How AI Tools Reshape Work and Stimulate Intrapreneurial Behavior: Insights from Tunisian and North African Startups
Authors
Lamided Research Laboratory – University of Sousse (Tunisia)
Lamided Research Laboratory – University of Sousse (Tunisia)
Article Information
DOI: 10.47772/IJRISS.2025.91100469
Subject Category: Management
Volume/Issue: 9/11 | Page No: 5945-5957
Publication Timeline
Submitted: 2025-12-04
Accepted: 2025-12-10
Published: 2025-12-18
Abstract
This study examines how artificial intelligence (AI) tools reshape work practices and foster intrapreneurial behavior within startups in Tunisia and North Africa. Using a qualitative multiple-case research design, data were collected from 24 semi-structured interviews across eight AI-adopting startups. The findings show that AI stimulates intrapreneurship through three key mechanisms: (1) work reconfiguration and cognitive relief generated by task automation; (2) enhanced opportunity recognition resulting from AI-driven insights; and (3) increased confidence and speed in problem-solving through predictive and simulation capabilities. The study also highlights that organizational culture—particularly autonomy, openness, and psychological safety—moderates the extent to which employees turn AI-enabled insights into innovative actions. This research contributes to digital transformation and intrapreneurship literature by identifying AI as a catalyst for cognitive, structural, and behavioral change. It offers practical guidance for leaders seeking to leverage AI to strengthen internal innovation in emerging-market contexts.
Keywords
Artificial intelligence (AI) ; Intrapreneurial behavior ; Digital transformation
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References
1. Azis, Y., Putri, A. N., & Aprilianti, D. (2022). Intrapreneurship as a driver of innovation performance in emerging economies. Journal of Entrepreneurship in Emerging Economies, 14(6), 1234–1254. [Google Scholar] [Crossref]
2. Brynjolfsson, E., & McAfee, A. (2023). The second wave of AI transformation. Management Science, 69(3), 1457–1474. [Google Scholar] [Crossref]
3. Colbert, A., Yee, N., & George, G. (2022). The digital workforce and the augmentation of human capabilities. Academy of Management Annals, 16(2), 435–468. [Google Scholar] [Crossref]
4. Dwivedi, Y. K., et al. (2021). Artificial intelligence for societal good: Opportunities, challenges, and research agenda. International Journal of Information Management, 60, 102383. [Google Scholar] [Crossref]
5. Eisenhardt, K. M., & Graebner, M. E. (2007). Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50(1), 25–32. [Google Scholar] [Crossref]
6. El Chaarani, H., Raimi, L., & El Abiad, Z. (2023). Digital transformation and innovation in North African startups. Technological Forecasting and Social Change, 191, 122497. [Google Scholar] [Crossref]
7. George, G., Haas, M. R., & McGahan, A. M. (2020). Big data and management. Academy of Management Journal, 63(3), 887–893. [Google Scholar] [Crossref]
8. Gielnik, M. M., Bledow, R., & Stark, M. S. (2020). A dynamic account of creativity and entrepreneurship. Journal of Applied Psychology, 105(2), 119–140. [Google Scholar] [Crossref]
9. Hornsby, J. S., Holt, D. T., Kuratko, D. F., & Wales, W. J. (2020). Assessing a measurement model of corporate entrepreneurship. Journal of Business Venturing, 35(5), 106041. [Google Scholar] [Crossref]
10. Huang, M.-H., & Rust, R. (2021). Artificial intelligence in service: A research agenda. Journal of Service Research, 24(1), 3–21. [Google Scholar] [Crossref]
11. Keding, C. (2021). What impact does artificial intelligence have on marketing? Journal of Business Research, 124, 311–316. [Google Scholar] [Crossref]
12. Kraus, S., Clauss, T., Breier, M., Gast, J., Zardini, A., & Tiberius, V. (2021). The digital transformation of entrepreneurship. Review of Managerial Science, 15(4), 1023–1045. [Google Scholar] [Crossref]
13. Kraus, S., Filser, M., & Niemand, T. (2022). Research on digital transformation in emerging economies: A systematic review. International Business Review, 31(6), 102064. [Google Scholar] [Crossref]
14. Kuratko, D. F., Hornsby, J. S., & Hayton, J. (2021). Corporate entrepreneurship and competitive advantage. Journal of Business Venturing Insights, 16, e00287. [Google Scholar] [Crossref]
15. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage. [Google Scholar] [Crossref]
16. Moriano, J. A., Topa, G., Molero, F., & Mangin, J.-P. L. (2020). Transformational leadership and intrapreneurship. International Entrepreneurship and Management Journal, 16, 259–287. [Google Scholar] [Crossref]
17. Nambisan, S., Wright, M., & Feldman, M. (2019). The digital innovation era: Opportunities and challenges for entrepreneurship research. Research Policy, 48(8), 103788. [Google Scholar] [Crossref]
18. Nambisan, S., Lyytinen, K., & Yoo, Y. (2023). Digital technologies and organizational innovation: Reframing the field. MIS Quarterly, 47(1), 1–18. [Google Scholar] [Crossref]
19. Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: A review and framework for future research. Academy of Management Annals, 15(2), 630–676. [Google Scholar] [Crossref]
20. Rigtering, J. P. C., & Weitzel, T. (2013). Work environment and intrapreneurship. Entrepreneurship Theory and Practice, 37(1), 67–92. [Google Scholar] [Crossref]
21. Tarafdar, M., Beath, C. M., & Ross, J. W. (2023). Automation, augmentation, and the future of work: Emerging research opportunities. MIT Sloan Management Review, 64(3), 42–49. [Google Scholar] [Crossref]
22. Von Krogh, G. (2021). Artificial intelligence in organizations: New opportunities for value creation. Journal of Management Studies, 58(3), 547–552. [Google Scholar] [Crossref]
23. Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage. [Google Scholar] [Crossref]
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