Marketing economics
Alireza Hamidzadeh Arbabi; Naser Seifollahi; Ghasem Zarei; Mohammad Bashokouh Ajirlou
Abstract
Today, tourism destination branding related to sustainable development concepts has become a powerful tool for transforming regions. On the other hand, the digital reputation of a tourism destination is one of the main factors affecting its competitiveness and attraction of new tourists. Hence, managers ...
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Today, tourism destination branding related to sustainable development concepts has become a powerful tool for transforming regions. On the other hand, the digital reputation of a tourism destination is one of the main factors affecting its competitiveness and attraction of new tourists. Hence, managers need to control the content affecting the digital reputation of the tourism destination brand. Considering the high importance of this issue, this research aims to provide a digital reputation model for tourism destination brands. Qualitative research has designed the model using the research strategy of the Foundation's data theory and the systematic design of Strauss and Corbin. Data collection was done through semi-structured interviews. The statistical population of this research was university faculty members, managers, and tourism industry activists. Purposeful sampling was used to collect information based on 14 interviews conducted, and the basis for completing the interviews was theoretical saturation. Data analysis was performed in three stages: coding, axial, and selective coding using MAXQDA software. Accordingly, causal conditions (tourism destination capacity, technological progress, economic advantages, tourism habits), contextual conditions (digital platforms, tourism facilities, institutional structures, technical infrastructures, society and culture), intervening conditions (political, economic and managerial factors, tourist characteristics), strategies (tourism destination management, digital marketing development, destination brand analysis, training of specialized human resources), and finally consequences (economic, social, brand equity, political and national consequences) are linked in the form of a comprehensive model.
Tourism planning
Mohammad Reza Asadi Zarch; esmaeil ghaderi; Mohammad Reza Rezvani; Roozbeh Mirzaei
Abstract
This systematic review aims to draw a general overview of tourism event planning studies and identify the main components of tourism event planning. For this purpose, Scopus and Google Scholar databases were searched from 1994 to 2024 with the keywords of event planning, tourism event, event framework, ...
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This systematic review aims to draw a general overview of tourism event planning studies and identify the main components of tourism event planning. For this purpose, Scopus and Google Scholar databases were searched from 1994 to 2024 with the keywords of event planning, tourism event, event framework, and event models, and articles were extracted. Then, these articles were screened by the criteria of non-repetition and relevance to the topic. Finally, 140 articles were analyzed using MAXQDA, Zotero, VOS viewer, and artificial intelligence software. The research findings show that the period from 1990 to 2000 is dedicated to forming event planning foundations, from 2000 to 2010 to creating frameworks and models, and from 2010 to 2024 to integrating sustainability and interdisciplinary discussions.
Also, the four components of strategic planning and governance principles, stakeholder participation and cooperation, resource and risk planning, sustainability principles, and innovative and interdisciplinary approaches are among the main components of tourism event planning studies.
Information systems
elaheh mohammadzadehlotfi; Mohammadhossein Imani Khoshkhoo; Seyed Saeid Hashemi
Abstract
Technology is one of the most influential forces that shape people's lives. The tourism industry has always been at the forefront of using technology. The present study is a mixed study (qualitative-quantitative). Semi-structured interviews were conducted to saturation (21 people). Thematic analysis ...
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Technology is one of the most influential forces that shape people's lives. The tourism industry has always been at the forefront of using technology. The present study is a mixed study (qualitative-quantitative). Semi-structured interviews were conducted to saturation (21 people). Thematic analysis was conducted using the Brown and Clark method and MAXQDA software to code the interviews. Also, Cohen's kappa index was used to validate the coding process in the qualitative part. In the quantitative part, data analysis was conducted using SPSS (exploratory factor analysis) and LISREL (confirmatory factor analysis) software. The convergent and divergent validity and reliability (Cronbach's alpha and composite reliability) of the model were confirmed.This study emphasizes the importance of using artificial intelligence in different stages of tourism marketing and shows that the use of this technology can lead to improved service quality, reduced costs, and increased productivity.
Sociology of tourism
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.
Tourism planning
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.
Marketing economics
Samira Doostar Manesh; Mahmoud Hassan Pour; Mohammad Hasan Zaal
Abstract
The primary aim of this study is to assess the influence of social networks, specifically Instagram, Facebook, YouTube, and TripAdvisor, on tourists' purchasing behavior through the lens of the AIDA model (Attention, Interest, Desire, Action) as an applied descriptive survey, the research targeted European ...
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The primary aim of this study is to assess the influence of social networks, specifically Instagram, Facebook, YouTube, and TripAdvisor, on tourists' purchasing behavior through the lens of the AIDA model (Attention, Interest, Desire, Action) as an applied descriptive survey, the research targeted European tourists and utilized an online snowball sampling method to collect data via 204 questionnaires. The results indicate that Instagram emerges as the most impactful social network influencing tourists' purchasing decisions, with an average rating of 503.91. In contrast, YouTube's impact is comparatively lower, with an average rating of 271.51. Furthermore, the analysis reveals that the effectiveness of social networks varies among individuals, with women particularly benefiting from the functionalities offered by these platforms, especially Instagram. This research provides valuable insights for tourism businesses to understand user behavior patterns on social networks and refine their marketing strategies to enhance tourists' purchasing experiences.
Marketing economics
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.
Tourism planning
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.
Tourism planning
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.
Tourism planning
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.
