IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v10y2026i3p1-33.html

The Influence of AI Competence, Grit, and Prosocial Behavior on Collaboration Skills among Future Business Professionals in a Private University in Cebu, Philippines

Author

Listed:
  • Maura L. Peña

    (College of Education- Graduate Teacher Education, Cebu Technological University – Main Campus, Cebu City)

  • Vicel T. Villoria

    (College of Education- Graduate Teacher Education, Cebu Technological University – Main Campus, Cebu City)

  • Irrish B. Abellanosa

    (College of Education- Graduate Teacher Education, Cebu Technological University – Main Campus, Cebu City)

  • Myra Flor G. Cagas

    (College of Education- Graduate Teacher Education, Cebu Technological University – Main Campus, Cebu City)

  • Morgan Jr. E. Fuertes

    (College of Education- Graduate Teacher Education, Cebu Technological University – Main Campus, Cebu City)

Abstract

This study assessed the relationship between collaboration skills and artificial intelligence (AI) competence, grit, and prosocial behavior among Bachelor of Science in Business Administration students at a private university during the 2024–2025 academic year. It aimed to develop a career intervention plan to enhance students’ AI competence, grit, prosocial behavior, and collaboration skills, thereby preparing them to meet evolving industry demands. A total of 150 third-year Marketing Management and Operations Management students at the University of San Jose-Recoletos completed survey questionnaires. AI competence was measured using the Artificial Intelligence Literacy Scale (AILS; Wang, 2022), grit with the Triarchic Model of Grit Scale (TMGS; Datu, 2017), collaboration skills via the Entry-Level Interprofessional Questionnaire (ELIQ; Pollard, 2004), and prosocial behavior using the Prosociality Scale (Kanacri, 2021). Data were analyzed using frequency count, percentage, weighted mean, and regression analysis. Most respondents were between 18 to 23 years old, lived with both parents, and had 1 to 3 siblings. Regarding birth order, the majority were youngest, while combined family monthly income varied, with the largest group earning above PHP 76,700. Respondents were predominantly female, reflecting a young, diverse, and family-oriented population with varying socio-economic backgrounds. Results indicated good overall collaboration skills, with interprofessional learning rated excellent; AI competence and grit were good, while adaptability and prosocial behavior were excellent. Regression analysis revealed that grit, prosocial behavior, and AI competence significantly predicted collaboration skills, with grit as the strongest predictor. Based on the findings and conclusion, a career intervention plan is proposed for adoption.

Suggested Citation

  • Maura L. Peña & Vicel T. Villoria & Irrish B. Abellanosa & Myra Flor G. Cagas & Morgan Jr. E. Fuertes, 2026. "The Influence of AI Competence, Grit, and Prosocial Behavior on Collaboration Skills among Future Business Professionals in a Private University in Cebu, Philippines," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(3), pages 1-33, March.
    • Handle: RePEc:bcp:journl:v:10:y:2026:i:3:p:1-33
    as

    Download full text from publisher

    File URL: https://rsisinternational.org/journals/ijriss/uploads/vol10-iss3-pg1-33-202603_pdf.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/view/the-influence-of-ai-competence-grit-and-prosocial-behavior-on-collaboration-skills-among-future-business-professionals-in-a-private-university-in-cebu-philippines/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chiho Ok & Myeongcheol Choi & Hann Earl Kim, 2025. "The Effect of Psychological Safety Climate on Voice Behavior in Chinese Technology Innovation Companies: Focusing on the Moderating Effect of Guanxi with Team Leaders," Sustainability, MDPI, vol. 17(15), pages 1-22, August.
    2. Kensbock, Julia M., 2025. "Reaching out or going it alone? How birth order shapes networking behavior and entrepreneurial action in the face of obstacles," Journal of Business Venturing, Elsevier, vol. 40(2).
    3. Shana L. Pribesh & Jane Smith Carson & Mikaela J. Dufur & Yuanyuan Yue & Kathy Morgan, 2020. "Family Structure Stability and Transitions, Parental Involvement, and Educational Outcomes," Social Sciences, MDPI, vol. 9(12), pages 1-14, December.
    4. Hermundur Sigmundsson & Monika Haga & Magdalena Elnes & Benjamin Holen Dybendal & Fanny Hermundsdottir, 2022. "Motivational Factors Are Varying across Age Groups and Gender," IJERPH, MDPI, vol. 19(9), pages 1-13, April.
    5. Lena Ivannova Ruiz-Rojas & Luis Salvador-Ullauri & Patricia Acosta-Vargas, 2024. "Collaborative Working and Critical Thinking: Adoption of Generative Artificial Intelligence Tools in Higher Education," Sustainability, MDPI, vol. 16(13), pages 1-23, June.
    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.
    1. John Rhay T. Comeda & Francis Kenneth Canono & Harry Dwight Jim L. Padar & Nick Louis A. Piloy & Gian V. Zamudio & Karl Cedrick T. Sumampong & Mier Mckyle M. Ichon & Precy L. Resuento, 2025. "Behind the Frame: Family Representations in Metro Manila Film Festival Posters," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(6), pages 2967-2982, June.
    2. Atef M. Ghaleb & Mokhtar Ali Amrani & Raad Abdo M. Al Selwi & Hanaa A. Hebah & Mogeeb A. Saeed & Sobhi Mejjaouli, 2024. "Socioeconomic Status as a Predictor of the Academic Achievement of Engineering Students in Taiz State, Yemen," Societies, MDPI, vol. 14(12), pages 1-20, November.
    3. Ping Liang & Haimei Li & Peng Feng, 2024. "The influence of care types on the development of orphans——An empirical study from China," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-14, October.
    4. Magdalena Elnes & Hermundur Sigmundsson, 2023. "The General Flow Proneness Scale: Aspects of Reliability and Validity of a New 13-Item Scale Assessing Flow," SAGE Open, , vol. 13(1), pages 21582440231, February.
    5. Hermundur Sigmundsson & Jan E. Ingebrigtsen & Benjamin H. Dybendal, 2023. "Well-Being and Perceived Competence in School Children from 1 to 9 Class," IJERPH, MDPI, vol. 20(3), pages 1-13, January.

    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:10:y:2026:i:3:p:1-33. 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.