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Ai Driven Innovative Business Models

Study of Women-Owned Micro-Enterprises in India

Bibliographic Data

ID22198345
AuthorsLeena Sharad Shimpi (Babasaheb Bhimrao Ambedkar University), S K Srivastava (0000-0002-8749-5135, United States Department of Commerce), Raman Srivastava (0000-0003-1792-7868, University of Lucknow), Aishwarya Awasthi (University of Lucknow), Vanshita Mishra (University of Lucknow)
Year2024
Volume5
Issue6
Publication date2024-06-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueShodhKosh: Journal of Visual and Performing Arts (JOURNAL)
Journal identifiersISSN: 2582-7472 • E-ISSN: 2582-7472
PublisherGranthaalayah Publications and Printers (PUBLISHER • IN)
DOI10.29121/shodhkosh.v5.i6.2024.6158
OpenAlexW4413461549
LanguageEN
References cited14

Fostering entrepreneurship, women empowerment and innovation in small business has been key focus in the recent times. With adoption of artificial intelligence (AI)-driven business models, the success stories of AI driven business models have surfaced recently. These businesses are not only examples of innovation and empowerment, they are also sustainable. Present study had adopted a qualitative, exploratory multiple-case study methodology. Each AI driven business model, selected for the present study, employs context-specific AI tools—from predictive diagnostics and performance analytics to ethical data labor platforms—creating scalable, inclusive, and economically empowering solutions. Notably, in India, these models are equipping rural women with digital tools, financial access, and skill development, thereby generating employment, enhancing public health, and enabling community-based education and sports enterprises. The results of this study also highlight that how AI-driven innovation, when ethically and locally applied, can foster resilient, grassroots entrepreneurship among women

Business · Industrial organization · Indian Economic and Social Development · Innovation and Socioeconomic Development

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Citation velocityhistorical
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