Impact Mechanism of AI-Driven Content Marketing on Purchase Intentions: The Moderating Role of Education

Grounded in the Technology Acceptance Model and Information Processing Theory, this study empirically examines the impact mechanisms of AI-driven content marketing characteristics (creative efficiency, recommendation accuracy, and interactive immersion) on purchase intention through a questionnaire survey, and explores the moderating effect of education level. The results indicate that: (1) AI-driven content marketing characteristics have a significant but non-uniform impact on purchase intention, with creative efficiency and interactive immersion positively influencing purchase intention, while recommendation accuracy does not show a significant effect; (2) Education level significantly moderates the relationship between interactive immersion and purchase intention, with lower-educated groups being more sensitive to immersive experiences, but no significant moderating effect on creative efficiency and recommendation accuracy is found. The study reveals the heterogeneous nature of technology-enabled effects: the effectiveness of AI marketing depends not only on the match between technological features and user experience but is also constrained by user cognitive inertia.

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Published
2025-03-28
DOI
https://doi.org/10.1145/3745238.3745428
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

Impact Mechanism of AI-Driven Content Marketing on Purchase Intentions: The Moderating Role of Education

Yaxian Wang, Zhi Tang, Qingjiao Chen
Technology Adoption and User Behaviour
article

Impact Mechanism of AI-Driven Content Marketing on Purchase Intentions: The Moderating Role of Education

Yaxian Wang, Zhi Tang, Qingjiao Chen
article en

Abstract

Grounded in the Technology Acceptance Model and Information Processing Theory, this study empirically examines the impact mechanisms of AI-driven content marketing characteristics (creative efficiency, recommendation accuracy, and interactive immersion) on purchase intention through a questionnaire survey, and explores the moderating effect of education level. The results indicate that: (1) AI-driven content marketing characteristics have a significant but non-uniform impact on purchase intention, with creative efficiency and interactive immersion positively influencing purchase intention, while recommendation accuracy does not show a significant effect; (2) Education level significantly moderates the relationship between interactive immersion and purchase intention, with lower-educated groups being more sensitive to immersive experiences, but no significant moderating effect on creative efficiency and recommendation accuracy is found. The study reveals the heterogeneous nature of technology-enabled effects: the effectiveness of AI marketing depends not only on the match between technological features and user experience but is also constrained by user cognitive inertia.

Guangxi University of Finance and Economics (CN)
Quality Education
Openalex Percentile: Top 81%
Technology Adoption and User Behaviour
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Impact Mechanism of AI-Driven Content Marketing on Purchase Intentions: The Moderating Role of Education — Yaxian Wang, Zhi Tang, et al. · (2025) | TGRS Research Map | TGRS