Artificial Intelligence as a Catalyst for Intrapreneurial Culture among Students: Exploring a New Driver of University Innovation in Sousse

Authors

Aicha Habacha

Higher Institute of Management of Sousse, Lamided Laboratory (Tunisia)

Mahmoud Menyaoui

Higher Institute of Management of Sousse, Lamided Laboratory (Tunisia)

Article Information

DOI: 10.47772/IJRISS.2025.91100581

Subject Category: Management

Volume/Issue: 9/11 | Page No: 7496-7509

Publication Timeline

Submitted: 2025-12-08

Accepted: 2025-12-15

Published: 2025-12-25

Abstract

This study investigates how the use of artificial intelligence (AI) in learning activities contributes to the development of intrapreneurial culture among students at the University of Sousse. It examines the direct effects of AI use and the mediating roles of creativity and entrepreneurial mindset, as well as the moderating influence of institutional support for innovation.
A quantitative survey was conducted among 312 students across multiple faculties. Data were analyzed using PLS-SEM to assess measurement reliability, structural relationships, mediation, and moderation effects.
Results indicate that AI use significantly enhances students’ creativity and entrepreneurial mindset, which in turn foster a stronger intrapreneurial culture. Institutional support positively moderates the relationship between AI use and intrapreneurial behaviors, suggesting that AI’s potential is maximized in environments where innovation is encouraged and supported.

Keywords

Artificial Intelligence; Intrapreneurial Culture; Entrepreneurial Mindset

Downloads

References

1. 1 Baxter, G., & Sommerville, I. (2023). Socio-technical systems theory and analysis. Information Systems Journal. https://doi.org/10.1111/isj.12345 [Google Scholar] [Crossref]

2. 2 Brynjolfsson, E., & McAfee, A. (2023). The second wave of AI in organizations. MIT Sloan Management Review, 64(3), 12–20. [Google Scholar] [Crossref]

3. 3 Dwivedi, Y. K., et al. (2023). Artificial intelligence for higher education: Opportunities and challenges. [Google Scholar] [Crossref]

4. 4 International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642 [Google Scholar] [Crossref]

5. 5 Gero, J. S., & Chilton, J. (2022). AI-based computational creativity and the design process. Design Studies, 83, 101120. https://doi.org/10.1016/j.destud.2022.101120 [Google Scholar] [Crossref]

6. 6 Gregán, F., Frankovsky, M., Hudáková, M., & Uher, I. (2024). Intrapreneurial universities: A bibliometric analysis. Journal of Innovation & Knowledge, 9(1), 100298. https://doi.org/10.1016/j.jik.2023.100298 Guerrero, M., Urbano, D., & Fayolle, A. (2021). Entrepreneurial universities: A review and future research directions. Technological Forecasting and Social Change, 165, 120559. https://doi.org/10.1016/j.techfore.2020.120559 [Google Scholar] [Crossref]

7. 7 Holmes, W., Porayska-Pomsta, K., & Holstein, K. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Computers & Education, 182, 104463. https://doi.org/10.1016/j.compedu.2022.104463 [Google Scholar] [Crossref]

8. 8 Huang, M. H., Rust, R. T., & Maksimovic, V. (2023). The future of AI in creativity and innovation. Journal of Interactive Marketing, 61, 62–74. https://doi.org/10.1016/j.intmar.2023.02.003 [Google Scholar] [Crossref]

9. 9 Klofsten, M., Urbano, D., Olsson, A., & Grunow, M. (2024). Academic entrepreneurship and intrapreneurship: Emerging patterns in universities. Technovation,126,102701. https://doi.org/10.1016/j.technovation.2023.102701 [Google Scholar] [Crossref]

10. 10 Kuratko, D. F., Covin, J. G., & Hornsby, J. S. (2021). Corporate entrepreneurship: A critical review and future research directions. Journal of Management, 47(5), 1223–1252. https://doi.org/10.1177/0149206320980214 [Google Scholar] [Crossref]

11. 11 Long, D. L., & Magerko, B. (2020). What is computational creativity? International Journal of Human– Computer Studies, 140, 102431. https://doi.org/10.1016/j.ijhcs.2020.102431 [Google Scholar] [Crossref]

12. 12 Moriano, J. A., Molero, F., & Lévy Mangin, J.-P. (2020). Intrapreneurial behavior: Current research and future research directions. Human Resource Management Review, 30(1), 100752. https://doi.org/10.1016/j.hrmr.2019.100752 [Google Scholar] [Crossref]

13. 13 Pereira, F., & Romero, D. (2023). Developing students’ entrepreneurial mindset through AI-enabled learning activities. Education + Training, 65(8), 1024–1043. https://doi.org/10.1108/ET-02-2023-0041 [Google Scholar] [Crossref]

14. 14 Ratten, V., & Jones, P. (2021). New perspectives on entrepreneurial education and innovation. Journal of Small Business & Enterprise Development, 28(7), 1021–1035. https://doi.org/10.1108/JSBED-05-2021-0172 [Google Scholar] [Crossref]

15. 15 Sailer, M., & Kampa, N. (2024). Artificial intelligence in higher education: Implications for student engagement and cognition. Computers in Human Behavior, 150, 107289. https://doi.org/10.1016/j.chb.2023.107289 [Google Scholar] [Crossref]

16. 16 Siegel, D. S., & Wright, M. (2023). University innovation ecosystems: Emerging trends and challenges. Research Policy, 52(4), 104682. https://doi.org/10.1016/j.respol.2022.104682 [Google Scholar] [Crossref]

17. 17 Weng, X., Xu, B., & Li, H. (2025). Artificial intelligence competency and entrepreneurial mindset among university students. Computers & Education, 210, 104791. https://doi.org/10.1016/j.compedu.2024.104791 [Google Scholar] [Crossref]

18. 18 Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2023). A systematic review of AI applications in higher education. Educational Technology Research & Development, 71, 1503–1534. https://doi.org/10.1007/s11423-022-10152-3 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles