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Stakeholder‐led coral reef restoration efforts, aimed at locally retaining or rebuilding coral populations, have rapidly grown over the last two decades. However, the cost‐effectiveness—and in turn viability—of coral restoration projects remains rarely reported. We therefore evaluated coral planting (often termed "outplanting") cost‐effectiveness across the first 3.5 years of the Coral Nurture Program (CNP), a coral restoration approach integrated within tourism operations on Australia's Great Barrier Reef. CNP operator activity reporting forms (63,632 corals planted, 5 tourism operators, and 23 reef sites) were used to opportunistically calculate coral planting costs (PC; US$ coral−1 trip−1) for "routine" planting versus when additional stewardship activities—that regulate planting effectiveness—were undertaken (e.g., nursery maintenance). Mean PC (±standard error) was US$2.34 ± 0.20 coral−1 trip−1 (ranging US$0.78–6.03, 5th–95th percentile), but increased 2‐ to ‐6‐fold on trips where nursery propagation, site maintenance, or staff training was conducted to support planting efforts. The "realized" cost (PCR) of establishing coral biomass was subsequently determined by evaluating survivorship of planted corals across space (9 sites, single survey timepoint, n = 4,723 corals up to 3 years old) or over time (2 sites, over 9–12 months, n = 600 corals), resulting in costs increasing from PC to PCR by 25–71%. We demonstrate how integration of practices into tourism operations creates potential for cost‐effective coral planting at "high‐value" tourism reef sites, and discuss important steps for improving cost‐accounting in stakeholder‐led restoration programs that may be similarly positioned to routinely determine their cost‐effectiveness. [ABSTRACT FROM AUTHOR]

In 2022, Thailand became the first country in Asia to decriminalize the possession of cannabis. Despite the government's unwillingness to legalize recreational cannabis or promote cannabis tourism, a recreational cannabis industry fueled by tourism quickly emerged on a large scale in just a few months after decriminalization. Through the tourism worldmaking theory, the article seeks to show how cannabis tourism has taken shape in a semi-legal context following the decriminalization of cannabis in Thailand. Through a qualitative methodology combining document analysis, semi-structured interviews, and active participant observation, it is shown that following legislative changes, a recreational tourism industry has rapidly developed alongside the medical cannabis industry in which an array of cannabis products and services for tourists have emerged in the country's major tourist destinations, transforming the tourism landscape of these places. Cannabis tourism has grown rapidly despite legal restrictions and government rhetoric aimed at preventing recreational cannabis tourism. The article aims to show that after opening Pandora's box through the decriminalization of cannabis, cannabis tourism has developed on its own where many market-driven actors capitalized on this new economic opportunity following years of loss of income due to the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

There is a consensus that the global tourism system needs to undergo decarbonization and achieve net-zero emissions by mid-century. However, given the anticipated growth in the most energy-intensive subsector of tourism, air transport, achieving this goal seems unlikely. This paper focuses on the role of distance in the global geography of tourism, against evidence that National Marketing Organizations (NTOs) often seek to attract visitors from all over the world. The analysis of data for a sample of 12 NTOs in Europe, the USA and Canada reveals that the number of markets targeted varies between six and 33, with significant differences in the average distance to markets (<4,000 to 8,000 km), as well as emissions per arrival by market (0.2 t CO2 to 2.5 t CO2). For the countries studied, the 17% of the most distant arrivals cause 62% of the emissions. Results also show that more distant markets are more sensitive to disruptions such as COVID-19. These findings have relevance for destination marketing that point to new climate change related roles for NTOs such as rebranding, demarketing, market segmentation, and communication. [ABSTRACT FROM AUTHOR]

The medical tourism industry, seriously affected by the coronavirus disease of 2019 (COVID-19), must effectively communicate its online promotional messages to boost the sector. Given that the medical tourism sector is a global one, cultural diversity is also essential. Studies on cultural heterogeneity, however, have only looked at one type of discourse, primarily the linguistic mode. Previous research failed to consider the multimodal approach, which could have hindered anticipated promotional messages from reaching potential foreign medical tourists. This study examines how 12 hospital web pages from Malaysia and Singapore combine several modes to provide marketing messages to foreign medical tourists. From a Systemic Functional Linguistic (SFL) standpoint, linguistic analysis was conducted using Halliday and Matthiessen’s (2004) model of metafunction theory, while visual analysis was conducted using Kress and van Leeuwen’s (2006) framework. The multimodal data were further analyzed using Hall’s cultural dimension of context-dependency, which classifies cultures into high-context and low-context cultures. The selected Malaysian and Singaporean hospital web pages primarily exhibit characteristics commonly found in low-context cultures, including detailed code systems, clear and explicit messages, highly structured content, information focus, and linear organization. These findings were inconsistent with the existing intercultural communication literature, which typically associates Asian countries with high-context cultures. The study’s contribution in the form of a multimodal communicative framework aims to help stakeholders and copywriters in medical tourism understand potential cultural sensitivity and communicative strategies while designing successful medical tourism websites for international promotion. It is crucial for medical tourism websites to effectively deliver promotional messages to prospective medical tourists during this COVID-19 recovery phase as it can be one of the ways to establish trust and reliance. [ABSTRACT FROM AUTHOR]

