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@article{192404,
        author = {Dr.A.Kaboor and Mrs. J.Remeeja Behum},
        title = {EMPOWERING WOMEN ENTREPRENEURSHIP THROUGH ARTIFICIAL INTELLIGENCE: AN ANALYTICAL STUDY ON ITS IMPACT IN BUSINESS DEVELOPMENT AND SCALABILITY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {1074-1080},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192404},
        abstract = {The rapid advancement of artificial intelligence (AI) has created new opportunities for entrepreneurial empowerment, particularly for women entrepreneurs seeking sustainable business growth and scalability. This study examines the role of AI in empowering women entrepreneurship and analytically investigates its impact on business development and scalability. Adopting a quantitative research design, primary data were collected from 250 women entrepreneurs actively using AI-enabled and digital tools. The study employs a rigorous multivariate analytical framework comprising Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM) to validate the measurement model of AI-driven entrepreneurial empowerment and to examine the structural relationships among key constructs.
The findings reveal that AI adoption emerges as a significant and multidimensional determinant of entrepreneurial empowerment among women entrepreneurs. The validated measurement model demonstrates strong reliability, convergent validity, and model fit, confirming the robustness of the proposed framework. Structural results further indicate that AI-driven entrepreneurial empowerment significantly enhances business development outcomes and positively influences business scalability. The study contributes to the existing literature by providing empirically validated insights into how AI functions as a strategic enabler rather than a mere technological tool in women-led enterprises. From a practical perspective, the results emphasize the need for inclusive digital policies, targeted skill development, and supportive ecosystems to maximize the empowerment potential of AI for women entrepreneurs.},
        keywords = {Artificial Intelligence, Women Entrepreneurship, Entrepreneurial Empowerment, Business Development, Business Scalability},
        month = {February},
        }