Year: 2025
Type: article
Study design: Observational Study
Abstract: Type of the article: Research Article AbstractBy altering how people evaluate information, utilize technology, and make purchasing decisions, Artificial Intelligence (AI) is transforming the way customers shop online. This study aims to examine the mediating role of attitudes toward AI in the relationship between cognitive and psychological factors and online purchase decisions. A mixed-methods design with two phases was used. To improve and culturally validate the measurement items, five marketing and e-commerce specialists were interviewed in May 2025 as part of the qualitative phase of the study. During the quantitative phase, customers in Ho Chi Minh City who regularly shop on major e-commerce platforms were invited to complete a structured online survey between June 1 and July 15, 2025. A self-administered online questionnaire disseminated via Facebook and Zalo yielded 458 valid responses. Respondents were selected because they frequently interact with AI-enabled features, such as recommendation systems, chatbots, and personalized interfaces, making them highly relevant to the study’s objectives. SmartPLS 4.0 and SPSS 26.0 were used to analyze the data. Cronbach’s Alpha, EFA, CFA, and PLS-SEM were used to confirm reliability, convergent validity, and discriminant validity. The results indicate that Attitude toward AI are significantly influenced by Perceived Usefulness (PU), Ease of Use, Trust, and Enjoyment. The desire to make an online purchase is strongly positively impacted by attitude (β = 0.327; p < 0.001; R2 = 0.135). These findings emphasize the importance of enhancing trust, usability, and emotional value in AI-driven e-commerce settings by highlighting the crucial role that customer attitudes play in shaping AI-related perceptions into buying intentions. AcknowledgmentThe author sincerely thanks all the respondents who participated in the survey. Besides, heartfelt gratitude is extended to all stakeholders for their valuable support and assistance, which made a significant contribution to the completion of this research.
Source: Innovative Marketing
Author: Le Thi Kim Hoa
Institution: Industrial University of Ho Chi Minh City
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $641
OpenAlex ID: W4417487631