technologies over the studied period has had a negative impact on attracting foreign tourists to Iran. The potential reasons for this phenomenon and strategies to address it are analyzed and discussed in this study.
Seyedeh Hamideh Kazemi Ghahfarokhi; Vali Nemati; Javad Madani; Mir Hamid Seyed Mousavi
Abstract
The tourism industry, relying heavily on natural resources, is a major contributor to environmental pollution and carbon emissions, making it essential to address its environmental impacts. This study aims to develop scenarios for the use of green technologies in low-carbon tourism through a mixed-method ...
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The tourism industry, relying heavily on natural resources, is a major contributor to environmental pollution and carbon emissions, making it essential to address its environmental impacts. This study aims to develop scenarios for the use of green technologies in low-carbon tourism through a mixed-method approach. In the first phase, using a qualitative method (focus groups), 23 key indicators were identified, and 18 influencing factors were determined. Subsequently, with a quantitative scenario-building approach, cost and access to green energy were identified as the most significant uncertainties. Based on the analysis, four future scenarios were developed: Low-Carbon (Green) Future, Unsuccessful Future, Costly Future, and Restricted Future. The desirable scenario could lead to sustainable destination development, cost reduction, and increased investment, whereas the undesirable scenario poses environmental risks and reduces travel motivation.
Leila Mirghadr; mehdi basouli; Manouchehr Jahanian
Abstract
Museums are an important part of the tourism industry and the potential to create and enhance the well-being of their visitors, the aim of the present study is to design a conceptual model for promoting the well-being of tourists in museums and identify the components and factors that affect it. For ...
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Museums are an important part of the tourism industry and the potential to create and enhance the well-being of their visitors, the aim of the present study is to design a conceptual model for promoting the well-being of tourists in museums and identify the components and factors that affect it. For this purpose, library studies were used to collect data, and 14 experts in the fields of museums, tourism, and psychology were interviewed semi-structuredly using the snowball sampling method. The research data were coded in the form of a qualitative content analysis method with an inductive approach and with the help of MaxQDA 2020 software. The findings indicate that intrapersonal factors, extrapersonal factors, overall experience with a focus on the flow experience and mindfulness are the most fundamental components in the formation of a conceptual model of promoting a sense of well-being of tourists in museum.
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