Tourism is one of the emerging branches of the economy, playing an important role in the development of specific economies within local communities. In this context, the perspectives of exploiting historical monuments, seen as raw material in the tourism industry, represent a desirable goal worth considering at the locality and territorial administrative unit level. The purpose of this study is to highlight the relationship between historical monuments, viewed as factors generating tourist motivation and tourism. This was made possible by conducting a spatial analysis (at the level of territorial administrative units and localities) of the defining criteria for historical monuments and tourism in Bihor County, Romania. The research methodology involved the use of multicriteria analysis to identify and establish the types of relationships between historical monuments and tourism, at a spatial level. The results of the study aimed to present an image of the spatial distribution of the characteristics of historical monuments and tourism, as well as to establish and depict spatial relationships between them, thus partially confirming the working hypothesis that the number and importance of historical monuments influence and determine tourist activity within a given area. Thus, although the studied area has 455 historical monuments, they are not exploited from a tourist point of view, with there being no strong relationships, except at the level of 19 territorial administrative units (18.8%), respectively, in 15 localities (3.3%). Among them, the obtained values stand out for the territorial administrative units of Oradea and Biharia, respectively, in the localities of Oradea and Beiuș. [ABSTRACT FROM AUTHOR]

The study aimed to explore the relationship and interaction between humans and nature in specific areas. Latent Dirichlet allocation topic recognition and SnowNLP sentiment analysis were used to extract the topics and analyze the sentiments from visitors' online reviews of Wuyishan National Park. The conclusions were as follows: (1) The tourists mainly expressed positive emotions toward Wuyishan National Park, and the tourists acknowledged its ecological environment and natural and cultural heritage value. (2) The tourists' comments focused on four themes: tourism activities and facilities, natural and cultural heritage value, characteristic tourism products, and tourism management and services. Natural experience was the main tourism activity in Wuyishan National Park, while cultural activities were related to the tea culture. (3) The tourist facilities, ticket and reservation mechanism, and management and services of Wuyishan National Park were the main concerns of the tourists. The study suggested that Wuyishan National Park could be transformed from a tourist destination into a comprehensive national park that provides recreational experiences and environmental education. This should be conducted by (1) developing detailed natural and cultural education and experience products and (2) improving public service functions and enhancing the public welfare of the national park. [ABSTRACT FROM AUTHOR]

The aim of this research is to review the dynamics of organizational culture in tourism service companies in the city of Surakarta and also explain the shift in direction of existing organizational culture. In conducting this research, the Organizational Culture Assessment Instrument (OCAI) was used to assess the condition of the actual company culture and the preferred culture that the company desires to have. It also measures the six dimensions of OCAI and assesses the cultural characteristics of the three samples of tourism service companies in the city of Surakarta. The results of this research show that currently the cultural profile of the three tourism service companies in Solo tends towards a fairly large clan culture pattern and secondly this is followed by a hierarchical culture which also dominates. Meanwhile, the culture that is expected in the next 5 years has shown that the cultural tendencies of hierarchy, adocracy and also the market, considering that in these three patterns of cultural tendencies, considering that the relationship is quite intense and sustainable in accordance with the hierarchical rank levels in each company, will provide greater benefits. intense and certainty in the future of the company regardless of the clan in the three tourism service companies and also some hopes to be increasingly able to compete innovatively by utilizing existing information technology and providing new services to consumers in accordance with what is in the culture adocracy and also culture in the market which is projected for the next 5 years along with a hierarchical culture. [ABSTRACT FROM AUTHOR]

Copyright of Dilemas Contemporáneos: Educación, Política y Valores is the property of Dilemas Contemporaneos: Educacion, Politica y Valores 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 Dilemas Contemporáneos: Educación, Política y Valores is the property of Dilemas Contemporaneos: Educacion, Politica y Valores 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.)

This study investigats the relationships among positive emotions, perceived threats, protection motivation, coronavirus disease 2019 (COVID-19) vaccination intentions, quarantine-free travel intentions and COVID-19 protective behaviors in the context of quarantine-free travel. Data were collected from Singaporean tourists in Batam and Bintan of Indonesia using travel bubbles. A total of 387 respondents completed the questionnaires. The findings can help tourism managers create and implement market-driven service initiatives to increase positive emotions, protection motivation, and intentions to take quarantine-free travel and decrease perceived threats in order to enable tourists to have accurate COVID-19 protective behaviors. [ABSTRACT FROM AUTHOR]

This study investigates the positive coupling between the sports industry and tourism, exploring the ways to promote their interconnection. Under state guidance, the integration of sports industry services is facilitated to attract sports culture and tourism fairs, leveraging regional economic development advantages to enhance the industrial market appeal. The emerging leisure consumption mode of sports tourism injects vitality into the economy, fostering the core sports service industry. The coupling of the education and tourism sectors is strategically aligned with long-term national policies. Using IoT technology, this paper employs a grey relational analysis to assess the coupling between the sports industry and tourism, revealing a significant correlation. Experimental results demonstrate a positive coupling trend, likened to conjoined twins with a natural material basis and technical support. This coupling not only aligns with industry trends but also resonates with the "environmental protection era," "green era," and "ecological era," marking a pivotal aspect of industrial development. The study contributes valuable insights into the symbiotic relationship between the sports and tourism industries, emphasizing their interconnectedness and the positive implications for economic and environmental sustainability. [ABSTRACT FROM AUTHOR]

