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Copyright of BES Journal: International Journal of Business & Economic Studies is the property of BES Journal - International Journal of Business & Economic Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The tourism industry, in its modern form, emerged in Iran for the first time during the Pahlavi era. Initially, in 1935, an office titled "Office for Foreign Travelers and Publicity" was established, and its activities were limited to publishing tourism brochures and guidebooks. The growth and development of this industry were realized through the establishment of the "Tourism Attraction Organization" in 1966 and the formation of the "Ministry of Information and Tourism" in 1974. One of the destinations that has always been attractive and of interest to tourists is the southern ports and islands of Iran. These places, with their various historical, environmental, and cultural attractions, have always drawn tourists to them. Among these regions, Kish Island, with features such as favorable weather, beautiful nature, historical sites, and rare plant and animal species, became one of the islands receiving special attention for tourism development in southern Iran during the Second Pahlavi period. In the present research, based on sources such as memoirs of Pahlavi officials and available documents, and using a descriptive-analytical method, an attempt has been made to answer the question of how the tourism industry grew and developed in the Iranian ports and islands of the Persian Gulf during the Second Pahlavi era, particularly Kish Island, which became an international tourist island during this period. [ABSTRACT FROM AUTHOR]

Copyright of Tourism & Rural Development Studies / Turisztikai és Vidékfejlesztési Tanulmányok is the property of CampInvest Kft. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The digital economy, the tourism industry, and ecological protection are closely related, which holds paramount significance for regional sustainable development. Based on panel data from 2011 to 2021 in the Yellow River Basin, the study scrutinizes the spatial and temporal variances and driving factors of the three-system coupling coordination degree. The results indicate that: (1) The development level of the three systems is significantly different. The coupling coordination degree shifts from imminent imbalance to marginal coordination, but there is a noticeable expansion in spatial disparities. (2) The coupling coordination degree of non-resource cities significantly surpasses that of resource cities, and regenerative cities outperform growing, mature, and declining cities. The overall pattern of the provincial capital cities "center-periphery", decreased the coordination characteristics. The spatial correlation of coupling coordination degree presents two aggregation patterns of "high-high" and "low-low", and the overall correlation gradually weakens. (3) The driving factors reveal that the economic driving force is the largest, followed by the internal driving force, and the government regulatory force and scientific and technological driving force are relatively weak. Consequently, this paper proposes to strengthen the integration and penetration function of the digital economy and have it play the linkage role between regions. This lays down a solid foundation for crafting scientifically informed policies aimed at achieving regional sustainable development. [ABSTRACT FROM AUTHOR]

The cultural tourism industry contributes to the growth of both cultural and tourism industries. Cultural Tourism Resource (CTR) is the prerequisite for the integrated development of the cultural tourism industry. Developing potential CTR can promote the new transformation and upgrading of the urban cultural tourism industry. Luoyang has the advantages of location and resources in the development of CTR, but its tourism industry develops slowly. Therefore, Luoyang City was taken as the research object and the relevant evaluation index system was established. The entropy method and grey correlation model were used to analyze the development trend and influencing factors of the city's CTR. The entropy values of the eight indicators of the evaluation system of CTR established in the study were all above 0.96, indicating that the evaluation system was relatively stable. The grey correlation degree of CTR of historical culture and folk customs was high, which was 0.668 and 0.642, respectively. The grey correlation degree of religious culture and calligraphy and painting CTR was low, which was 0.625 and 0.617, respectively. The CTR of historical culture and folk customs have developed well, but the resources of religious culture, calligraphy, and painting need to be improved. The knowledge of cultural tourism location theory and regional economic growth theory are applied. According to the evaluation results and problems of the development of CTR in Luoyang, this paper puts forward targeted strategies for CTR. [ABSTRACT FROM AUTHOR]

This study qualitatively and quantitatively analyzes the effect of the digital economy on tourism innovation in China. It discusses the concept of tourism innovation and constructs a variable to measure it. Then, it empirically tests the impact of digital economy on tourism innovation. Econometric results demonstrate that the digital economy has a consistent and significant impact on tourism innovation, highlighting its role in shaping tourism dynamics. It conducts further tests across different stages and addresses endogeneity concerns. Finally, it presents several policy suggestions. [ABSTRACT FROM AUTHOR]

Copyright of Public Administration & Civil Service / Memlekettìk Basķaru Ža̋ne Memlekettìk Ķyzmet is the property of Academy of Public Administration under the President of the Republic of Kazakhstan / Akademiya Gosun and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: The digital era has brought significant changes to the tourism industry. This study examines the influence of digital marketing campaigns on regional tourism in the state of Rajasthan, India. Using a descriptive research methodology, the study aims to assess whether digital marketing is an appropriate tool for promoting Rajasthan's regional tourism offerings. Methodology: The researchers conducted a primary survey and statistical analysis to test their hypotheses. This is a quantitative research study aimed at assessing the influence of digital marketing on promotion of regional tourism in Rajasthan. Main Findings: The key findings suggest that gender does not significantly impact tourist satisfaction with the information available on digital marketing platforms about regional tourism. However, the data also indicates that digital marketing campaigns may not be the most effective approach for promoting regional tourism in Rajasthan. Implications: The researchers recommend that the government should make greater efforts to identify the most appropriate digital marketing tools for showcasing Rajasthan's rich heritage, culture, historical sites, and other attractions. Novelty: The study provides valuable insights into the role of online and social media marketing in the tourism industry. It highlights the need for destinations to carefully evaluate which digital channels and campaigns will be most impactful for promoting their unique regional tourism offerings. [ABSTRACT FROM AUTHOR]

