Tourism planning
shaghayegh parhizgar; Ali Zangiabadi
Abstract
This study structurally analyzes factors influencing urban branding for international tourism. Using the MICMAC technique, it examined relationships among 19 indicators through expert surveys and case studies of Tehran's Narmak and Elm-o-San'at neighborhoods. Findings identify institutional management ...
Read More
This study structurally analyzes factors influencing urban branding for international tourism. Using the MICMAC technique, it examined relationships among 19 indicators through expert surveys and case studies of Tehran's Narmak and Elm-o-San'at neighborhoods. Findings identify institutional management cohesion, a thriving creative economy, and strategic promotional campaigns as pivotal leverage variables with the highest potential to transform urban branding systems. Concurrently, physical infrastructure and distinctive urban symbols—particularly rich historical heritage and quality public spaces—constitute fundamental elements that stabilize and authenticate the city brand. The research demonstrates how strategic coordination between dynamic promotional elements and tangible urban assets creates competitive advantage. These results provide an evidence-based framework for policymakers to develop targeted strategies that enhance cities' global tourism appeal, offering practical insights for optimizing resource allocation in urban branding initiatives to maximize international visibility and attractiveness.
Sustainable development of tourism
mohammad mohammadipoor; Gholamreza Kazemian; Hossein Aslipour; Esmaeil Ghaderi
Abstract
Despite extensive research in the field of tourism governance and implementation, identifying knowledge gaps in this area seems essential to better guide future research. In this regard, the existing knowledge has been analyzed from the perspective of four main dimensions: who (actors), why (logic), ...
Read More
Despite extensive research in the field of tourism governance and implementation, identifying knowledge gaps in this area seems essential to better guide future research. In this regard, the existing knowledge has been analyzed from the perspective of four main dimensions: who (actors), why (logic), what (objectives), and how (tools and modes). Findings reveal that government and private actors dominate, while public, NGO, and professional actors play complementary roles. Governance logic has shifted from economic approaches to interaction and sustainability, aiming for sustainable development. Key tools include participatory, economic, and structural mechanisms, supported by cultural and legal tools, enhancing coordination and infrastructure. The participatory governance mode, emphasizing integrated and legal management, fosters sustainability and coherence. The discursive institutionalism framework is highlighted as a valuable approach for addressing knowledge gaps, driving innovation, promoting sustainability, and understanding discourse impacts on tourism governance.
Tourism planning
Mojtaba Javdan; Nilofar Abaspoor; Fateme Soltan Taghizade
Abstract
This study aims to expand the conceptual foundations of designing sustainable nature-based recreation experiences and to bridge the gap between experience design and sustainability theory. The research employed a systematic review and scientometric analysis of 94 articles published between 2008 and 2025 ...
Read More
This study aims to expand the conceptual foundations of designing sustainable nature-based recreation experiences and to bridge the gap between experience design and sustainability theory. The research employed a systematic review and scientometric analysis of 94 articles published between 2008 and 2025 in Scopus and Web of Science, following the PRISMA procedure. Scientometric results reveal that experience, sustainable tourism, nature-based tourism, and satisfaction constitute the main conceptual clusters. The systematic review led to the development of a system-oriented framework for designing sustainable experiences, encompassing antecedents (individual and destination drivers), process (value co-creation, interactive learning, environmental commitment, personalization, and innovation), and outcomes (meaningful visitor experiences and destination sustainability). This framework facilitates value co-creation, strengthens local ecosystem sustainability, and supports responsible management. The study’s novelty lies in proposing a systemic structure for sustainable nature-based recreation experience design, grounded in three core drivers—antecedents, process, and outcomes—and their associated themes.
Tourism planning
fatemeh azizi
Abstract
With the increasing elderly population, focusing on health-related aspects of tourism has become essential. This study aimed to analyze the knowledge structure of senior tourism with an emphasis on health components, using a mixed quantitative–qualitative approach through bibliometric analysis ...
Read More
With the increasing elderly population, focusing on health-related aspects of tourism has become essential. This study aimed to analyze the knowledge structure of senior tourism with an emphasis on health components, using a mixed quantitative–qualitative approach through bibliometric analysis and Total Interpretive Structural Modeling (TISM). Based on 270 Scopus-indexed articles (1979–2024), the quantitative phase employed co-citation and keyword co-occurrence analyses to identify key concepts and trends, while the qualitative phase modeled causal relationships. Results revealed three main conceptual clusters: mobility, green spaces, and health crises, alongside a shift in research focus toward mental health, medical tourism, and digital interaction. The conceptual model highlighted the central role of senior and medical tourism, through subjective well-being and quality of life, in promoting active aging. These findings provide a foundation for developing health-oriented policies and effective tourism interventions aimed at enhancing elderly well-being.
Sustainable development of tourism
yavar babaei; Shiva Khajeyi
Abstract
This study investigated the role of social responsibility on the green behavior of hotel employees among 4 and 5 star hotels in Tabriz. The research approach is based on positivism and has been conducted quantitatively. The statistical population of the study is managers and employees of 4 and 5 star ...
Read More
This study investigated the role of social responsibility on the green behavior of hotel employees among 4 and 5 star hotels in Tabriz. The research approach is based on positivism and has been conducted quantitatively. The statistical population of the study is managers and employees of 4 and 5 star hotels in Tabriz, of which 216 people were selected as samples using cluster sampling. A standard questionnaire was used to collect data, and the structural equation modeling and Amos software were used to analyze the research data. The results of the study showed that social responsibility and environmental concern of employees are effective on their green behavior. However, the effect of supporting sustainable tourism on green behavior was not confirmed. Another result of the study is the significant effect of social responsibility and environmental concern on supporting sustainable tourism.
