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The Impact of Artificial Intelligence Advisory Systems on Customers Purchasing Intentions: The Case in Vietnam

Author

Listed:
  • Huy Hung Ta

    (National University, International School)

  • Cong Tuan Dao

    (National University, International School)

  • Huong Ly Nguyen

    (National University, International School)

  • Thi Minh Ngoc Luu

    (National University, International School)

  • Phuong Mai Nguyen

    (National University, International School)

  • Mai Anh Trieu

    (National University, International School)

Abstract

This research’s purpose is to understand how artificial intelligence (AI) advisory systems influence customers’ purchasing intention in e-commerce, specifically focus on Shopee. Building upon the Technology Acceptance Model (TAM) and its extended framework, the study examined the direct effects of systems perceptions toward purchasing decisions, at which point Attitude toward using Shopee mediates the relationship. A survey was conducted among 235 Shopee users in Vietnam through a quantitative method. Data were analyzed using SmartPLS. The results indicate that factors including trust, information quality, trialability, and perceived compatibility affect the customers’ perception in usefulness, ease of use and enjoyment, which in turn shape users’ attitudes and intentions to purchase through Shopee AI advisory systems. The findings also reveal that consumers’ attitude partially mediate the connection between the functional and emotional perception of AI systems with purchase intention, emphasizing these roles in online consumer behavior. Based on these insights, the study provide several implications for both theory and practice.

Suggested Citation

  • Huy Hung Ta & Cong Tuan Dao & Huong Ly Nguyen & Thi Minh Ngoc Luu & Phuong Mai Nguyen & Mai Anh Trieu, 2026. "The Impact of Artificial Intelligence Advisory Systems on Customers Purchasing Intentions: The Case in Vietnam," Springer Proceedings in Business and Economics,, Springer.
    • Handle: RePEc:spr:prbchp:978-981-95-9113-8_36
    DOI: 10.1007/978-981-95-9113-8_36
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