ARTIFICIAL INTELLIGENCE-DRIVEN TECHNOLOGY AND ENTREPRENEURIAL SKILLS DEVELOPMENT AMONG BUSINESS EDUCATION GRADUATES FROM PUBLIC UNIVERSITIES
Keywords:
Artificial Intelligence, AI-Driven Technologies, Business Education Graduates, Entrepreneurial Skills Development, Public Universities.Abstract
To cite this article (APA): Agbonaye, A. A., & Muhammed, T. M. (2025). Artificial intelligence-driven technology and entrepreneurial skills development among business education graduates from Public Universities. AAU Journal of Business Educators, 5 (1), 278-286.
Abstract
This study examined the current state of artificial intelligence (AI) and entrepreneurial skills development among Business Education graduates in Public Universities in Edo State, Nigeria. A descriptive survey research design was adopted to achieve the central aim of the study. The population comprised 84 graduating students of business education in the 2023/2024 academic session from two Public Universities, namely: University of Benin and Ambrose Alli University. The total population or census sampling was employed to select the entire population for this study. The instrument used for data collection was a structured questionnaire, titled: AI and Entrepreneurial Skills Development among Business Education Graduates from Public Universities. The instrument was subjected to face and content validation to determine its adequacy and appropriateness for its proper wording. To establish the reliability, 20 copies of the instrument were administered on the graduating students of business education who were not part of the study. The data obtained was subjected to a test of internal consistencies of the items in the instrument, using Cronbach’s alpha method, which yielded a coefficient value of 0.81. The research questions were answered using Mean and Standard Deviation. The results showed that that the current state of AI-driven technologies foster the identification of entrepreneurial opportunities, critical thinking and innovation skills development, and digital scalability and growth skills development among Business education graduates from Public Universities in Edo State, Nigeria. The authors of the present study recommended, among others, that management should endevour to establish AI Startup Lab as part of the graduate program were students can prototype and validate by using AI-driven technologies to scale and automate business processes.
Keywords:
References
Ali, M., Khan, T. I., Khattak, M. N., & Şener, İ. (2024). Synergizing AI and business: Maximizing innovation, creativity, decision precision, and operational efficiency in high-tech enterprises, Journal of Open Innovation: Technology, Market, and Complexity, 10 (3). https://doi.org/10.1016/j.joitmc.2024.100352.
Aldosari, S. A. M. (2020). The future of higher education in the light of artificial intelligence transformations. International Journal of Higher Education. 9 (3), 145-151.
Awad, A., Abdelaziz, E., Al-Saadi, A., Alnaqbi, J., & Alnaqbi, S. (2024). Integrating artificial intelligence in entrepreneurship education: A study of higher education institutions in the Middle East. https://doi.org/10.20944/preprints202408.1140.v1
Bialkova, S. (2024). AI transforming business anught, learne, and applied. d everyday life. In The rise of AI user applications: Chatbots integration foundations and trends (pp. 143-165). Cham: Springer Nature Switzerland.
Dabbous, A., & Boustani, N. M. (2023). Digital explosion and entrepreneurship education: Impact on promoting entrepreneurial intention for business students. Journal of Risk and Financial Management, 16(1), 27. https://doi.org/10.3390/jrfm16010027
Dwivedi, Y. K., Hughes, L., Wang, Y., Alalwan, A. A. & Aarts, E. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57. https://doi.org/10.16/j.ijinfomt.2019.08.002
Ead, H. A., Fadlallah, S.A., Hassan, H. M., & Fahmy, H. M. (2022). Critical thinking education in the development of entrepreneurial intentions in science students, Cairo University case study. Journal of the International Academy for Case Studies, 28(S2), 1-16.
Ertel, W. (2024). Introduction to artificial intelligence. Springer Nature.
Familoni, B.T., & Onyebuchi, N. C. (2024). Advancements and challenges in AI integration for technical literacy: a systematic review. Engineering Science & Technology Journal, 5(4), pp.1415-1430.
Godswill Agu, A., & Margaça, C. (2024). Digital transformation and religious entrepreneurship in Nigeria: integrating artificial intelligence toward competitive advantage. African Journal of Economic and Management Studies.
Juliana, N., Hui, H., Clement, M., Solomon, E., & Elvis, O. (2021) The impact of creativity and innovation on entrepreneurship development: Evidence from Nigeria. Open Journal of Business and Management, 9, 1743-1770. https://doi.org/10.4236/ojbm.2021.94095.
Obschonka, M., & Audretsch, D.B. (2020). Artificial intelligence and big data in entrepreneurship: A new era has begun. Small Business Economics, 55, 529-539.
Olatunde-Aiyedun, T. G. (2024). Artificial Intelligence (AI) in education: integration of AI into
science education curriculum in Nigerian Universities. International Journal of Artificial Intelligence for Digital, 1(1).
O'Leary, D. E. (2013). Artificial intelligence and big data. IEEE intelligent systems, 28(2), 96-99.
Pennetta, S., Anglani, F., & Mathews, S. (2024). Navigating through entrepreneurial skills, competencies and capabilities: A systematic literature review and the development of the entrepreneurial ability model. Journal of Entrepreneurship in Emerging Economies, 16(4), 1144-1182.
Ramadani, V., Rahman, M. M., Salamzadeh, A., Rahaman, M. S., & Abazi-Alili, H. (2022). Entrepreneurship education and graduates’ entrepreneurial intentions: Does gender matter? A multi-group analysis using AMOS. Technological Forecasting and Social Change, 180. https://doi.org/10.1016/
Wang, L., & Li, W. (2024) The impact of AI usage on university students’ willingness for autonomous learning. Behavioural Science, 14. https://doi.org/10.3390/bs14100956
Xie, X., Ma, L., & Xu, W. (2022). Exploration and praction of college student’s innovation and entrepreneurship education integrating artificial intelligence knowledge-based outsourcing. https://doi.org/10.48550/arXiv.221205906
