As a novel experiential approach, live streaming at tourist destinations has garnered significant attention and profoundly impacts tourists' travel decisions. This study aims to validate the effects of usefulness, authenticity, and interactivity of destination live streams on the decision-making process of tourists. Grounded in stimulus-organism-response (S-O-R) theory, this research identifies the usefulness, authenticity, and interactivity of destination live streams as the "stimulus," while telepresence and trust as the "organism," with tourists' travel decisions as the "response." Utilizing survey questionnaires, 274 valid data were collected and analyzed through structural equation modeling in SPSS 26.0 and Amos 28.0 software to assess the impact of destination live streams on tourists' travel decisions. The findings reveal that both interactivity and authenticity positively influence tourists' telepresence. Additionally, the usefulness, interactivity, and authenticity of these live streams also positively affect perceived trust among viewers, which subsequently enhances their travel decisions. This study highlights the usefulness, authenticity, and interactivity as external stimuli in destination live streams, elucidating their influence on tourists' travel decisions and contributing to the understanding of the live streaming phenomenon within the tourism sector.
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http://dx.doi.org/10.1038/s41598-025-85741-5 | DOI Listing |
BMJ Oncol
February 2024
Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
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Methods And Analysis: We extracted data of 1546 atezolizumab-treated patients from four multicentre clinical trials.
BMJ Oncol
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Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
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Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.
Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-derived (AID) markers for clinical decision support. We used xAI to decode the outcome of 15,726 patients across 38 solid cancer entities based on 350 markers, including clinical records, image-derived body compositions, and mutational tumor profiles.
View Article and Find Full Text PDFPLoS One
January 2025
School of Architecture and Urban Planning, Lanzhou Jiaotong University, Gansu, Lanzhou, China.
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View Article and Find Full Text PDFBMJ Glob Health
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Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada.
The poor management of public health risks associated with travel by most countries proved among the most contentious issue areas during the COVID-19 pandemic. Evidence from previous outbreaks suggested travel restrictions were largely unnecessary and counterproductive to timely reporting. This led to initial WHO recommendations against the use of travel restrictions.
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