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<p>Generative AI (GenAI) is reshaping entrepreneurship by transforming the landscape of innovation, education, and ethical practices within the entrepreneurial domain. This paper provides a comprehensive review of the nascent yet impactful scholarly discourse on the role of GenAI (e.g., ChatGPT, DeepSeek, and Google Gemini) in entrepreneurship. Drawing from 39 studies, it examines four emerging themes: technology adoption, education and skill development, innovation, and performance enhancement. The analysis highlights GenAI's transformative potential to democratize entrepreneurial resources, foster creativity, and improve decision-making. However, it also identifies pressing challenges, including ethical data practices and equitable access. The paper proposes and presents the GAIN Framework along with five associated research propositions to guide future research in this domain. It concludes by emphasizing the need for a balanced integration of human ingenuity and AI capabilities, while raising critical questions about fostering ethical inclusivity and driving innovation.</p>

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Generative Artificial Intelligence (GenAI) in entrepreneurial education and practice: emerging insights, the GAIN Framework, and research agenda

  • 期刊论文

  • 发表日期：

    2025年3月28日

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  • Yogesh K. Dwivedi

摘要

Generative AI (GenAI) is reshaping entrepreneurship by transforming the landscape of innovation, education, and ethical practices within the entrepreneurial domain. This paper provides a comprehensive review of the nascent yet impactful scholarly discourse on the role of GenAI (e.g., ChatGPT, DeepSeek, and Google Gemini) in entrepreneurship. Drawing from 39 studies, it examines four emerging themes: technology adoption, education and skill development, innovation, and performance enhancement. The analysis highlights GenAI's transformative potential to democratize entrepreneurial resources, foster creativity, and improve decision-making. However, it also identifies pressing challenges, including ethical data practices and equitable access. The paper proposes and presents the GAIN Framework along with five associated research propositions to guide future research in this domain. It concludes by emphasizing the need for a balanced integration of human ingenuity and AI capabilities, while raising critical questions about fostering ethical inclusivity and driving innovation.