Research on the Impact of Artificial Intelligence Generated Content on Consumer Willingness

This study explores the application effect of Artificial Intelligence (AI) generated content in hotel marketing. Using a 2×2 experimental design, the effects of artificial and Artificial Intelligence sources, product introduction and event promotion type copywriting on consumers’ booking intention are compared. Through the data analysis of the questionnaire, it is found that there is no significant difference in the overall impact between AI copywriting and artificial copywriting, but consumers’ trust in AI technology significantly affects their consumption preferences. Regression analysis shows that trust and acceptance of AI are important predictors of booking intention. This study shows that among Generation Z consumers, AI-generated content has a broad acceptance basis and provides a theoretical basis and practical suggestions for hotel brands to use AI for content production. At the same time, it also points out limitations such as sample limitations and situation simplification. Future research can further expand this topic by introducing real behavioral data and multi-level samples.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-13
DOI
https://doi.org/10.1051/shsconf/202522501035/pdf
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the Impact of Artificial Intelligence Generated Content on Consumer Willingness

Springer Link (Chiba Institute of Technology)
AI in Service Interactions
article

Research on the Impact of Artificial Intelligence Generated Content on Consumer Willingness

article en

Abstract

This study explores the application effect of Artificial Intelligence (AI) generated content in hotel marketing. Using a 2×2 experimental design, the effects of artificial and Artificial Intelligence sources, product introduction and event promotion type copywriting on consumers’ booking intention are compared. Through the data analysis of the questionnaire, it is found that there is no significant difference in the overall impact between AI copywriting and artificial copywriting, but consumers’ trust in AI technology significantly affects their consumption preferences. Regression analysis shows that trust and acceptance of AI are important predictors of booking intention. This study shows that among Generation Z consumers, AI-generated content has a broad acceptance basis and provides a theoretical basis and practical suggestions for hotel brands to use AI for content production. At the same time, it also points out limitations such as sample limitations and situation simplification. Future research can further expand this topic by introducing real behavioral data and multi-level samples.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 20%
AI in Service Interactions
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