Role of AI in Enhancing Work Efficiency and Opportunities for Women Employees in Micro Firms in Jaipur: A Systematic Literature Review
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Abstract
The increasing adoption of Artificial Intelligence (AI) presents transformative potential for micro‐enterprises, particularly in enhancing operational efficiency and expanding employment opportunities for women. This systematic literature review examines published research on AI applications within small‐scale business environments, with a special focus on women‐owned micro firms in Jaipur, India. Following PRISMA 2020 guidelines, 265 records were identified via Scopus using keywords related to women’s entrepreneurship and AI; after screening and eligibility filtering, 55 open‐access journal articles were included for in‐depth analysis. The review synthesizes findings across five thematic areas: AI‐driven task automation and decision support; digital literacy and capacity building; gender‐sensitive employment patterns; infrastructural and policy challenges; and sustainable development outcomes. Key insights reveal that AI tools—ranging from machine learning algorithms in inventory management to natural language processing in customer engagement—significantly improve workflow productivity (e.g., reducing manual processing time by up to 40%) and enable flexible, remote work arrangements that better accommodate women’s socio‑cultural needs. However, gaps remain in infrastructure readiness, digital awareness, and inclusive policy frameworks, which hinder equitable AI adoption. The study underscores the necessity of targeted interventions—such as subsidized AI training programs, public–private partnerships to upgrade micro‑enterprise infrastructure, and gender‑responsive regulatory policies—to realize AI’s full benefits for women entrepreneurs. By mapping current evidence and identifying critical barriers, this review provides a foundational roadmap for researchers, policymakers, and practitioners aiming to leverage AI for inclusive economic growth in Jaipur’s micro‑enterprise sector.
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