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The conversation around customer satisfaction has evolved with the development of robots, artificial intelligence, and intelligent automation, particularly in their application within travel, tourism, and hospitality. In this regard, this research aims to provide detailed information about the impact of artificial intelligence on future marketing in the field of smart tourism by systematically reviewing articles from the last 10 years. The key foundations identified in the marketing of smart tourism companies include smart pricing strategies, marketing through user behavior with artificial intelligence, Metaverse marketing, and the development of tourism marketing with AI. Additionally, the study explores the future of tourism marketing in a world influenced by artificial intelligence, advertising strategies in smart tourism marketing, applications of AI in this sector, and the role of AI influencers. The review of over a hundred articles has also highlighted privacy issues in the realm of artificial intelligence. As a result, artificial intelligence algorithms have enabled the creation of highly personalized marketing campaigns in tourism. These algorithms analyze vast amounts of data regarding individual preferences, behaviors, and past interactions to deliver messages, products, and offers tailored to each consumer. Consequently, marketing content becomes uniquely applicable to each user.

The tourism industry is increasingly adopting smart technologies to enhance visitor experiences and organizational performance. This article explores factors influencing the acceptance of smart destination models by tourism companies. The study, based on the technology-organization-environment framework, suggests that support for smart destination projects and motivation to join are influenced by technological, organizational, and environmental factors. According to the purpose, the present research is of applied type and according to the method, it is descriptive survey and quantitative. The statistical population of this study is the employees and managers of tourism businesses in Tehran, 200 of whom were selected as a sample using the accessible method. Questionnaire method was used to collect data. This research includes seven variables of specific benefits, competitive pressure, support for the destination project, commitment to local development, adoption intention, perceived usefulness, and perceived ease. Finally, in order to analyze the data, structural equations and Smart-PLS 3 software have been used. The research, conducted on 200 employees and managers of Tehran-based tourism businesses, found that intention to join is influenced by perceived usefulness and ease of acceptance, while public support is influenced by commitment to local development

Smart tourism is a newly emerging concept that highlights the growing reliance of tourism destinations on advanced information and communication technologies. Given the importance of this topic, this study aims to identify the factors influencing the development of smart tourism in the Azad region. The research adopts a descriptive-exploratory approach, with the statistical population comprising experts familiar with the development of smart tourism and the Aras Free Zone. Using the snowball sampling method, 10 experts were selected as the research sample. Structural-Interpretive Modeling (ISM) and MICMAC analysis were employed to analyze the data. The findings revealed that out of 33 initially identified factors, 22 were finalized as the key contributors to smart tourism development. Among these, six critical factors were identified: budget allocation, regional tourism potential, tourist needs assessment, e-government infrastructure, policymaking, and planning. These factors were deemed most influential in driving the development of smart tourism in the Aras Free Zone.

With the sustainable development of technology and innovation in people's travel styles, smart tourism(ST) technologies are widely used in various fields of tourism. Smart technologies, especially applications related to tourism, have changed the traditional travel experience and increased the competition of destinations. The purpose of this study is to identify the dimensions of tourists' experience of ST in Tabriz city.

In this study, a qualitative approach with a content analysis method was used. for collecting the data, while studying library resources, a field-method with an in-depth-interview technique was used to identify indicators in technological dimensions, services, psychology and new areas. The key beneficiaries of ST experience were selected by the snowball sampling method, and theoretical saturation was obtained after interviewing 18 of them. Next, MaxQuda software was used for content analysis.

The findings of the research indicate that 32 indicators in the form of 8 subcategories include personalized services (5-indicators), access (3-indicators), awareness (4-indicators), interaction (3-indicators), security and privacy private (4-indicators), technological developments (6-indicators), co-creation (3-indicators) and psychological aspects (4-indicators), form the experience dimentions of ST. This results confirmed that tourists get a richer experience when using smart technologies, which can affect their overall satisfaction with their trip and their behavioral tendencies in the future.