Tourism planning
maryam seyednazari; Hossein Kuhestani; Fatemeh Kazemiyeh; Ghader Dashti
Abstract
This study aims to identify and explain the implementation stages of rural tourism marketing in Iran. Given the importance of tourism in improving rural economic and social conditions, the research offers a practical framework to enhance marketing processes. An exploratory mixed-method approach was employed. ...
Read More
This study aims to identify and explain the implementation stages of rural tourism marketing in Iran. Given the importance of tourism in improving rural economic and social conditions, the research offers a practical framework to enhance marketing processes. An exploratory mixed-method approach was employed. In the first phase, 25 semi-structured interviews with tourism experts were conducted and analyzed using qualitative content analysis via MAXQDA. In the second phase, the fuzzy Delphi method was used with 10 selected experts completing a closed-ended questionnaire. Data were analyzed through triangular fuzzy numbers and defuzzification. Results showed that rural tourism marketing involves 44 sub-codes and 10 main categories. The highest expert agreement was on “establishing a national credit line for domestic and international market development,” highlighting the importance of financial support. The lowest agreement was on “identifying leading villagers and traders. Findings stress the need for a structured, phased strategy and enhanced stakeholder collaboration.
Tourism planning
Davood Jamini; Farhad Javan; Ramin Atashbahar
Abstract
The main goal of the present research is to conduct an applied study on the use of machine learning algorithms as a subset of artificial intelligence and to compare their performance in locating eco-camps for tourism, which was conducted as a case study in the Shamshir tourism sample area. In order to ...
Read More
The main goal of the present research is to conduct an applied study on the use of machine learning algorithms as a subset of artificial intelligence and to compare their performance in locating eco-camps for tourism, which was conducted as a case study in the Shamshir tourism sample area. In order to achieve the main goal of the research, ten criteria (altitude, slope, slope direction, distance from the fault, angle of solar radiation, distance from the waste landfill, land use, distance from the river, distance from the road, and distance from the village and facilities) were used. The required data was extracted from various sources such as satellite images, OSM site, and digital elevation models, and initial data processing was performed in Arc GIS Pro software. Two algorithms, RF and GTB, and GIS software were used to analyze the data. The overall results of the research indicate the remarkable accuracy.
Sociology of tourism
Marzieh Moradi; Abolhasan Hosseini; Mohammad Safari
Abstract
This study aims to systematically analyze customer journey models in digital tourism using the conceptual approach of the “Paradigm Funnel.” This framework distinguishes between different levels of knowledge, from empirical data to fundamental concepts. Based on Boland et al.’s (2013) ...
Read More
This study aims to systematically analyze customer journey models in digital tourism using the conceptual approach of the “Paradigm Funnel.” This framework distinguishes between different levels of knowledge, from empirical data to fundamental concepts. Based on Boland et al.’s (2013) systematic review method, 12 academic articles were selected and analyzed across four levels: empirical observations, analytical methods, specific theories, and core assumptions. The findings show a dominant focus on empirical data and methods, with limited attention to theoretical foundations. The lack of independent review studies underscores the need for more comprehensive research. Digital technologies and online interactions play a key role in shaping customer decision-making models and offer opportunities for future studies in areas such as artificial intelligence, augmented reality, and big data. By identifying research gaps and proposing future directions, this study contributes to the development of digital marketing strategies and the design of enhanced customer experiences in tourism.
Tourism planning
seyedali naghavi; ghasem zarei; Mohammad Bashokouh Ajirlou; Naser Seifollahi
Abstract
The present study was conducted with the aim of presenting an innovative and forward-looking model to explain and predict the role of Phygital Marketing in the development of shopping tourism in Iran's free zones. The present research method was mixed, applied, and descriptive-analytical. In the qualitative ...
Read More
The present study was conducted with the aim of presenting an innovative and forward-looking model to explain and predict the role of Phygital Marketing in the development of shopping tourism in Iran's free zones. The present research method was mixed, applied, and descriptive-analytical. In the qualitative part, the main and subthemes of shopping tourism development were collected through semi-structured interviews with university professors, managers, and experts in free zones using the snowball method and examined with content analysis. In the quantitative part, a questionnaire was distributed among experts using the judgmental method. The factors identified were prioritized using the Fuzzy Delphi, scenarios were developed using the Taguchi experimental design, and finally the desired scenario was simulated using system dynamics modeling and factor-based modeling. The simulation results showed that by applying the desired scenario, the rate of shopping tourism development in Iran's free zones will increase by 86 percent.
tourism management
Ghazaleh Soltani; ameneh khadivar; neda paravian
Abstract
With the expansion of the internet and the emergence of social media, airlines are increasingly using these platforms to engage with customers. Twitter, as one of the most popular microblogging platforms, plays a key role in communication between airlines and passengers. This study aims to analyze sentiments ...
Read More
With the expansion of the internet and the emergence of social media, airlines are increasingly using these platforms to engage with customers. Twitter, as one of the most popular microblogging platforms, plays a key role in communication between airlines and passengers. This study aims to analyze sentiments and topics related to Iranian airlines on Twitter, based on 2,876 English tweets collected between April 2008 and March 2024 using Playwright. After preprocessing and interpreting 230 emojis with artificial intelligence, sentiment labeling was performed using both lexicon-based and machine learning approaches (RoBERTa model). Among the five evaluated algorithms, logistic regression with the lexicon-based method achieved the best performance, with an F-score of 0/81. Incorporating emoji information significantly improved model accuracy. Topic modeling with LDA revealed that “safety” was the primary concern of users. These findings can contribute to optimizing the communication and service strategies of Iranian airlines.