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Review of tourism forecasting research with internet data · Study

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ArticleReview of tourism forecasting research with internet data

Xin Li2020

Article2020

Review of tourism forecasting research with internet data

Xin Li · Rob Law · Gang Xie · Shouyang Wang

194 citations·0/0 files stored·Tourism Management

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Forecasting Techniques and Applications Diverse Aspects of Tourism Research Digital Marketing and Social Media

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References

2012Predicting the Present with Google Trends 2013Social Media in Tourism and Hospitality: A Literature Review 2012Marketing meets Web 2.0, social media, and creative consumers: Implications for international marketing strategy 2018Big data in tourism research: A literature review 2016A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism 2012Social Media and Firm Equity Value 2019A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting 2019Tourism demand forecasting: A deep learning approach

Cited by

2021Forecasting the U.S. oil markets based on social media information during the COVID-19 pandemic 2022Revealing the dual importance and Kano type of attributes through customer review analytics 2024Enhancing tourism demand forecasting with a transformer-based framework 2023Forecasting hourly attraction tourist volume with search engine and social media data for decision support 2022

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Details

Year2020

Typearticle

Published2020-10-21

VenueTourism Management

ISSN-L0261-5177

Languageen

Citations194

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.tourman.2020.104245

openalex_workW3094178485

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A novel deep learning approach for tourism volume forecasting with tourist search data

2022Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach

2022Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19

2023Decoding digital nomad destination decisions through user-generated content