Understanding the Role of Generative AI in Entrepreneurship and Innovation

Dear Colleagues,

This Special Issue examines the transformative influence of Generative Artificial Intelligence (AI) on entrepreneurship and innovation ecosystems. AI technologies are fundamentally reshaping how enterprises conceptualize opportunities, design innovative solutions, and deliver value to markets and stakeholders. This profound transformation creates a growing need for comprehensive academic research to examine the theoretical, practical, and societal implications of these developments.

Similarly, AI technologies are increasingly influencing the landscape of entrepreneurship education and prompting significant shifts in business school curricula. As generative and predictive AI tools become integral to entrepreneurial practice, higher education institutions are compelled to rethink how they prepare future entrepreneurs.

This issue aims to enhance scholarly understanding of how generative AI facilitates, disrupts, and reconfigures entrepreneurial processes, business model innovation, digital startups, and the broader innovation ecosystem.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (not limited to) the following:

• Artificial Intelligence (AI) Adoption in Entrepreneurship and Innovation;
• Role of AI in Entrepreneurship and Innovation;
• Role of AI in Academic Entrepreneurship;
• Role of AI in Educational Entrepreneurship;
• Role of AI in Entrepreneurship Education;
• Digital Transformation and Entrepreneurship;
• Digital Entrepreneurship;
• International Entrepreneurship;
• Business Model Innovation;
• AI-Driven Startups;
• AI-Powered Product Development;
• Opportunity Recognition and AI;
• AI for Creativity and Ideation in Entrepreneurship and Innovation;
• Entrepreneurial Cognition and Artificial Intelligence (AI);
• Ethical and Social Impact of AI Adoption in Entrepreneurship and Innovation;
• Ethical and Social Impact of AI Adoption in Entrepreneurship Education;
• Future Trends on Technology-Driven Entrepreneurship and Innovation.

Types of Contributions:

• Theoretical and conceptual papers;
• Empirical studies (qualitative, quantitative, or mixed methods);
• Case studies and longitudinal analyses;
• Methodological advancements or design-based approaches;
• Review articles or meta-analyses;
• Policy and practice-oriented perspectives.

We look forward to receiving your contributions.

Dr. Mehtap A. Eklund
Prof. Dr. Laurie Miller
Guest Editors

Manuscript Submission Information

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