The results have provided valuable information and suggestions for the management of urban tourism destinations that are concerned about the development of ST in their city which can provides a clear view of what they should pay attention to.

Smart tourism is known as a comprehensive approach that provides tourism information, travel related services such as destination, food, transportation, reservation, travel guide to tourists easily through information technology. The purpose of this study is to investigate the status of smart tourism in Chabahar city. This research has been done in terms of the purpose of the application type and using the descriptive-analytical method. The data of this research was obtained by two documentary and field methods and a researcher-made questionnaire was used. The statistical population of the research includes 106,739 citizens of Chabahar city and the sample size was determined using the Cochran formula equal to 325 people from the statistical population of this research. The questionnaire was analyzed with the help of SPSS software. The findings showed that, in total, the state of smart tourism in Chabahar city in terms of technical index with an average of 3.129, economic index with an average of 3.187, operational index with an average of 3.093 and scheduling index with an average of 3.171 and the legal index has been evaluated favorably with an average of 108.3. Fuzzy Hierarchy Analysis (FAHP) technique has been used in order to prioritize factors affecting smart tourism in Chabahar city. The obtained results showed that the operational dimension with a weight value of 0.328 has assigned the most important factors affecting smart tourism in Chabahar city. Also, the economic dimension with a weight of 0.237 in the second priority, the legal dimension with a weight of 0.196 in the third priority, the technical dimension with a weight of 0.157 in the fourth priority and the scheduling dimension with a weight of 0.082 in the fifth priority is placed.

A B S T R A C TGiven the significant role of technology in tourism, addressing amortization is crucial for the growth and development of this sector. As the tourism industry is the primary factor influencing the economy of Qom province, the present study assesses villagers' perceptions regarding the components of smart tourism in 12 tourist destination villages within the province. This research employs a descriptive-analytical methodology based on a questionnaire and statistical analysis. The dimensions for measuring the "smartness" of a geographical area are evaluated using the Cohen model, which includes six distinct dimensions. The unit of analysis consists of rural households residing in the tourist destination villages of Qom province. The sample size was determined to be 222 households using the Cochran formula, and the reliability of the research tool was confirmed with a Cronbach's alpha coefficient of 0.76. The results indicate that, according to the villagers' perceptions, the tourism target villages in Qom province currently rank at a weak and undesirable level regarding smart village components. On a Likert scale, the average scores for the various components are as follows: smart economy (1.7), smart people (2.2), smart environment (1.8), smart governance (2.3), smart life (1.9), and smart mobility (2.2). Overall, the average evaluation of smart development in the rural tourism destinations of Qom province is 2.07, which is lower than the theoretical median. Consequently, the tourism destination villages in Qom province have made significant progress in achieving true "smartness." Since a prerequisite for advancing rural tourism destinations is access to smart tools, particularly information and communication technology (ICT), it is essential to take effective measures to ensure access to these tools before implementing any further actions.

The definition and explanation of the theoretical framework for developing the smart model of rural tourism requires benefiting from the studies conducted in this field and other related topics, the review of previous research shows the weakness of existing frameworks in explaining the model of smart tourism in rural areas. This research aims to develop a comprehensive framework for implementing the smart tourism model in rural areas with a systematic review approach. The current research is fundamental in terms of its purpose, and with the systematic review of the literature related to the components of rural smartening and smart tourism between 2000 and 2023, using 3 specific keywords and a clear and pre-designed strategy, from 5 databases. Collected After screening and qualitative assessment, the final analysis was done on 59 articles. By analyzing the articles, four processes and 42 components were identified for developing the theoretical framework of the smart tourism model. The study shows that creating a theoretical framework for the implementation of the smart tourism model requires knowing the prerequisites and requirements before implementation, identifying the key elements and organizations involved in the field of smart tourism, paying attention to the territorial resources of the destinations and the strategies for choosing the target destinations, and finally the process of implementing the smart tourism model. It will contribute to the sustainability of resources and the realization of purposeful and sustainable tourism.