E-tourism has become a key component in the tourism industry and allows travelers to easily access information about destinations and services via the Internet, facilitating their travel planning process. Through e-tourism, travelers can research destinations, plan trips, book accommodations, purchase transportation tickets, and explore tourist attractions through online resources. Also, this area helps tourism businesses to effectively promote their services, communicate with clients and manage reservations. E-tourism represents the integration of information and communication technologies in the tourism sector. This concept encompasses the application of digital technologies such as the Internet, mobile applications, online reservation systems, web platforms and social media to improve aspects of travel and tourism. The legal foundation of educational procedures utilizing artificial intelligence algorithms in e-tourism holds significant importance because of the multitude of potential legal complexities and obstacles that could emerge. The Republic of Serbia, like many other countries, is working on improving its regulations in order to enable the development of e-tourism and at the same time ensure the protection of the interests and safety of travelers. [ABSTRACT FROM AUTHOR]

In order to construct an evaluation index system suitable for tourism management classroom teaching, this article evaluates the teaching effectiveness of teachers and improves the teaching quality of tourism management courses. This article is based on developmental evaluation theory, using Analytic Hierarchy Process, Project Response Theory, and CIPP model to construct an indicator system suitable for tourism management classroom teaching. Then, based on the collected data of 5763 students, the reliability and effectiveness of the tool and indicator system were first verified. Then, the variable of teacher teaching style was introduced to construct an OLS regression model for empirical research. The research will summarize teacher and student data collected through the platform and conduct reliability analysis in SPSS 22.0 software, using Cronbach α The credibility of coefficient testing and evaluation tools. Cronbach in Environmental Fundamentals α The cβoefficient value is 0.8350. Cronbach for resource allocation α The coefficient is 0.735, and the Cronbah of the implementation process α Cronb Bach with a coefficient of 0.7 47 for teaching performance α The coefficient is 0.7240, indicating that rat ings has high reliability. Research has found that among the four specific types, the holistic type has the greatest impact on the specific situation, the holistic type has the greatest impact on the environmental foundation and resource allocation, and the legislative type has the greatest impact on the implementation process and teaching performance. [ABSTRACT FROM AUTHOR]

This paper reviews influencer marketing (IM)-research in the tourism and hospitality (H&T) field to provide a state-of-the-art of the past, present, and future of IM-research. It identifies research themes, theoretical underpinnings, and methodologies utilized in IM-research. Seventy-five studies are examined through co-citation, bibliographic coupling and content analysis based on the TCCM (theory/context/characteristics/methodology) framework. Co-citation analysis reveals that IM-research focused on travel blogs, vlogs, celebrity endorsement, influencer authenticity. An assessment of recent studies through bibliographic coupling indicates a partial shift toward the study of more contemporary issues. This field-discipline-focused hybrid-review contributes to literature and practice by presenting the past, present, and future of IM-research. [ABSTRACT FROM AUTHOR]

Tourist flows, crucial information within online travelogues, reveal the interactive relationships between different tourist destinations and serve as the nerve center and link of the tourism system. This study takes Hangzhou, China, as a case to investigate the spatial network structure of its tourist flows. Firstly, a BERT-BiLSTM-CRF model and pan-attraction database are built to extract tourist attractions from online travelogues and create the tourist flow matrix. Then, this study uses social network analysis (SNA) to examine the structure of the tourist flow network from a county-level perspective. Additionally, GIS spatial analysis methods are applied to analyze the evolution of the tourist gravity center and standard deviation ellipse (SDE) of the network. The results reveal that the identification performances of the tourist flow extraction model this study proposed are significantly better than those of previous mainstream models, with an F1 value of 0.8752. Furthermore, the tourist flow network in Hangzhou displays a relatively sparse and unbalanced distribution, forming a "Core–Semi-Periphery–Periphery" structure. Lastly, from 2020 to 2022, the network's gravity center experienced a shift towards the southwest, paralleled by an initial expansion and subsequent contraction of the SDE in the same southwest direction. These findings provide valuable insights into the spatial network structure of tourism in Hangzhou and can serve as a reference for policymakers to promote the "all-for-one" tourism. [ABSTRACT FROM AUTHOR]

