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Bibliografická citace

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Bradford, West Yorkshire : Emerald Publishing Limited, 2021
1 online resource (389 pages)
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ISBN 9781802625103 (electronic bk.)
International Journal of Contemporary Hospitality Management Ser. ; v.6
Print version: Okumus, Fevzi Big Data Analytics and Forecasting in Hospitality and Tourism Bradford, West Yorkshire : Emerald Publishing Limited,c2021
Cover -- Guest editorial -- Tourism demand nowcasting using a LASSO-MIDAS model -- Forecasting daily attraction demand using big data from search engines and social media -- High-frequency forecasting from mobile devices’ bigdata: an application to tourism destinations’ crowdedness -- A segmented machine learning modeling approach of social media for predicting occupancy -- Which search queries are more powerful in tourism demand forecasting: searches via mobile device or PC? -- Timing matters: crisis severity and occupancy rate forecasts in social unrest periods -- Are environmental-related online reviews more helpful? A big data analytics approach -- Listening to your employees: analyzing opinions from online reviews of hotel companies -- Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making -- Asymmetric relationship between customer sentiment and online hotel ratings: the moderating effects of review characteristics -- Toward travel pattern aware tourism region planning: a big data approach -- Extracting revisit intentions from social media big data: a rule-based classification model -- Spatial-temporal evolution patterns of hotels in China:1978-2018 -- Destination image through social media analytics and survey method -- Do the flipped impacts of hotels matter to the popularity of Airbnb? -- The decision tree for longer-stay hotel guest: the relationship between hotel booking determinants and geographical distance -- Using social media photos as a proxy to estimate the recreational value of (im)movable heritage: the Rubjerg Knude(Denmark) lighthouse.
001905367
express
(Au-PeEL)EBL6788010
(MiAaPQ)EBC6788010
(OCoLC)1281957780

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