Smart tourism utilizes communication and information technologies to enhance the visitor experience at tourist destinations. Integration of smart tourism concepts is particularly important in rural areas. By leveraging smart technologies, villages can promote their businesses and improve their tourism infrastructure. The aim of this study was to examine and analyze the factors influencing the development of smart tourism in tourism-oriented villages in eastern Kermanshah Province.

This study employed a descriptive-analytical research design. Data were collected through a combination of methods, including a documentary review of library resources and scientific journals, as well as field surveys using questionnaires. The information required for the study of smart rural tourism and its indicators was gathered based on the background literature and regional context. Out of a total of 1,191 rural households, a sample of 215 respondents was selected using Cochran’s formula with a 0.065% margin of error. The one-sample t-test was used to measure the level of smart rural tourism according to the type of data, drawing from Pearson correlation tests. To analyze the impacts of the examined factors on smart rural tourism, the CRITIC weighting and COCOSO ranking methods were used based on the type of data. Additionally, factor analysis was conducted to further explore the impacts of the factors on smart rural tourism. For the statistical analyses, JAMOVI software was utilized, while GIS software was employed for spatial analysis.

The results indicated that the concept of smart rural tourism was characterized by a set of indicators related to smart economy, smart governance, smart infrastructure, smart people, smart connectivity, and smart education. The one-sample t-test revealed that among the indicators of smart rural tourism, the indices of smart governance, smart people, smart economy, and smart education were the most important factors in the studied villages. Specifically, the mean scores for smart governance and smart people were 3.95, while the mean scores for smart economy and smart education were 3.90, suggesting these were the most influential components of smart rural tourism in the research context. 

Smart tourism can be considered as one of the mechanisms that can contribute to the enhancement of competition and the sustainable development of tourism. The objective of this study was to identify and prioritize the criteria that are crucial for the growth of sustainable smart tourism in Tehran.

In order to achieve the goal, a survey was conducted in Tehran between 2023 and 2024, employing both quantitative and qualitative research methods. The research tool used in this study was a questionnaire. To determine the most influential factors in the model for the growth of sustainable smart tourism in Tehran, an initial questionnaire was developed. This questionnaire consisted of 42 questions, which were rated on a 4-point Likert scale and distributed to 50 experts. After collecting the experts' opinions in two consecutive phases, a final questionnaire consisting of 39 questions was approved. For data analysis, the Fuzzy Delphi and fuzzy network analysis methods were utilized.

Based on the screening of indicators using the Delphi approach, 43 indicators in the areas of social, economic, sustainability, suppliers and stakeholders, competitors, natural, technical, and infrastructural were identified as effective factors in promoting smart tourism at the city level in Tehran. According to the results of network analysis, the goal harmonization index of economic, social, political, and environmental objectives had the first priority, and smart experiences had the second priority compared to other factors. Other factors also showed their importance in the development of smart and sustainable tourism based on the obtained coefficients.

The impact of various indicators under social, environmental, technical, infrastructural, and especially economic factors on the development of smart tourism was indicated. In between, indicators related to policymakers and stakeholders have a higher priority compared to other categories.

Smart tourism is a new applied term that describes the increasing dependence of tourism destinations, industries and different forms of tourists on new forms of information and communication technology that transform massive amounts of data into valuable propositions. Despite the growing importance of smart tourism, as one of the most basic sources of income for societies, not so many studies (especially inside the country) have been conducted in this regard. Therefore, the purpose of this research was document analysis of authentic domestic articles about smart tourism in an analytical way. The current research is descriptive-analytical and its method is analysis. The statistical population of this research includes all scientific-research articles that have been published in scientific-research publications approved by the Ministry of Science, Research and Technology in the country, and due to the small number of them (12 cases), the full enumeration method was used. The results of the analysis show that from 2016 to now (2021) there are only 12 scientific research articles in the country, which indicates the lack of attention to research on smart tourism in Iran. Also, the results show that in terms of geographical distribution, Isfahan city is in the first place and the field of management, especially Market management, has played the most important role in the field of smart tourism in Iran. Also the superiority of the combined method over positivism or positivism is quite evident. Another finding of the research is that the method of collecting most the printed articles was documentary and combined (questionnaire and interview). Also the data analysis in most of the articles has been using the typical T-Tech test, structural equation model and composite model, and regarding the widely used software in the field of domestic smart tourism articles, we can mention SPSS software along with Smart PLS.