This research endeavours to explore the intricate dynamics of microeconomic factors that significantly influence the evolution of the sharing economy within the vibrant landscape of Lithuania's tourism sector. By harnessing an extensive dataset comprising diverse tourism metrics and online platform activities, advanced regression analysis techniques are employed to uncover the intricate interplay between tourism employment and key determinants such as tourism output, accommodation infrastructure, internet accessibility, and other pertinent variables. The empirical insights gleaned from this analysis reveal compelling correlations, shedding light on the pivotal role played by these factors in shaping the burgeoning sharing economy within the tourism realm. Moreover, this study provides nuanced insights into the potential implications for future research endeavours. By elucidating the complex relationships between various economic variables and the sharing economy, this research lays the groundwork for further empirical exploration and theoretical refinement. The ramifications of this research extend beyond academia to encompass practical implications for industry practitioners and policymakers alike. By gaining a deeper understanding of the microeconomic drivers of the sharing economy in the tourism sector, stakeholders can devise more informed strategies to leverage its potential for sustainable growth and development. In conclusion, this research represents a significant contribution to the burgeoning field of sharing economy studies within the context of the tourism sector. By revealing the intricate web of microeconomic factors underpinning its development, this study provides valuable insights that can inform both academic discourse and practical decision-making processes. Ultimately, it is hoped that this research will catalyse further exploration and innovation in the field, driving continued growth and prosperity within Lithuania's tourism sector. [ABSTRACT FROM AUTHOR]

The 21st century has seen tourists from various source markets significantly impacted by non-communicable diseases, including mental disorders. Yet, research and practice frequently overlook tourists with mental disorders. Building on Buckley's discussion in the Journal of Travel Research about tourism and mental health, this study examines the travel eligibility of tourists diagnosed with four prevalent mental disorders: major depressive disorder (MDD), generalized anxiety disorder (GAD), schizophrenia, and dementia. We present preliminary recommendations for accommodating these tourists and highlight the urgent need for collaborative efforts between stakeholders in tourism, hospitality, and medicine. [ABSTRACT FROM AUTHOR]

Transformative tourism experiences are powerful life moments with the capacity to elevate individuals' well-being. With the rise of transformative tourism and the growing attention to well-being, theoretical research is needed to outline the underlying processes that connect transformative tourism experiences with individual well-being. This study employed grounded theory to critically analyze a set of travel blogs that narrate individual tourists' transformative tourism experiences. Specifically, we explored how sets of activities during transformative tourism (e.g., backpacker tourism, volunteer tourism, and study tours) contributed to travelers' hedonic and eudaimonic well-being. We took psychological needs as processes of well-being realization to construct an integrated "activities–needs–well-being" conceptual framework to demonstrate how transformative tourism contributes to travelers' hedonic and eudaimonic well-being. [ABSTRACT FROM AUTHOR]

The infrastructural development of the Greater Bay Area in China has experienced rapid growth in recent years. Given the national plans, local governments have to upgrade their urban habitat, convenience, leisure and recreation. Particularly, municipal governments have built lengthy bike lanes for multiple purposes such as commuting, exercise, leisure and tourism. Users' preferences have become more diversified. Within the GBA region, several bike lanes exceed 100 km and thus many rest stations are available along the route. Nevertheless, prior bike travelling studies in Asia Pacific countries have focused on the whole trip experience and bike lanes' safety design focusing in rural areas. There exists a paucity of information about users' preference of amenities for a relatively long-haul bike journey for leisure and tourism purpose in a metropolitan setting. To fill the gap, research with mixed methods using interviews with two groups of insightful persons and a survey of 342 potential users were undertaken to gather their perspectives on the 30 value-added amenities of rest stations for biking travelling. At last, the implications of findings on related policy planning were discussed inclusive the proposed establishment of a commission comprising boarder representativeness of stakeholders and the prioritized facilities in the planning for optimization of bike path for tourism and leisure. • Prior bike travelling studies in Asia Pacific countries have focused on the whole trip experience and bike lanes' safety design focusing in rural areas. There exists a paucity of information about users' preference of amenities for a relatively long-haul bike journey for leisure and tourism purpose in a metropolitan setting. • Two-phrase research design using interviews with two groups of insightful persons and a survey of 342 potential users were undertaken to gather their perspectives on the 30 value-added amenities of rest stations for biking travelling. • Implications of findings on related policy planning were discussed inclusive the proposed establishment of a commission comprising boarder representativeness of stakeholders and the prioritized facilities in the planning for optimization of bike path for tourism and leisure. [ABSTRACT FROM AUTHOR]

Taking Baiyun Mountain Scenic Area in Guangzhou as the research object, 300 online travel notes were selected as research samples, and text analysis and ROST CM6 data analysis software were used to analyze tourists’ image perception of Baiyun Mountain Scenic Area in Guangzhou from three aspects of cognitive image, emotional image and perceptual image. It is found that: ① in terms of cognitive image, tourists’ perception of the tourist attractions is not balanced, and the service facilities such as catering, entertainment, shopping and accommodation are generally negative perceptions, while the perception of the tourism atmosphere tends to be positive. ② In terms of emotional image, tourists have a positive attitude towards the overall evaluation of the scenic area. Most of these positive perceptions come from the natural landscapes and scenic spots of the scenic area. Part of the negative perception mainly comes from the lack of infrastructure, amusement facilities, service facilities or construction management, and the lag of maintenance management within the scenic area. ③ In terms of overall perception, the favorable rate accounts for 81%. The overall perception image of tourists is mainly concentrated in the three core vocabulary of “Baiyun Mountain Scenic Area”, “ticket” and “cable car”. At the same time, suggestions for improvement are proposed in four aspects, including integrating tourism resources in the scenic spot to improve the spatial balance of scenic spots in the scenic area, strengthening the maintenance of infrastructure construction and public environment to improve the service level of the scenic area, increasing the number of recreational tourism products and the entertainment experience of the scenic area, and deepening the reform of the ticket sales system to implement the combination of the set ticket system and the separate ticket system. [ABSTRACT FROM AUTHOR]