Copyright of Resources Development & Market is the property of Sichuan Resource Development & Market Magazine Co., Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nature-inspired optimization models have received a great deal of interest due to the performance of these algorithms in solving resourceful and authentic problems. However, achieving high predictive accuracy in machine learning models for specialized domains, such as the tourism industry, remains challenging. Predictive modelling in tourism is vital for improving decision-making, including forecasting visitor behaviours and enhancing customer experiences. As the volume and complexity of tourism data increase, there is a need for optimization methods that enhance model training while effectively handling intricate datasets. This study proposes a hybrid FOX-TSA algorithm to optimize the MLP model. The hybrid algorithm synergises the Fox Optimization Algorithm's exploration capabilities with the Tree-Seed Algorithm's exploitation strengths. Using a tourism dataset with user preferences and ratings, the performance of the anticipated algorithm is compared with standalone FOX, TSA, PSO, and GWO algorithms. Results indicate that the hybrid FOX-TSA achieves superior predictive accuracy (94.64 %), faster convergence speed (reducing iterations by 25 %), and improved F1-score (94.63 %) on the test dataset. These findings underline the potential of the hybrid FOX-TSA algorithm to advance predictive modelling in the tourism sector and other domains requiring complex data handling.

Recommender systems -RS- have experienced exponential growth in various fields, especially in the tourism sector, improving tourism activities’ accuracy, personalization, and experience, thus strengthening indicators such as promotion. However, some challenges and opportunities exist to overcome, such as the lack of data on emerging destinations wishing to adopt these solutions. This manuscript presents a literature review of the current trends in RS applied to the tourism industry, including categories associated with their use and emerging techniques. Likewise, it presents a pathway for implementing an RS when insufficient data are available for a destination. The SLR followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and used the WoS, Science Direct, and Scopus databases. The results show that the hybrid RS integrates deep learning algorithms, data analytics, and optimisation techniques with collaborative tourism features to provide innovative solutions in terms of performance, accuracy, and personalisation of recommendations, thus achieving the management of tourist destinations or tourism-oriented services. Emerging destinations that lack RS data in tourism should use various data sources generated by tourists on social media, tourism portals, and through their interaction with tour operators. New tourism recommender system solutions can emerge following trends integrating new technologies based on user experience, collaboration, and the integration of multiple data sources.

Many sectors, particularly traveling, have been profoundly affected by the fast development of big data technologies. This article provides a detailed examination of the development and execution of a Tourism Management Information System (TMIS) that utilizes big data analytics to improve operational effectiveness, gain insights into tourist behavior, and encourage sustainable tourism practices. The system combines data from several sources, including booking systems, social media platforms, and tracking devices, and addresses issues related to data privacy, quality, and integration. The TMIS utilizes statistical information to provide tailored tourist experiences, enhance resource allocation, and aid in long-term planning. The study emphasizes the significance of strong data management, which involves assuring the precision of data and its immediate significance. Additionally, this article examines the potential of big data in promoting a strong and creative tourism industry. It highlights the importance of future studies in exploring sustainable uses of big data and the incorporation of novel technologies, such as artificial intelligence, to improve personalized experiences. The present research highlights the significant and positive influence of big data on the management of tourism. It offers a structured approach for implementing big data in practice and sets the stage for long-term and sustainable growth in the tourism sector.

The tourism industry has become increasingly information-driven where tourists need reliable information to make their travel decisions. Social media content creators have emerged as prominent figures in disseminating authentic and credible information about tourist destinations worldwide. However, scant attention has been paid to explore the role of social media content in influencing tourist inflows and tourist engagement with tourism-related content on social media. To fill this gap, the present study utilized three social media analytic tools: VidIQ, Tubebuddy, and Social Blade, to collect data pertaining to tourism-related content across six tourist destinations in the Arabian Gulf region. The results indicate that these six tourist destinations collectively attracted 47 million visitors in a single year while garnering 158 million views on YouTube. Our findings indicate that tourists’ consumption of tourism-related content on YouTube directly relates to the number of tourists visiting a destination. In addition, the present study also finds that destination popularity leads to higher number of video views on YouTube as well as higher numbers of tourists to the destination. Furthermore, the current study delineates the role of content creator characteristics in influencing user engagement with tourism-related content. The present study offers valuable insights for destination management organizations, tourism operators, tourism industry stakeholders, content creators, social media marketing managers and destination brand managers.

Copyright of Journal of Hubei Open Vocational College is the property of Journal of Hubei Open Vocational College Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)