Éditeurs invités
- Victor Tiberius, University of Potsdam
- Alhamzah Al Sayed Noor, |
- Mumtaz Ali Memon, |
Synthèse
This special issue examines how agentic AI systems—capable of perceiving context, planning, using tools, and learning with limited supervision—transform entrepreneurship across all venture development stages. Unlike passive technologies, agentic AI acts as an active co-agent in entrepreneurial decision-making.
The call recognizes both opportunities and risks. Agentic AI can enhance opportunity recognition, market analysis, and strategic decisions while reducing information gaps. However, it poses risks including overdependence, algorithmic bias, accountability gaps, and threats to entrepreneurial autonomy and identity.
The special issue welcomes empirical and theoretical studies from emerging and advanced economies exploring when agentic AI enables value creation versus creating risks. It encourages theoretical connections with entrepreneurship theories and methodologically diverse research including experiments, qualitative studies, and computational methods.
Thèmes proposés
- Agentic AI and opportunity recognition
- Entrepreneurial decision-making under uncertainty
- Human-AI co-agency and entrepreneurial judgment
- New venture creation with agentic AI
- AI-native startups and autonomous venture development
- Business model innovation
- Venture scaling, growth, and internationalisation
- Entrepreneurial exit decisions
- Agentic AI benefits: speed, efficiency, creativity, resource mobilisation
- Agentic AI risks: bias, dependency, autonomy loss, accountability
- Entrepreneurial cognition, identity, and creativity
- Trust, resistance, and adoption of agentic AI
- Entrepreneurial ecosystems
- Emerging economies and resource-constrained contexts
- Comparative studies across emerging and advanced economies
- Sustainable and inclusive entrepreneurship
- Governance and responsible use of agentic AI
- Methodological approaches for studying agentic AI and entrepreneurship