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Legal Basis of Educational Processes of Artificial Intelligence Algorithms in E-tourism
4 references·0 citing·15 second hop
Legal Basis of Educational Processes of Artificial Intelligence Algorithms in E-tourism (2024)Legal Basis of Educational Processes of A…What factors contribute to the acceptance of artificial intelligence? A systematic review (2022)What factors contribute to th…Artificial Intelligence in the Tourism Industry: A privacy impasse (2022)Artificial Intelligence in th…A systematic literature review on the use of big data for sustainable tourism (2021)A systematic literature revie…Forecasting Tourism Demand (2012)Forecasting Tourism DemandBig data: a revolution that will transform how we live, work, and think (2013)Beyond the hype: Big data concepts, methods, and analytics (2014)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Intelligent automation for sustainable tourism: a systematic review (2023)Measuring sustainable tourism: a state of the art review of sustainable tourism indicators (2023)Systematic Literature Review Analysing Smart Tourism Destinations in Context of Sustainable Development: Current Applications and Future Directions (2023)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)Cyberpsychology Journal of Psychosocial Research on Cyberspace (2020)Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework (2023)Revolutionizing education: Artificial intelligence empowered learning in higher education (2023)Technological disruptions in services: lessons from tourism and hospitality (2019)AI Ethics (2020)In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)
this work references cited by second hop

References

  • 2022What factors contribute to the acceptance of artificial intelligence? A systematic review1,187 cited
  • 2021A systematic literature review on the use of big data for sustainable tourism150 cited
  • 2012Forecasting Tourism Demand41 cited
  • 2022Artificial Intelligence in the Tourism Industry: A privacy impasse13 cited

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