This study aims to analyse how a model of tourism planning from a rural community, endogenous and participatory approach can become a strategy for the appropriation and defence of the territory in the municipality of Sibaté. The methodological horizon was oriented from a qualitative approach Páramo (2013) and the method used was the ethnography of places Vergara (2013). The information was systematised and analysed using the qualitative analysis software ATLAS.ti. The findings indicate that municipal development plans can be instruments of territorial defence, to the extent that the communities, their needs and goals are integrated. It is concluded that tourism as a development model can generate significant transformations in rural territories as long as they are inclusive, concerted and participatory, in order to achieve consensus between society and nature. [ABSTRACT FROM AUTHOR]

Aiming at sports tourism environment simulation, this paper aims to explore the application of machine learning algorithm based on light sensor in this field. We propose a new method for sports tourism simulation, which is based on optical sensor data acquisition and processing. The aim of this research is to develop an accurate and efficient algorithm to simulate the optical properties of sports event venues in order to provide a more realistic sports tourism experience. The research method consists of two main steps: optical sensor data collection and machine learning algorithm modeling and training. First, a network of optical sensors was set up to collect light intensity and color information at different locations in the stadium. This data is then used to train a machine learning algorithm to predict and simulate the sports tourism environment under different optical scenarios. Through experiments and evaluations, the proposed algorithm performs well in terms of accuracy and efficiency, and can simulate the lighting characteristics of sports venues with high accuracy. This provides a strong technical support for sports tourism simulation, which can provide users with a more realistic experience. [ABSTRACT FROM AUTHOR]

Gastronomy tourism experiences are growing in the tourism industry, and there has been an increase in the number of tourists that travel primarily to experience food and related culture. Furthermore, Destination Marketing Organisations have increasingly been using local cuisine as a distinguishing feature in marketing a destination. Despite the growing interest in this field of tourism, there is a paucity of research regarding the importance and implications of food tourism on destination image. Thus, this study comprises a systematic quantitative literature review on these topics, which summarises the current knowledge on these areas and identifies the potential for future research. This paper reports on findings from a review of 54 peer-reviewed studies that focused on gastronomy tourism and destination image from 2003 to October 2020. The findings reveal evolving trends in this field of study, namely, the dominant study location is Asia, limited use of theory, quantitative approach is the most frequently used method and the majority of studies examined the topic from tourists' perspectives. [ABSTRACT FROM AUTHOR]

Most tourism research examines peripheral areas as destinations that are often exploited by the dominant, urban core. Little, if any research has considered peripheral areas as potential source markets. Yet, in Australia, some 30% of the population live outside of major urban centres. This study determined that residents of regional centres and rural communities have as much interest in travel as their urban cousins, have similar attitudes to and motivations for travel and moreover travel at the same level of propensity and intensity. Differences are noted in destination choice, though, suggesting an opportunity exists to better market a wider variety of tourism products in peripheral areas. [ABSTRACT FROM AUTHOR]

Despite the role of wealth in modeling the propensity to consume luxurious goods and services, the literature has so far neglected the role of wealth as inferred from the stock market in modeling tourism inflow. Using 43 European countries over the period 1994???2019, we demonstrate that demand-side wealth effect as inferred from the Morgan Stanley Capital International (MSCI) indexes is an important determinant of inbound tourism. We find that a good financial mood extrapolated from the bullish wealth effect positively influences the inflow of tourists to Europe. The effect of the relationship between external wealth effect and inbound tourism is higher for non-EU member countries and countries in Eastern Europe. Lastly, we find that the wealth effect in the US was an important factor in predicting inbound tourism during the global financial crisis. [ABSTRACT FROM AUTHOR]

Copyright of Revista Electrónica Interuniversitaria De Formación del Profesorado is the property of Asociacion Universitaria de Formacion del Profesorado (AUFOP) 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 study aims to explore that as per United Nations Sustainable Development goals' (2015) targets, the entire world has to bring down its poverty levels from absolute poverty; i.e. people earning less than 2.15 dollars a day as prescribed in September 2022 by World Bank. This paper explores the economic impact of tourism industry in Pakistan to uplift economy to back step its poverty line, focusing the potential of tourism industry as a driver of economic growth and development. The study examines to check impact of certain variables such as travelers, international tourists and employment generation due to Tourist industry influencing its Economics growth, i.e. Gross Domestic Product, and proposes strategies to upgrade tourism industry to foster economic growth of the economy. To analyze data set Time series data is taken from the year 1995 to 2021 from world Development index and Ordinary least square method is applied using E-Views to check the results. Results depict that these variables have significant impact to upgrade economic growth of the country if we enhance tourism sector in Pakistan. The findings underscore the significance of strategic planning, investment, and E-marketing in harnessing the full potential of tourism in Pakistan. Pakistan have privilege to enjoy four seasons being hub of historical places and legacy of Mughal Empires from high peak mountains of Himalaya to the beauty of Kashmir, Desert of Thar to different valleys such as Hunza, Chitral, Rumbur and Leepa and plains, so visitors do have lots of attractions to come and visit Pakistan, now the need is to incorporate Pakistan's tourism industry with public private partnership to channelize its digital marketing and E bookings as well more financial support is required to maintain its traditional buildings and tourists places. [ABSTRACT FROM AUTHOR]