Blockchain technology is considered one of the top 30 technologies of the current decade and the future of humanity. At the same time, if this technology is combined with human and environment-oriented creativity and innovation, it can help sustainable urban development, especially tourism. This article is based on the existing gap in the lack of a comprehensive plan in the field of using blockchain technology in the sustainable urban tourism industry of Iran to a framework of the applications of this technology in the field of sustainable development policy, operational (business), and research. and provide infrastructure. Then, in each area, the most important influential indicators of blockchain technology in the direction of sustainable urban tourism have been identified. In total, blockchain has the greatest impact on preserving the cultural and social values of local communities among all indicators. Reducing the possibility of wrong booking, strengthening the power of tourism areas, quickly locating data problems that may occur between customers, agents, and hotels and sending messages to each party, and overcoming urban challenges such as the scattered growth of cities, environmental degradation, traffic congestion and direct communication between buyer and seller of services are in the next ranks of influence.

In our country, smart tourism has not been paid as much attention as it should be, there is no practical model for it, effective studies have not been conducted on it, and the social media factor has not been taken into account in it. The purpose of this research is to explain the smart tourism model considering the factor of social media. The applied research method in this study is the grounded theory (Strauss and Corbin). For this purpose, through the purposive sampling of the obvious cases selection, the data of 25 participants, including individuals working in governmental and non-governmental organizations and institutions in Hamedan, was collected and analyzed through semi-structured interviews, and then the smart tourism model was designed considering the social media factor. Findings of this research show that the correct use of smart tourism considering the social media factor can lead to the development of the country in the shadow of the development engine (tourism), create sustainable employment, boost small and local businesses, develop the international tourism, and increase the income of tourism institutions.

Coastal destinations, as one of the destinations that often face the phenomenon of overtourism , need integrated and dynamic management and planning to maintain and develop it. The current research has been conducted with the aim of investigating the dimensions and components of overtourism with the approach of smart tourism in order to achieve a management model for tourist destinations. This research is developmental-applied and in terms of methodology, it is in the category of mixed qualitative and quantitative research. In order to collect qualitative data, two interview tools and a questionnaire were used. In the qualitative part, 21 people and in the quantitative part 271 people from the managers and officials of the organizations in charge of tourism, tourism practitioners and activists, university faculty members (in charge of the subject) have participated in the research.. In this regard, the findings The results of the interview were analyzed using thematic analysis method with the help of MAXQDA20 software, and finally 193 open codes, 18 central codes and 3 selective codes were extracted. The results show that overtourism management includes three dimensions: supply, demand and structural/management, each of which has 6 indicators. Also, in the quantitative part, using the importance-performance matrix, the most important areas for improving management activities were identified. In terms of total effects, the management/structural dimension(0.57) is the most important and tourism demand(64.61) has the highest performance. According to the findings, in order to manage overtourism, the administrative and structural factors and the structures of the government and smart governance(0.25) the environmental and psychological tolerance capacity of the natives,(0.34) and the seasonality of tourism(0.39) under the three dimensions, are in priority to improve the performance.More about this source text Source text required for additional translation informationSend feedbackSide panels

