IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v9y2025issue-3sp6844-6850.html

Artificial Intelligence, Consumer Behavior, and Online Shopping Practices among Students

Author

Listed:
  • Nestle Michael A. Piasan

    (Liceo de Cagayan University Cagayan de Oro City, Philippines)

  • Edzen A. Espina

    (Liceo de Cagayan University Cagayan de Oro City, Philippines)

  • Nenita I. Prado

    (Liceo de Cagayan University Cagayan de Oro City, Philippines)

Abstract

This study examined the predictive influence of artificial intelligence (AI) and consumer behavior on online shopping practices among senior high school students. A sample of 337 Grade 12 Accountancy, Business and Management (ABM), Humanities and Social Sciences (HUMSS), and Science, Technology, Engineering, and Mathematics (STEM) strands at Liceo de Cagayan University participated in the research. Data were collected using a structured survey questionnaire covering gadget and social media usage, AI knowledge, consumer behavior, and online shopping practices. The study employed descriptive-correlational and causal-comparative designs, with analyses conducted through mean, standard deviation, Pearson correlation, and multiple regression. Results showed high levels of AI knowledge awareness and social media usage, and moderate levels of gadget usage and AI knowledge usefulness. Correlation analysis revealed highly significant positive relationships between online shopping practices and all study variables, with the strongest effects observed for spending habits, buying patterns, and social media usage. Regression analysis further identified consumer behavior as the strongest predictor of students’ online shopping habits. These findings provide practical insights for educators and policymakers in promoting financial literacy and responsible digital consumption among students.

Suggested Citation

  • Nestle Michael A. Piasan & Edzen A. Espina & Nenita I. Prado, 2025. "Artificial Intelligence, Consumer Behavior, and Online Shopping Practices among Students," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3s), pages 6844-6850, August.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-3s:p:6844-6850
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-9-issue-3s/6844-6850.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/articles/artificial-intelligence-consumer-behavior-and-online-shopping-practices-among-students/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aditya Nanda Riandhi & Muhammad Rifqi Arviansyah & Mery Citra Sondari, 2025. "AI and consumer behavior: Trends, technologies, and future directions from a scopus-based systematic review," Cogent Business & Management, Taylor & Francis Journals, vol. 12(1), pages 2544984-254, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcp:journl:v:9:y:2025:issue-3s:p:6844-6850. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.