Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116341
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dc.contributorSchool of Hotel and Tourism Managementen_US
dc.creatorWong, IKAen_US
dc.creatorZhang, Den_US
dc.creatorLi, YMen_US
dc.creatorHuang, GQIen_US
dc.creatorSun, Den_US
dc.date.accessioned2025-12-18T01:15:28Z-
dc.date.available2025-12-18T01:15:28Z-
dc.identifier.issn1938-9655en_US
dc.identifier.urihttp://hdl.handle.net/10397/116341-
dc.language.isoenen_US
dc.publisherSage Publications, Inc.en_US
dc.rightsThis is the accepted version of the publication Wong, I. A., Zhang, D., Li, Y. M., Huang, G. I., & Sun, D. (2025). Understanding Guests’ Multisentiment Responses to Hotel Innovation. Cornell Hospitality Quarterly, 0(0). Copyright © 2025 The Author(s). DOI: 10.1177/19389655251379457.en_US
dc.subjectDeep learningen_US
dc.subjectHotelen_US
dc.subjectSentiment analysisen_US
dc.subjectSmart serviceen_US
dc.subjectTechnology innovationen_US
dc.titleUnderstanding guests’ multisentiment responses to hotel innovationen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author's file: Understanding Guests’ Multi-Sentiment Responses to Hotel Innovationen_US
dc.identifier.doi10.1177/19389655251379457en_US
dcterms.abstractTechnological innovation has been consistently acknowledged as the driving force for organizational success and a potential means of fostering positive customer emotions. Drawing on technological determinism, this mixed-methods research takes a step further to assess the sociotechnical dynamics of technology within a hotel innovation process on the basis of customers’ emotional responses. Study 1 analyzes the influence of hotel innovation activities on consumers’ multisentiment traits by gauging online reviews of a smart hotel using deep learning. Furthermore, to diagnose changes in sentiments that correspond to changes in hotel innovations, we adopted a longitudinal design to contrast pre- and postinnovation stages. Study 2 takes a qualitative approach to unlock the reasons that lie behind the mixed positive and negative sentiment responses to changes. The evidence from this investigation points to the double-edged impact of innovation. More importantly, they reflect technological somnambulism—in which customers do not seem to be sufficiently conscious of their choice of technology—highlighting the peril of the smart service encounter turning a hospitality oasis with rich human interactions into an artificial intelligence (AI)–dominated environment.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationCornell hospitality quarterly, First published online November 10, 2025, OnlineFirst, https://doi.org/10.1177/19389655251379457en_US
dcterms.isPartOfCornell hospitality quarterlyen_US
dcterms.issued2025-
dc.identifier.eissn1938-9663en_US
dc.description.validate202512 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera4220-
dc.identifier.SubFormID52293-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research is supported by the National Natural Science Foundation of China (No. 72004239, 72074230), the University of Macau Start-Up Grant (SRG2023-00024-FBA), and PolyU of the Hong Kong Special Administrative Region, China (Project No. P0053689, P0048566).en_US
dc.description.pubStatusEarly releaseen_US
dc.description.oaCategoryGreen (AAM)en_US
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