IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/22993_25.html
   My bibliography  Save this book chapter

Leveraging AI to accelerate and improve business models

In: Annals of Entrepreneurship Education and Pedagogy - 2025

Author

Listed:
  • Mark McNees

Abstract

This chapter is a practical approach to leveraging artificial intelligence (AI) to assist student founders in producing better business models. The key points cover the potential of generative AI and natural language processing (NLP) in streamlining tasks such as opportunity identification, market analysis, and business model design and validation. The chapter also explores the ethical implications of AI in entrepreneurship education, underlining the crucial role of human creativity in this process. The overall contention of the chapter stresses the importance of introducing students to the strategic integration of AI tools that will assist them in achieving better business outcomes while valuing and nurturing their unique creative abilities.

Suggested Citation

  • Mark McNees, 2025. "Leveraging AI to accelerate and improve business models," Chapters, in: Susana C. Santos & Sharon A. Simmons (ed.), Annals of Entrepreneurship Education and Pedagogy - 2025, chapter 25, pages 351-357, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:22993_25
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/doi/10.4337/9781035325795.00035
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Business and Management; Teaching Methods;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:elg:eechap:22993_25. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.