Corresponding Manager: Carmine Passavanti (carmine.passavanti@unibg.it)
Track Manager(s): Carmine Passavanti, Pierluigi Rippa, Simonetta Primario, Claudia Spilotro, Giustina Secundo
Description
AI is shifting the barometer of entrepreneurship, accelerating analysis and decision-making in many sectors, but also introducing new technological dependencies and potential biases. In universities, this transition spans the entire entrepreneurial cycle: it changes the way entrepreneurship is taught and learned, modifies the paths through which knowledge becomes enterprise, affects technology transfer and intellectual property management, and redefines the way universities orchestrate ecosystems. The transformation affects the cognitive level (new forms of ideation and decision-making), the organizational level (roles, routines, and skills in teams and TTOs), and the institutional level (rules on data, IP, and accountability).
This track invites theoretical, empirical, and methodological contributions exploring how AI creates value in academic entrepreneurship, and on aligning its promise with integrity and transparency, with particular attention to:
• AI in entrepreneurship education: how does AI affect opportunity recognition, learning outcomes, and ethical judgment in entrepreneurship education?
• AI for academic venture creation: how does AI influence processes and outcomes in academic venture creation?
• AI university ecosystem orchestration: how does AI reshape coordination, inclusion, and governance in university-led entrepreneurial ecosystems?
Keywords
Academic Entrepreneurship; Artificial Intelligence (AI); Technology Transfer; Academic Spin-offs; Entrepreneurial Ecosystem
Key References
1. Secundo, G., Rippa, P., & Cerchione, R. (2020). Digital Academic Entrepreneurship: A structured literature review and avenue for a research agenda. Technological forecasting and social change, 157, 120118.
2. Fossen, F. M., McLemore, T., & Sorgner, A. (2024). Artificial intelligence and entrepreneurship. Foundations and Trends® in Entrepreneurship, 20(8), 781-904.
3. Shepherd, D. A., & Majchrzak, A. (2022). Machines augmenting entrepreneurs: Opportunities (and threats) at the Nexus of artificial intelligence and entrepreneurship. Journal of Business Venturing, 37(4), 106227.
4. Giuggioli, G., & Pellegrini, M. M. (2023). Artificial intelligence as an enabler for entrepreneurs: a systematic literature review and an agenda for future research. International Journal of Entrepreneurial Behavior & Research, 29(4), 816-837.
5. Vecchiarini, M., & Somia, T. (2023). Redefining entrepreneurship education in the age of artificial intelligence: An explorative analysis. The International Journal of Management Education, 21(3), 100879.
Research Partnerships and Promotion Channels
ECSB (European Council for Small Business and Entrepreneurship)
EIASM (European Institute for Advanced Studies in Management)
AiIG (Associazione Italiana Ingegneria Gestionale)