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- W4385585873 abstract "Due to LPG and continued growth in the Indian start-up industry, an increasing number of women are coming forefront and adding to the entrepreneurship segment of India. Creating a business from the beginning stage of conceiving the ideas, till its final stage and also surviving in long run as a profitable venture is a challenging task basically for women. Again these entrepreneurs have to take care of almost all business activities by themselves which starts with starting from brainstorming and vetting potential ideas, setting goals, planning a project, analyzing a product etc. Women Entrepreneurs are seen as key drivers of the economic expansion of each country irrespective of their development status. Despite their significant contributions, it’s most important that they remain a small subset of business owners. This investigation into minority groups like women entrepreneurs is an attempt to identify the driving forces behind the rise of female business owners and the challenges they faced and their significant contribution to achieving their economic growth. Machine Learning, Descriptive statistics of ANOVA were used to pinpoint many factors that contribute to the success of women business owners of the Kandhamal District of Odisha. This study’s findings can guide the government, other institutional networks and support agencies in developing a constructive plan of action and policies to assist women entrepreneurs to succeed in the future and to enhance their ability to overcome their challenges." @default.
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- W4385585873 date "2023-01-01" @default.
- W4385585873 modified "2023-09-24" @default.
- W4385585873 title "A Machine Learning Approach for Entrepreneurial Competencies and Economic Growth of Women Entrepreneurs from Kandhamal District" @default.
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- W4385585873 doi "https://doi.org/10.1007/978-981-99-3177-4_23" @default.
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