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Artificial intelligence: a systematic review of methods and applications in hospitality and tourism
16 references·1 citing·44 second hop
Artificial intelligence: a systematic review of methods and applications in hospitality and tourism (2021)Artificial intelligence: a systematic rev…Light at the end of the tunnel: Visitors' virtual reality (versus in-person) attraction site tour-related behavioral intentions during and post-COVID-19 (2021)Light at the end of the tunne…Influences of artificial intelligence (AI) awareness on career competency and job burnout (2021)Influences of artificial inte…Tourism Demand and the COVID-19 Pandemic: An LSTM Approach (2020)Tourism Demand and the COVID-…Impact of AI and robotics in the tourism sector: a critical insight (2020)Impact of AI and robotics in …Effects of COVID-19 on hotel marketing and management: a perspective article (2020)Effects of COVID-19 on hotel …Adoption of AI-based chatbots for hospitality and tourism (2020)Adoption of AI-based chatbots…A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism (2020)A review of research into aut…Tourism demand forecasting: A deep learning approach (2019)Tourism demand forecasting: A…Progress on robotics in hospitality and tourism: a review of the literature (2019)Progress on robotics in hospi…Predicting the intentions to use chatbots for travel and tourism (2019)Predicting the intentions to …Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing (2019)Discovering the tourists' beh…Prediction for Tourism Flow based on LSTM Neural Network (2018)Prediction for Tourism Flow b…Exploring customer experiences with robotics in hospitality (2018)Exploring customer experience…New developments in tourism and hotel demand modeling and forecasting (2017)New developments in tourism a…Enhancing art gallery visitors’ learning experience using wearable augmented reality: generic learning outcomes perspective (2016)Enhancing art gallery visitor…Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred Reporting Items for…Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda (2022)Artificial intelligence in to…Using thematic analysis in psychology (2006)Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots (2008)Brand Experience: What Is It? How Is It Measured? Does It Affect Loyalty? (2009)Applications and Implications of Service Robots in Hospitality (2020)The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges (2020)Time Series Analysis: Forecasting and Control. 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(2022)Artificial intelligence empowered conversational agents: A systematic literature review and research agenda (2023)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)From high-touch to high-tech: COVID-19 drives robotics adoption (2020)Factors influencing destination image (2004)The Impacts of Robotics, Artificial Intelligence On Business and Economics (2015)Effects of Virtual Reality and Augmented Reality on Visitor Experiences in Museum (2016)Artificial Intelligence in Service (2018)Mitigate the effects of home confinement on children during the COVID-19 outbreak (2020)The Fear of COVID-19 Scale: Development and Initial Validation (2020)A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations (2021)Crisis management research (1985–2020) in the hospitality and tourism industry: A review and research agenda (2021)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework (2022)ChatGPT for tourism: applications, benefits and risks (2023)The measurement of experienced burnout (1981)The job demands-resources model of burnout. (2001)Incorporating a reflective thinking promoting mechanism into artificial intelligence-supported English writing environments (2021)Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework (2022)Investigating the double-edged sword effect of AI awareness on employee's service innovative behavior (2022)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (2001)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)
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References

  • 2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement65,829 cited
  • 2020A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism1,184 cited
  • 2020Adoption of AI-based chatbots for hospitality and tourism1,076 cited
  • 2020Effects of COVID-19 on hotel marketing and management: a perspective article875 cited
  • 2018Exploring customer experiences with robotics in hospitality518 cited
  • 2021Influences of artificial intelligence (AI) awareness on career competency and job burnout500 cited
  • 2020Impact of AI and robotics in the tourism sector: a critical insight492 cited
  • 2019Tourism demand forecasting: A deep learning approach486 cited
  • 2019Predicting the intentions to use chatbots for travel and tourism454 cited
  • 2019Progress on robotics in hospitality and tourism: a review of the literature439 cited
  • 2019Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing318 cited
  • 2017New developments in tourism and hotel demand modeling and forecasting313 cited
  • 2021Light at the end of the tunnel: Visitors' virtual reality (versus in-person) attraction site tour-related behavioral intentions during and post-COVID-19247 cited

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  • 2020Tourism Demand and the COVID-19 Pandemic: An LSTM Approach221 cited
  • 2018Prediction for Tourism Flow based on LSTM Neural Network209 cited
  • 2016Enhancing art gallery visitors’ learning experience using wearable augmented reality: generic learning outcomes perspective203 cited
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    • 2022Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda417 cited