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http://hdl.handle.net/10397/113435
| Title: | AI-driven visuals : how they shape health and taste preferences in vegetarian dining | Authors: | Chan, J | Issue Date: | 2024 | Source: | Journal of foodservice business research, Published online: 21 Dec 2024, Latest Articles, https://doi.org/10.1080/15378020.2024.2445886 | 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. | Keywords: | AI-generated image Food quality Taste Vegetarian dining |
Publisher: | Routledge | Journal: | Journal of foodservice business research | ISSN: | 1537-8020 | EISSN: | 1537-8039 | DOI: | 10.1080/15378020.2024.2445886 |
| Appears in Collections: | Journal/Magazine Article |
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