IDEAS home Printed from https://ideas.repec.org/a/bjf/ijltem/v14y2025i8a1596.html

Understanding Micro-Scale Urban Women Entrepreneurs’ Awareness and Use of Generative AI: Implications for Business Performance, Innovation, and Growth

Author

Listed:
  • Dr. Gandhali Divekar

    (Indira Research Center, Pune)

  • Dr. Pandit Mali

    (Indira Research Center, Pune)

Abstract

This study investigates how exposure to Artificial Intelligence (AI) influences women entrepreneurs’ business strategies, performance, and innovation potential. Adopting a mixed-methods design—a combination of quantitative surveys and qualitative interviews—this paper examines adoption levels of GenAI tools among women-led ventures, associated barriers (e.g., technology literacy, bias, privacy concerns), and business outcomes. Data sources include academic literature, industry reports (e.g., Nasscom‑BCG), and government-backed initiatives in India. Results indicate that despite high interest (e.g., women constitute ~30% of GenAI enrolments in India), adoption remains limited by structural and cultural impediments. However, where applied, AI adoption correlates with scaling faster, improved decision-making, and enhanced access to networks. Recommendations include targeted AI upskilling initiatives, ecosystem support, and policy interventions to reduce gendered digital divides.

Suggested Citation

  • Dr. Gandhali Divekar & Dr. Pandit Mali, 2025. "Understanding Micro-Scale Urban Women Entrepreneurs’ Awareness and Use of Generative AI: Implications for Business Performance, Innovation, and Growth," International Journal of Latest Technology in Engineering, Management & Applied Science, RSIS International, vol. 14(8), pages 160-163, August.
  • Handle: RePEc:bjf:ijltem:v:14:y:2025:i:8:a:1596
    DOI: 10.51583/IJLTEMAS.2025.1408000020
    as

    Download full text from publisher

    File URL: https://www.ijltemas.in/submission/online/article/view/2613/2722
    Download Restriction: no

    File URL: https://www.ijltemas.in/submission/online/article/view/2613
    Download Restriction: no

    File URL: https://libkey.io/10.51583/IJLTEMAS.2025.1408000020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:bjf:ijltem:v:14:y:2025:i:8:a:1596. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://www.ijltemas.in/ .

    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.