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123 results for “Tourism”
analisis bibliometrik E-commerce AND Tourism Services
<p>mengumpulkan Ujian Akhir Semester Hukum Bisnis Online</p> <p> </p>
Effects of wildlife tourism on white shark associative behaviour
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Marketing birds: The traits birdwatching tourism companies highlight in Costa Rican tour itineraries
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In-water observations highlight the effects of provisioning on whale shark behaviour at the world's largest whale shark tourism destination
The whale shark is the world's largest fish that forms predictable aggregations globally, many of which support tourism industries. The largest non-captive provisioned whale shark destination globally is at Oslob, Philippines, where >500,000 tourists visit yearly. There, the sharks are provisioned daily, year-round, allowing the human-shark interaction in nearshore waters. We used in-water behavioural observations of whale sharks between 2015 and 2017 to understand the relationship between external stimuli and shark behaviour, whether frequency of visits at the site can act as a predictor of behaviour, and the tourist compliance to the code of conduct. Mixed effects models revealed that the number of previous visits at the site was a strong predictor of whale shark behaviour, and that provisioned sharks were less likely to exhibit avoidance. Compliance was poor, with 93% of surveys having people <2 m from the animal, highlighting overcrowding on whale sharks at Oslob. Given the behavioural implications to whale sharks highlighted here and the local community's reliance on the tourism industry, it is imperative to look into improving management strategies to increase tourist compliance and strive for sustainable tourism practices.
Complete Data Set for the Master Thesis: Acceptance of Robotics in Tourism
<p>Complete data set for the master thesis "Acceptance of Robotic Technology in Tourism" including the SPSS file. </p><p><strong>Abstract</strong></p><p>Robotics, artificial intelligence, and automation have undergone significant evolution across various industries, from manufacturing to healthcare. The tourism industry is also embracing these technological advancements, accelerated by factors such as the global pandemic and labor shortages. Despite their transformative potential, the academic exploration of robots in tourism remains limited, particularly regarding customer attitudes and acceptance.</p><p>This master thesis addresses the gap in research by investigating the acceptance of robots in the tourism industry. The study aims to identify the factors influencing acceptance, explore potential initiatives for increased acceptance over time, and highlight challenges in integrating robotics into tourism. The research questions guide the exploration of these facets. The literature review reveals a scarcity of research on robot acceptance in tourism, with existing studies often focusing on engineering aspects rather than social science perspectives. To address this topic, this thesis formulates a comprehensive research goal, seeking to understand the factors shaping acceptance and offering insights into the opportunities and challenges of robot integration in tourism. The thesis then explores the fundamental aspects of robotics and their potential applications in tourism, presenting a micro, meso, and macro level analysis. A hypothesis model is developed based on prior research, laying the groundwork for data collection through surveys in three distinct scenarios. Upon gathering and processing the survey data using SPSS, the results are analyzed, with a focus on influencing factors affecting robot acceptance. The findings are compared to established models such as TAM, UTAUT, and the Service Robot Acceptance Model.</p><p>Keywords: robotics, artificial intelligence, adoption, technology acceptance model, tourism, perceived usefulness, perceived ease of use, anthropomorphism </p><p><strong>Use not permitted without permission of the author.</strong></p>
Sick of attention: The effect of a stress-related disease on juvenile green sea turtle behaviour in the face of intense and prolonged tourism
<p><span><span><span><span><span><span><span><span><span><span><span>Anthropogenic activities are increasingly linked to emerging diseases that cause mortality across many taxa. Human interference through ecotourism, in particular, can increase the stress levels of wild populations and promote the spread of disease. In Akumal Bay, Mexico, green sea turtles (<i>Chelonia mydas</i>) are increasingly infected with fibropapillomatosis (FP), an infectious disease associated with stress-induced immunosuppression linked to high human density, which is particularly high in this area because of intense and prolonged ecotourism. To examine if FP might be associated with behavioural indicators of stress and varying levels of tourist pressure, we observed the behaviour of turtles and the number of tourists through 20-minute focal sampling periods from May to August 2017. We related disease presence and tourist pressure to several aspects of turtle behaviour, specifically feeding, resting, vertical movements (i.e., surfacing and diving), and evasive responses. Turtles that had FP engaged in fewer feeding periods, vertical movements, and evasive responses. Additionally, with increasing tourist pressure, all turtles spent less time engaging in vertical movements and had more evasive responses. Our results suggest that the presence of FP affects green sea turtle behavior, potentially increasing their exposure to tourists. Sick and healthy turtles appear to react differently to tourists, suggesting that FP weakens behavioural responses to tourist pressure. Future management strategies should consider regulating tourist pressure on turtles to reduce the incidence and progression of FP.</span></span></span></span></span></span></span></span></span></span></span></p>
