Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113435
DC FieldValueLanguage
dc.contributorSchool of Hotel and Tourism Managementen_US
dc.creatorChan, Jen_US
dc.date.accessioned2025-06-10T01:41:48Z-
dc.date.available2025-06-10T01:41:48Z-
dc.identifier.issn1537-8020en_US
dc.identifier.urihttp://hdl.handle.net/10397/113435-
dc.language.isoenen_US
dc.publisherRoutledgeen_US
dc.subjectAI-generated imageen_US
dc.subjectFood qualityen_US
dc.subjectTasteen_US
dc.subjectVegetarian diningen_US
dc.titleAI-driven visuals : how they shape health and taste preferences in vegetarian diningen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1080/15378020.2024.2445886en_US
dcterms.abstractThis study explores the impact of AI-generated images on consumer motivation to choose vegetarian restaurants, addressing concerns about food quality, taste, and nutrition. Using Expectancy-Value Theory, two studies are conducted: Study 1 examines the effects of specific types of AI-generated images, and Study 2 investigates the interaction between image type and consumer preference on purchase intention. Results show that taste-driven consumers prefer realistic images, while health-conscious consumers favor hand-drawn ones. This research contributes to understanding AI’s role in marketing by demonstrating how different AI-generated images influence consumer behavior and preferences in the context of vegetarian dining.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationJournal of foodservice business research, Published online: 21 Dec 2024, Latest Articles, https://doi.org/10.1080/15378020.2024.2445886en_US
dcterms.isPartOfJournal of foodservice business researchen_US
dcterms.issued2024-
dc.identifier.scopus2-s2.0-85212700291-
dc.identifier.eissn1537-8039en_US
dc.description.validate202506 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera3652-
dc.identifier.SubFormID50587-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusEarly releaseen_US
dc.date.embargo2026-06-21en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Status embargoed access
Embargo End Date 2026-06-21
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