The assessment of suitability is the cornerstone for the development of ecotourism in nature reserves. This paper adopts the Delphi method to invite 30 experts to score and screen a series of indicators and then calculates the weight of each indicator through the hierarchical analysis method (AHP) to establish a comprehensive evaluation index system for the suitability of ecotourism development. The AHP method includes four constraints layers (tourism resources, socio-economic environment, ecological conditions, and tourism market), in addition to eleven element layers and thirty-eight indicators. It establishes overarching criteria for evaluating ecotourism suitability. Our research focuses on Dinghushan, Xilin Gol Grassland, Hongze Lake Wetland, and Jiuzhai valley, and the results are as follows: (1) Ecotourism suitability evaluation level is divided into five levels, level I (0 ≤ S < 30) ecotourism development suitability is the lowest, meaning an area is extremely unsuitable for ecotourism development. Level V (90 ≤ S < 100) has a very high ecotourism value, meaning an area is highly suitable for ecotourism development. (2) Jiuzhai valley scored the highest ecotourism suitability evaluation score of 87.63, and Xilingol Grassland scored the lowest score of 81.27. However, the composite scores of all the nature reserves were above 80, placing them at Suitability Level IV, and thereby indicating a high suitability for ecotourism development. (3) Divergences in ecotourism suitability emerge among various nature reserve types, with grassland and meadow reserves exhibiting lower suitability levels. Addressing this, a robust management and monitoring system is imperative, alongside intensified efforts in ecological restoration, vegetation protection, community engagement, education, awareness, and increased policy support and tourism capital investment. (4) The results of the expert questionnaire showed that the maximum weight of the indicators affecting the evaluation of the suitability of ecotourism was the satisfaction of tourists (0.120), and the minimum weight was the accommodation facilities (0.002), which illustrated the important role of tourists in the ecotourism development carried out in the nature reserve. (5) Through empirical analysis of numerous cases, the study validates the practicality and effectiveness of the index system and provides scientific guidelines for the suitability of existing nature reserves for further ecotourism development. This contributes to the research theory on the suitability evaluation of ecotourism development and serves as a valuable reference for the future ecotourism development of diverse nature reserves. [ABSTRACT FROM AUTHOR]

In the rapidly evolving digital landscape, the use of social media, particularly Facebook, by destination management organizations (DMOs) for promoting tourism destinations has become increasingly significant. However, the particularities of using this powerful tool in promoting ecotourism destinations have not been sufficiently debated in the literature. To fill this gap, the present study brings a new perspective with the aim of understanding how the Facebook communication strategies of ecotourism destinations in Romania affect user reactions. This research was based on secondary data obtained by examining Facebook posts from seven Romanian ecotourism destinations during a period of six months. The initial step was to analyze the Facebook posts of the selected destinations and to extract major themes present in the posted content. These posts are categorized into themes such as nature, leisure, culture, and hospitality, providing a comprehensive view of the content strategy adopted by these destinations. The findings reveal that posts related to culture and nature are predominant and receive higher user interactions in the form of likes, comments, and shares. Most user reactions were expressed in the form of likes, while the number of comments and shares was quite modest. The analysis of factors influencing user reactions reveals that only the number of posts has a significant impact. Moreover, the post content and post format do not have a significant influence on users' reactions to destinations' posted content on Facebook. This study concludes that for the effective online promotion of ecotourism destinations, DMOs should focus on increasing the number and frequency of posts, and on creating content that aligns with audience preferences, particularly emphasizing the main features of the destination. These insights are crucial for DMOs in strategizing their online communication to enhance user reactions and promote their destinations effectively in the competitive sphere of global tourism. [ABSTRACT FROM AUTHOR]

This article explores the efficacy of experience-based marketing strategies in enhancing customer engagement and retention within the dynamic landscape of the tourism and travel industry. Drawing upon a comprehensive case study analysis, this research delves into the nuanced mechanisms through which experiential marketing initiatives impact consumer behavior and loyalty. By examining diverse experiential tactics such as immersive storytelling, interactive technology integration, and personalized service offerings, this study uncovers the pivotal role of memorable experiences in fostering emotional connections and long-term relationships with customers. The findings underscore the significance of crafting unique, sensory-rich encounters that resonate with travelers' aspirations, preferences, and values. Moreover, this research elucidates the strategic implications of leveraging experiential marketing to differentiate brands, drive word-of-mouth advocacy, and sustain competitive advantage in an increasingly crowded marketplace. Insights from this study offer actionable recommendations for tourism and travel businesses to design and implement effective experience-based marketing campaigns that cultivate deep-seated connections with their target audience, engender brand loyalty, and ultimately drive business growth. [ABSTRACT FROM AUTHOR]

