Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/113435
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | School of Hotel and Tourism Management | - |
| dc.creator | Chan, J | - |
| dc.date.accessioned | 2025-06-10T01:41:48Z | - |
| dc.date.available | 2025-06-10T01:41:48Z | - |
| dc.identifier.issn | 1537-8020 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/113435 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Routledge | en_US |
| dc.subject | AI-generated image | en_US |
| dc.subject | Food quality | en_US |
| dc.subject | Taste | en_US |
| dc.subject | Vegetarian dining | en_US |
| dc.title | AI-driven visuals : how they shape health and taste preferences in vegetarian dining | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.doi | 10.1080/15378020.2024.2445886 | - |
| dcterms.abstract | This 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. | - |
| dcterms.accessRights | embaroged access | en_US |
| dcterms.bibliographicCitation | Journal of foodservice business research, Published online: 21 Dec 2024, Latest Articles, https://doi.org/10.1080/15378020.2024.2445886 | - |
| dcterms.isPartOf | Journal of foodservice business research | - |
| dcterms.issued | 2024 | - |
| dc.identifier.scopus | 2-s2.0-85212700291 | - |
| dc.identifier.eissn | 1537-8039 | - |
| dc.description.validate | 202506 bcch | - |
| dc.identifier.FolderNumber | a3652 | en_US |
| dc.identifier.SubFormID | 50587 | en_US |
| dc.description.fundingSource | RGC | en_US |
| dc.description.pubStatus | Early release | en_US |
| dc.date.embargo | 2026-06-21 | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
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