Tourism is one of the economic sectors that is affected by the changes in the global system and the technology of the new age has played an important role in its development. Considering the importance of technology in tourism, paying attention to the smart approach is one of the most important topics that can help the growth and development of tourism. Based on this, creating the necessary platforms for the smartening of tourism in rural areas requires knowing and analyzing the factors and obstacles. The purpose of this research is to analyze the smart tourism platform in the target villages of tourism and the upcoming obstacles on a case-by-case basis in Paveh county. The research method is descriptive-analytical and based on survey studies using questionnaire tools. The statistical population of the research is made up of the residents of three tourist villages including Shamshir, Hajij and Khanqah. Their population is equal to 3848 people and based on Cochran's formula, the sample size was calculated as 349 people. The validity of the questionnaire was confirmed through the elite society and the reliability was also confirmed through Cronbach's alpha with a coefficient of 0.82. The result showed that the social, economic and infrastructural factors that form the basis of smart rural tourism are significant at a level of less than 0.05 and the significance direction analysis indicates that their situation is inappropriate in the target villages of tourism. The analysis of the factors at the level of three villages of Shamshir, Khanqah and Hajij with the ANOVA test also confirms that no significant difference was observed between the villages and all three villages have the same situation in terms of smart tourism indicators. According to these conditions,

The purpose of this study is to exploit bibliometric and visualization methods to investigate the social and conceptual structures of a smart researches. Accordingly, 771 research bibliometric record between 2004- 2021 have been retrieved from web of science database to be analyzed and Visualized. Descriptive data indicate the incredible increase in number of articles since 2017, hitting the record in 2020 with 201 articles. Citations maximized in 2021 with 4377 citations. Moreover, the highly cited articles, journals, authors, universities and countries were all identified. Two visualization analyses were conducted using VOS viewer software: Co-authorship analysis and Keywords co-occurrence analysis. Co-authorship findings present that China has the highest collaboration with other countries. Also keywords co-occurrence analysis showed the most used keywords in this field and consequently the research streams. As a result, smart tourism, smart City, smart tourism destination and smart tourism technologies such as internet of things and big data are among the most applied keywords in recent years. In addition, it can be understood that based on new perspective in a smart tourism, the role of all stakeholders to integrate resources and co-create is recognized, specifically tourists and smart ecosystem is being addressed.

The purpose of this study is to identify the factors affecting the smart tourism of the sports industry with a combination technique of a variety of meta-study methods. In the present study, by using a systematic and superior qualitative review approach, it analyzes the results and findings of previous researchers and by performing weekly steps of Sandloski and Barroso method, the conceptual model of factors affecting smart tourism in the sports industry is categorized. Based on three-step coding, these factors were analyzed and categorized into 8 main categories and 90 core codes. CAPA method was used to assess the reliability and quality control of the present study. The calculated CAPA coefficient is 0.660, which is at the level of a valid agreement. The results showed that the factors affecting smart tourism in the sports industry include; Intelligent tourism information services, smart tourism cloud services, the Internet of Things, intelligent tourism information retrieval, end-user Internet services, intelligent search, content marketing, and artificial intelligence were available. The use of digital tools will bring countless benefits to businesses and sports tourism industry activists. Among them is the development of tourism to reduce reliance on oil and exit the mono-productive economy.

In any cases, in many countries, the tourism industry is considered as a high-income industry and it is considered as one of the main sources of foreign exchange earnings. Due to the role and importance of the tourism industry in various aspects, including foreign exchange earnings and income source for the state, it can be the source of Employment creation. In today's world, we can say almost everything we see is smart. The tourism industry need is also no exception to intelligent manufacturing. Nevertheless, the research on smart tourism in Iran has been very limited. So the existence of intelligent tourism is necessary for the provision of services with higher quality and speed. The purpose of this study is to investigate the feasibility of intelligent tourism as one of the most important challenges facing Mashhad's tourism destination, Mashhad tourism business ecosystems and tourists' experiences, and avoid the realization of tourism. Research is considered as the result of applied research and subsequently, in terms of the type of research purpose, is descriptive and in terms of qualitative data type. The data collection tool is a questionnaire and is used for analysis of SPSS software. Data were analyzed by variance analysis. As a result, research hypotheses confirming the existence of intelligent tourism infrastructure in Mashhad city were confirmed. At the end, there are suggestions for the development and implementation of smart tourism and suggestions for continuing research in this area.