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Forecasting tourist arrivals at attractions: Search engine empowered methodologies
16 references·16 citing·50 second hopsampled
Forecasting tourist arrivals at attractions: Search engine empowered methodologies (2018)Forecasting tourist arrivals at attractio…Forecasting tourism demand with composite search index (2016)Forecasting tourism demand wi…Consumer Behaviour in Tourism (2016)Consumer Behaviour in TourismSoCoMo marketing for travel and tourism: Empowering co-creation of value (2015)SoCoMo marketing for travel a…Smartphone Use in Everyday Life and Travel (2014)Smartphone Use in Everyday Li…Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet (2014)Information technology and co…Forecasting Chinese tourist volume with search engine data (2014)Forecasting Chinese tourist v…Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach (2014)Can Google data improve the f…Adapting to the Internet (2014)Adapting to the InternetPredicting the Present with Google Trends (2012)Predicting the Present with G…The Role of Smartphones in Mediating the Touristic Experience (2011)The Role of Smartphones in Me…Tourism demand modelling and forecasting—A review of recent research (2007)Tourism demand modelling and …Searching for the Future: Challenges Faced by Destination Marketing Organizations (2006)Searching for the Future: Cha…AN INTEGRATIVE MODEL OF TOURISTS’ INFORMATION SEARCH BEHAVIOR (2004)AN INTEGRATIVE MODEL OF TOURI…Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting (2000)Back-propagation learning in …A Model of Tourist Information Search Behavior (1999)A Model of Tourist Informatio…Tourist attraction systems (1990)Tourist attraction systemsTourism and Hospitality Forecasting With Big Data: A Systematic Review of the Literature (2024)Tourism and Hospitality Forec…GPS, Smartphones, and the Future of Tourism Research (2024)GPS, Smartphones, and the Fut…Do topic and sentiment matter? Predictive power of online reviews for hotel demand forecasting (2024)Do topic and sentiment matter…Forecasting hourly attraction tourist volume with search engine and social media data for decision support (2023)Forecasting hourly attraction…Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors? (2022)Search query and tourism fore…Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach (2022)Machine learning models for p…Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects (2022)Daily tourism demand forecast…Forecasting daily attraction demand using big data from search engines and social media (2021)Forecasting daily attraction …Are customer reviews just reviews? Hotel forecasting using sentiment analysis (2021)Are customer reviews just rev…The role of disaggregated search data in improving tourism forecasts: Evidence from Sri Lanka (2020)The role of disaggregated sea…Ex Ante Tourism Forecasting Assessment (2020)Ex Ante Tourism Forecasting A…A novel BEMD-based method for forecasting tourist volume with search engine data (2020)A novel BEMD-based method for…Forecasting tourist arrivals: Google Trends meets mixed-frequency data (2019)Forecasting tourist arrivals:…Fine-grained tourism prediction: Impact of social and environmental features (2019)Fine-grained tourism predicti…Data source combination for tourism demand forecasting (2019)Data source combination for t…Big data or small data? A methodological review of sustainable tourism (2019)Big data or small data? A met…Time Series Analysis, Forecasting and Control. 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References

  • 2012Predicting the Present with Google Trends2,353 cited
  • 2007Tourism demand modelling and forecasting—A review of recent research1,419 cited
  • 1990Tourist attraction systems802 cited
  • 2011The Role of Smartphones in Mediating the Touristic Experience778 cited
  • 2014Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet759 cited
  • 2004AN INTEGRATIVE MODEL OF TOURISTS’ INFORMATION SEARCH BEHAVIOR667 cited
  • 2014Smartphone Use in Everyday Life and Travel601 cited
  • 2015SoCoMo marketing for travel and tourism: Empowering co-creation of value544 cited
  • 1999A Model of Tourist Information Search Behavior530 cited
  • 2006Searching for the Future: Challenges Faced by Destination Marketing Organizations441 cited
  • 2014Forecasting Chinese tourist volume with search engine data432 cited
  • 2016Consumer Behaviour in Tourism388 cited
  • 2016Forecasting tourism demand with composite search index369 cited
  • 2014Adapting to the Internet355 cited
  • 2000Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting344 cited

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  • 2014Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach331 cited
  • Cited by

    • 2019Big data or small data? A methodological review of sustainable tourism159 cited
    • 2024Tourism and Hospitality Forecasting With Big Data: A Systematic Review of the Literature86 cited
    • 2022Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?70 cited
    • 2019Forecasting tourist arrivals: Google Trends meets mixed-frequency data65 cited
    • 2019Data source combination for tourism demand forecasting63 cited
    • 2021Are customer reviews just reviews? Hotel forecasting using sentiment analysis63 cited
    • 2021Forecasting daily attraction demand using big data from search engines and social media61 cited
    • 2023Forecasting hourly attraction tourist volume with search engine and social media data for decision support49 cited
    • 2022Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach47 cited
    • 2020A novel BEMD-based method for forecasting tourist volume with search engine data43 cited
    • 2020Ex Ante Tourism Forecasting Assessment43 cited
    • 2024Do topic and sentiment matter? Predictive power of online reviews for hotel demand forecasting41 cited
    • 2019Fine-grained tourism prediction: Impact of social and environmental features40 cited
    • 2020The role of disaggregated search data in improving tourism forecasts: Evidence from Sri Lanka40 cited
    • 2022Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects40 cited
    • 2024GPS, Smartphones, and the Future of Tourism Research6 cited