An Analysis in Encouraging and Promoting Women to turn into Entrepreneurs by Developing their Entrepreneurial Skills in Abu Dhabi (U.A.E)
Bibliographic record
Abstract
The main aim of this study is to examine the Female entrepreneurship skills which motivate them to turn into a successful female entrepreneur. United Arab Emirates has always welcomed Women's no matter what color, religion, language sex or nationalities. Being the safest place on earth United Arab Emirates has always given special respect and place for Women in all sectors The main functions of a women entrepreneurs is to explore the prospects of starting a new venture, Undertake risks, handle the risks and economic uncertainty which happens in business, innovate new ideas and technologies, Coordinate administer, control Supervise and possess to be a good leader. At present United Arab Emirates is welcoming and opening new opportunities for Women's to explore their ideas here. United Arab Emirates is a welcoming landscape for startups. United Arab Emirates has a diverse economy which is a very huge opportunity for an entrepreneur. In Abu Dhabi, Last decade Women Entrepreneurs have been recognized as the untapped source of economic growth. However they still represent a minority of all entrepreneurs. Many authors have examined the Women entrepreneurs but up to date no studies has been conducted in Promoting Women entrepreneurship skills in United Arab Emirates. This may be because of the lack of information's. The research aims to focus in encouraging and promoting Women Entrepreneurs by developing their entrepreneurial skills which will turn them to become a successful. This research study will adopt ethnological nature of design. This study is predominantly based on primary data. This study collected information from primary data and secondary data also for the best effective way to make the study convenient personal interview or structured and unstructured interview will be framed for the collection of data from the sample women entrepreneurs. The collected data will be arranged, classified and organized as per the logic, similarities, uniqueness and methodology. The collected data will be analyzed using statistical package for social science software (SPSS). It's a software to manage the data and calculate a wide statistical data's. A pilot test will also be carried out to check the feasibility and reliability of the structured interview. The study adopted statistical tool Chi Square Test. The study also uses Correlation and ANOVA tool for analysis. The study further discusses the ways to improve the skills by Development, motivation and training programs. Women entrepreneur has been observed as a major source of knowledge about women's entrepreneurship and they are increasingly recognized as a valuable tool for its development and promotion. Women entrepreneur is related to both women's position in society and role of entrepreneurship in the same society. Women entrepreneurs must be taken seriously at individual level( the choice of becoming self-employed) and at the firm level( the performance of women owned and managed firms).The study also discussed about the training programs, in which models are considered to study into the relationship between the Women entrepreneurs, entrepreneurship skills, and the market. This study concluded that if the women is motivated more and encouraged will surely lead to become a successful women entrepreneur in United Arab Emirates, promoting the economic growth of the country and increasing employment opportunities and setting up example showing the women are no lesser than man and se. Noting is impossible for women also. The author thus submitting a theoretical study of Encouraging and promoting women entrepreneurs by developing their skills in United Arab Emirates .Only if the Entrepreneurial Skills are developed and focused on, the Women entrepreneurs can develop into a successful Entrepreneurs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".