The Palace Museum, well known as the Forbidden City, is one of the most splendid and valuable cultural treasures of China and a World Cultural Heritage. During the past 10 years many improvements and changes have been made in the Palace Museum, however, it is more important to know whether and to which extent visitors are satisfied with their experience. Although prior research has discussed the strategic management of the curator, little is done to combine tourists' perception with the curator's performance. To address this issue, a mixed method is applied to compare the planned action from the leader's perspective and the online review from tourists' comments, by analyzing the operation of Shan from 2012 to 2019 and online reviews of tourists from three major Chinese tourism websites. This research is innovative insofar as it provides a new theoretic framework to evaluate the curator's performance. [ABSTRACT FROM AUTHOR]

The paper discusses the integration of artificial intelligence (AI) in education, particularly focusing on digital tourism. It highlights the use of AI-assisted learning to personalize educational content and enhance learning experiences for students. Specific examples include AI-powered platforms for designing cultural travel blogs and personalized learning paths for cultural tourism education. The paper also emphasizes the role of AI in supporting self-learning, adaptive learning systems, intelligent tutoring systems, and natural language processing. It showcases case studies from the University of Rome "Tor Vergata" and explores AI's potential to improve accessibility and provide tailored educational experiences for learners with disabilities. [ABSTRACT FROM AUTHOR]

In coastal delphinid conservation, dolphin watching (DW) is frequently proposed for artisanal fishers as a community‐based marine ecotourism (CBME) plan to reduce fishing effort and delphinid bycatch. Questions including whether DW profitability is sufficient to replace fishing and whether fishers can conduct DW sustainably, however, are rarely examined.In the present study, questionnaire targeting tourists was implemented to investigate DW profitability in Sanniang Bay, China where DW‐based CBME has been operated by local fishers since 2004. CBME sustainability was evaluated by comparing DW profitability with household income with reference to local poverty, and rural and economically comfortable families in China.Out of 1046 tourists interviewed, 40 (3.82%) tourists knew there is DW in Sanniang Bay, while 292 (27.9%) tourists were lured to attend DW with low pricing. The fisher earned 110RMB (ca. 16.0$USD) per DW trip and required two, four, and nine trips per day to earn household income higher than poverty, rural and economically comfortable lines. Raising ticket fee and maximizing per‐trip number of tourists can substantially improve DW profitability, which facilitates CBME sustainability and poses minimal impacts on target animals.CBME in rural areas could be trapped into low popularity–low pricing–low profitability embarrassments because of primitive tour facilities, insufficient ecological education value, poor hospitality skills and lacking marketing access. The sustainable CBME should incorporate ecologically friendly conducts, direct indigenous profits with minimal transaction costs, venture and service diversification, and marketing with indigenous cultural characteristics.DW history in Sanniang Bay further indicates profit distribution of tourism ventures directly influence CBME sustainability. Accordingly, indigenous rights, economic equity and social justice should be centrally placed in CBME policying with the minimal intervention from non‐indigenous capitals and commercialized manipulations. [ABSTRACT FROM AUTHOR]

Regardless of its distinction for touring and tourism communication, the subject of machine translation has not been dealt with regarding tourism investigation. This study aims to bridge this gap in knowledge by exploring machine translation (MT) technology in the development of tourism translation from the perspectives of translators and translation experts in Saudi Arabia. To attain the three objectives of the study, the researcher applied the quantitative approach. For data gathering, a 12-item opinion poll was disseminated among a random sample group that consisted of 80 translators and translation experts who were selected at random from several Saudi universities, top translation services companies, and tourism organizations during the current academic year 1445/AH/2024 CE. The findings of this study discovered that many translators and translation experts had positive perspectives on utilizing machine translation (MT) technology in the development of tourism translation around the world today in general and Saudi Arabia in particular. Moreover, the perspectives of these translators and translation experts on the difficulties and intricacy confronted in applying machine translation (MT) technology in the tourism translation industry were highly positive. Over half of the participants (51.42%) perceived that machine translation (MT) can help overcome obstacles encountered by translators in the field of tourism. The findings revealed that translators and translation experts in the realm of the tourism industry have a promising future thanks to the relationship between machine translation (MT) and tourism translation. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Hospitality & Tourism Technology is the property of Emerald Publishing Limited 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 Sport & Tourism Central European Journal / Sport i Turystyka Srodkowoeuropejskie Czasopismo Naukowe is the property of Jan Dlugosz University in Czestochowa 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 Sport & Tourism Central European Journal / Sport i Turystyka Srodkowoeuropejskie Czasopismo Naukowe is the property of Jan Dlugosz University in Czestochowa 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 Pasos: Revista de Turismo y Patrimonio Cultural is the property of Universidad de La Laguna, Instituto Universitario de Ciencias Politicas y Sociales 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.)

