Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/116341
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | School of Hotel and Tourism Management | en_US |
| dc.creator | Wong, IKA | en_US |
| dc.creator | Zhang, D | en_US |
| dc.creator | Li, YM | en_US |
| dc.creator | Huang, GQI | en_US |
| dc.creator | Sun, D | en_US |
| dc.date.accessioned | 2025-12-18T01:15:28Z | - |
| dc.date.available | 2025-12-18T01:15:28Z | - |
| dc.identifier.issn | 1938-9655 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/116341 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Sage Publications, Inc. | en_US |
| dc.rights | This 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.subject | Deep learning | en_US |
| dc.subject | Hotel | en_US |
| dc.subject | Sentiment analysis | en_US |
| dc.subject | Smart service | en_US |
| dc.subject | Technology innovation | en_US |
| dc.title | Understanding guests’ multisentiment responses to hotel innovation | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.description.otherinformation | Title on author's file: Understanding Guests’ Multi-Sentiment Responses to Hotel Innovation | en_US |
| dc.identifier.doi | 10.1177/19389655251379457 | en_US |
| dcterms.abstract | Technological 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.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Cornell hospitality quarterly, First published online November 10, 2025, OnlineFirst, https://doi.org/10.1177/19389655251379457 | en_US |
| dcterms.isPartOf | Cornell hospitality quarterly | en_US |
| dcterms.issued | 2025 | - |
| dc.identifier.eissn | 1938-9663 | en_US |
| dc.description.validate | 202512 bcch | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | a4220 | - |
| dc.identifier.SubFormID | 52293 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This 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.pubStatus | Early release | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wong_Understanding_Guests_Multisentiment.pdf | Pre-Published version | 860.05 kB | Adobe PDF | View/Open |
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