IJARSAI Int. J. Adv. Res. Sci. Anal. Infer.
Digital Empowerment of Women Entrepreneurs: Assessing the Impact of Training Programmes on Digital Marketing and Artificial Intelligence Integration in Tourism Business
Neenu Raj
Research Scholar
Government Arts & Science College
Kangeyam, Tiruppur
Affiliated to Bharathiyar University
Tamil Nadu, India
Email: neenu.raaj@yahoo.com
Dr. P. Komaraswamy
Associate Professor and Head Department of Business Administration
Chikkaiah Government Arts & Science College
Erode, Tamil Nadu, India
Email: pkskv2006@gmail.com
The rapid change across the world economy has opened fresh chances for entrepreneurs, especially those working in tourism. Still, women entrepreneurs often struggle to reach digital tools and use them effectively. This study looks at how training helps women entrepreneurs gain digital power, especially through digital marketing and the use of artificial intelligence in tourism businesses. Using past research, the paper shows that organised training helps people build digital skills, use online marketing more confidently, and adopt AI tools like chatbots, data analysis, and personal customer support. The study argues that training can boost business results by building digital skills and encouraging innovation. It also points to big obstacles, like not having enough technology, tight budgets, and missing skills, that could slow down digital adoption. The results show that women entrepreneurs in tourism need training that’s specific, inclusive, and tailored to their situation, so they can use digital tools to grow sustainably and stay competitive. Digital empowerment helps women entrepreneurs use digital marketing and AI in tourism.
Keywords: Digital Empowerment, Women Entrepreneurs, Digital Marketing, Artificial Intelligence, Tourism Industry How to Cite:Raj, Neenu., & Komaraswamy, P. (2026). Digital empowerment of women entrepreneurs: Assessing the impact of training programmes on digital marketing and artificial intelligence integration in tourism business. IJARSAI International Journal of Advanced Research Scientific Analysis & Inferences, 2(1), 115–124. https://doi.org/10.5281/zenodo.20676098
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