Victor Tiberius, University of Potsdam

Alhamzah Al Sayed Noor, |

Mumtaz Ali Memon, |

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.

Appel publié par Journal of Entrepreneurship in Emerging Economies. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• 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

Timeline

• September 1, 2026: Opening date for manuscript submissions
• December 1, 2026: Closing date for manuscript submissions

Entrepreneurship education must adapt to rapid technological change, as emerging innovations like AI, blockchain, and immersive platforms are fundamentally transforming how entrepreneurs identify opportunities, develop prototypes, and scale businesses. While these technologies offer unprecedented pedagogical potential through simulations and gamified learning, many educational programs continue using traditional, Western-centric approaches that prioritize information delivery over experiential learning.

This special issue addresses the urgent need to critically examine how entrepreneurship education can effectively integrate emerging technologies while remaining responsive to the entrepreneurial realities students will face. The issue is particularly relevant for emerging economies, where digital tools can overcome infrastructure limitations and resource constraints to democratize access to quality entrepreneurship education, though success requires institutional capacity building, thoughtful curriculum design, and supporting policies.

Appel publié par Journal of Entrepreneurship in Emerging Economies. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Emerging Technologies in Entrepreneurship Education - Application of AI, VR/AR, blockchain, and IoT in entrepreneurship teaching; effectiveness of technology integration in resource-limited settings; impact of digital tools on student engagement and learning outcomes; role of gamification and simulation in developing entrepreneurial competencies
• Institutional Integration and Capacity Building - Organizational capabilities enabling technology adoption; leadership and faculty preparedness; university-industry collaboration models; digital infrastructure development; government policies and regulatory frameworks; creating entrepreneurial ecosystems beyond traditional classrooms
• Curriculum Design and Assessment Innovation - Assessment methods for technology-integrated learning environments; addressing generative AI in student evaluation; metrics for measuring impact on learning outcomes and business creation; longitudinal studies on career development; cost-effectiveness evaluation; educator training and professional development models

Timeline

• April 1, 2026: Opening date for manuscript submissions
• September 30, 2026: Closing date for manuscript submissions