statistical survey, sustainable tourism, Generation Z, Italy, Venice, 2022
<p>statistical survey, sustainable tourism, Generation Z, Italy, Venice, 2022</p>
Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction
<p>This dataset contains the spatially-explicit gridded database based on social media data for over 150 different tourism-related classes that depicts tourism density (supply and demand) and perceived satisfaction in Europe, and the related exposure to selected climate extreme events. Information on tourism density (supply and demand) and perceived satisfaction are categorised for Attractions, Culinary, and Hospitality, while the exposure analysis of those clases are provided in separate, specific files. The provided dataset is made accessible to support large-scale and regional tourism research and extends its relevance to other fields that are part of tourism as a complex system, such as risk assessment and vulnerability studies. For citing this work, please refer to the research article "Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction", DOI 10.1088/1748-9326/ad3e91. Suggested citation: "Camatti, N., Hrast Essenfelder, A., & Giove, S. (2024). Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction. Environmental Research Letters."</p>
Dataset download from Web of science for paper entitled "An Overview of the Future Tourism Wellness as an Alternative Solution to Enhance Halal Tourism Industry in Indonesia"
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DiverReef: The global repository of divers' and snorkelers' behavior during tourism activities and their interactions with reef environments over 20 years
<p>The DiverReef database provides the first public dataset on the underwater behavior of recreational divers and snorkellers in shallow reef environments (< 25 m depth) globally and their interactions with the reef seascape and/or reef benthic sessile organisms. The dataset comprises 19 years of data (2004-2023) by observing the behavior of 2312 recreational divers and snorkelers in 9 countries at 19 diving destinations and 176 diving sites. The data were collected through on-site observation of divers' behavior during tourism activities and their physical interactions with the reef structure and/or benthic reef sessile organisms. Observers discretely followed divers and recorded their behavior and interactions with the reef over set time periods. Interactions were described as "contact" and "damage", the latter refers to when physical damage to a benthic organism or the reef structure was observed. Besides behavior, observers also recorded data on the type of diving activity (scuba or snorkeling), profiles of the divers (gender and experience), use of cameras by the divers, visibility, type of reef formation and marine protection status of the dive site. This is the external repository where the DiverReef database is archived. This database has an attribution-share alike (CC BY-SA 4.0 Deed) copyright restriction. When using this database, the original paper in the Ecology journal (include DOI when available) must be cited.</p>
Temporal overlays of the co-word analysis network on Ecotourism, Sustainable Tourism and Nature Based Tourism (1986-2022): Map and network for VOSViewer visualization
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Geographical overlays of the co-word analysis network on Ecotourism, Sustainable Tourism and Nature Based Tourism (1986-2022): Map and network for VOSViewer visualization
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Base outline of the co-word analysis network on Ecotourism, Sustainable Tourism and Nature Based Tourism (1986-2022): Map and Network for VOSViewer visualization
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State Defense Strategy in Realizing Sustainable Tourism in Sleman Regency
<p>This material has presented on 2nd International Conference on Advance Research in Social and Economic Science in October 25, 2023.</p>
Post-Pandemic Development Strategy for Cultural Tourism Village
<p>This material has presented on 2nd International Conference on Advance Research in Social and Economic Science in October 25, 2023.</p>
Community-Based Waste Management Strategy: Case Study in Wukirsai Tourism Village, Bantul, Yogyakarta
<p>This material has presented on 2nd International Conference on Advance Research in Social and Economic Science in October 25, 2023.</p>
Digital Transformation to Optimize the BBI (Proudly Made in Indonesia) National Movement for Tourism and Creative Economy Actors in the Borobudur Tourism Area, Salaman District, Magelang
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Figure of Recovery ASEAN Economy through a Sustainable Tourism Sector in the Post COVID-19
<p>The figure in this article demonstrates the significant impact of the sustainable development theory. It shows that among international and regional cooperation, tourism-promoting communities, and government regulations, the government's budgeting role has the most influence on enhancing the ASEAN economy, especially in improving the environment in tourist destinations.</p> <p>This figure results from thorough data processing by our committed research team, It will pave the way for future investigations into the pandemic and its effects on sustainable development.</p>
Be.CULTOUR Dashboard - Local Impact Indicators for Circular Cultural Tourism
<p>Dashboard of indicators for circular cultural tourism impacts assessment</p>
Dataset Bibliometric - Leadership Style In Tourism and Hospitality
<p>Dataset Bibliometric - Leadership Style In Tourism and Hospitality In 2010 -2024</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.