Artificial Intelligence for Sustainable Women Entrepreneurship: A Systematic Literature Review and Future Research Agenda

This study examines the role of Artificial Intelligence (AI) in advancing sustainable women entrepreneurship through a Systematic Literature Review (SLR). The review addresses the growing intersection of artificial intelligence, women entrepreneurship, and sustainability, where existing research remains fragmented across separate research streams. Following the PRISMA 2020 framework, the study systematically reviews peer-reviewed journal articles published between 2015 and 2026 and indexed in Scopus and Web of Science. A thematic synthesis approach is employed to identify major research trends, theoretical perspectives, methodological developments, and emerging research gaps. The findings indicate that AI can contribute significantly to sustainable women entrepreneurship by supporting digital innovation, financial inclusion, entrepreneurial capability development, sustainable business practices, business resilience, collaborative digital ecosystems, and institutional development. However, the literature remains conceptually fragmented and geographically concentrated in developed economies. Important gaps remain concerning responsible AI governance, AI readiness, sustainability measurement, ethical AI implementation, digital inclusion, and empirical evidence from developing countries. Based on the findings, the study proposes an integrated conceptual framework positioning AI capability as a key driver of sustainable women entrepreneurship through digital innovation, entrepreneurial capability, and business resilience, while highlighting the moderating roles of AI readiness and institutional support. The study also presents a future research agenda intended to guide researchers, practitioners, and policymakers in advancing AI-enabled sustainable women entrepreneurship.