This study delves into the intricacies of booking behaviors, focusing on the preference for tropical coastal cities during colder seasons, given the burgeoning need for personalized and intelligent travel recommendations in the modern tourism landscape. Traditional booking systems, with their static algorithms, have often neglected the dynamic interplay of environmental factors and user preferences, necessitating an evolution towards more sophisticated, adaptive models. To address this, the research employed advanced machine learning and artificial intelligence techniques, amalgamating data from diverse sources like major tourism websites, hotel platforms, and social media. The methodology involved meticulous data preprocessing to ensure data quality and depth, followed by the implementation of deep learning models and time series analysis, which were instrumental in deciphering complex patterns and offering predictive insights. This comprehensive approach facilitated the integration of various environmental factors such as weather conditions and temporal events, enabling the system to craft hyper-personalized recommendations that resonate with user preferences and environmental nuances. The findings were illuminating, unveiling a significant inverse relationship between temperature and bookings and highlighting the influential role of temporal events in driving bookings. The advanced predictive models showcased commendable accuracy, underscoring the transformative potential of such intelligent systems in enhancing user experiences and engagement in the tourism sector. These insights pave the way for the development of innovative strategies that can significantly elevate user satisfaction and industry growth. The study concludes that the integration of machine learning and AI in booking systems can revolutionize the tourism industry by offering unprecedented levels of personalization and adaptability, catering to the diverse and evolving needs of modern travelers. [ABSTRACT FROM AUTHOR]

The rural B&B industry is a key component of rural tourism, local economic development, and the wider rural revitalization strategy. Despite the abundance of tourism resources in Yunnan, the B&B sector faces significant challenges. It is therefore imperative to accurately identify the most pressing issues within the current B&B industry and formulate appropriate solutions to advance Yunnan's rural revitalization efforts. This study uses recent reviews of rural B&Bs on Ctrip.com and employs machine learning techniques, including Bert, CNN, LSTM, and GRU, to identify the key management challenges currently facing Yunnan's rural B&B industry. An analysis is then conducted to identify the key stakeholders involved in the process of improving the management of Yunnan's B&Bs. To assess the willingness of each stakeholder to support the improvement of the rural B&B industry, this paper establishes a three-party evolutionary game model and examines the dynamic evolutionary process of management improvement within Yunnan's rural B&B industry. Two scenarios of evolutionarily stable strategies are analyzed, and parameters impacting stakeholders' strategy choices are simulated and evaluated. The results show that: i) Improving the "human factor" is the top priority for the current management improvement because tourists are most concerned about the emotional experience. Operators need to focus on improving service attitude and emotional experience; ii) The main stakeholders in the current management optimization process of Yunnan B&Bs are the local government, B&B operators, and tourists. Under appropriate conditions, the evolutionarily stable strategy of (1, 1, 1) is reachable. iii) variables such as additional costs, tourists' choice preferences, and government penalties significantly affect the strategy choices of stakeholders, especially B&B operators. This paper offers effective strategies for improving B&B management that can benefit the government, B&B operators, and tourists, and ultimately contribute to the promotion of quality rural revitalization. The paper not only identifies focal areas for improving B&B management in rural Yunnan, but also provides an in-depth understanding of stakeholder dynamics. As a result, it provides valuable insights to further the cause of quality rural revitalization. [ABSTRACT FROM AUTHOR]

"Agro", "agri", and "rural" tourism have gained significant attention as emerging forms of tourism that provide unique experiences rooted in agricultural and rural settings. Beyond their economic and cultural contributions, these forms of tourism have been found to have a profound impact on individual happiness and well-being. This piece of work delves into the mechanisms underlying the relationship between "agro", "agri", or "rural" tourism and happiness, drawing from research in sociology and environmental science. By understanding the science behind this connection, we can further promote the development and implementation of "agro", "agri", and "rural" tourism initiatives that foster happiness and well-being. This study aims to examine existing research on "agro", "agri", or "rural" tourism and happiness, assess the implications of relevant scientific articles, and identify potential areas for future research. A systematic process was employed to identify articles related to terms such as "agrotourism", "agro tourism", "agro-tourism", "agritourism", "agri tourism", "agri-tourism", or "rural tourism" and happiness in the Scopus database. The selection criteria focused on articles that explored the above terms in their titles, abstracts, and keywords. The findings equally rely on qualitative and quantitative assessments, predominantly from the demand side, followed by the supply side and residents' views. [ABSTRACT FROM AUTHOR]

While traveling, people need to utilize smart tourism service systems based on the Internet of Things (IoT) to enhance their journeys' convenience. However, existing IoT-based smart tourism service systems still possess certain shortcomings. In light of this, this paper delves into the integration of IoT and machine learning (ML) technologies to improve the design of smart tourism service systems and establish a platform for intelligent tourism services. Simulated datasets are employed to evaluate the performance and functionality of the smart tourism service system. The primary contributions, as inferred from the test results, are as follows: In area 1, the model achieves a congestion recognition rate of 92.6% with an error rate of only 1.5% in congestion judgment. In area 2, congestion is accurately identified 93.5% of the time, with a misjudgment rate of just 1.2%. In area 3, the model achieves a congestion identification rate of 94.2% along with a 1.3% misjudgment rate, effectively identifying congestion situations in scenic spots. When comparing the research and design system with the system based on the support vector machine (SVM) algorithm, the results demonstrate that the smart tourism service system designed in this paper, leveraging IoT technology and ML algorithms, achieves higher prediction accuracy than the SVM-based system. These findings can serve as a valuable guide for designing future smart tourism service systems. [ABSTRACT FROM AUTHOR]