Changing Behaviours and Its Theories to Achieve the Desire for Entrepreneurship in Future Generations in the UAE and Gulf Region
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Gulf region has been emerging as a prosperous hub of entrepreneurship and commercial innovation and is, at present, portraying continuous development. The success of this region is due to several different factors such as the size of the region, youth generation; digital economy; and its progressive access to technology. This study is a literature review and adopts a five-stage process to recruit studies that align with the aim of this study. The data was collected from journal articles, blogs, government websites, and articles from Google Scholar, Proquest, EBSCO, and EconLit. A total of 31 journal articles were reviewed and analyzed. This paper (1) identified variations in entrepreneurial activities, attitudes and perceptions, and aspirations among UAE youth; (2) explored factors defining the nature and level of UAE entrepreneurial work; and (3) presented the potential of entrepreneurship through education in the UAE; (4) need to strengthen technological transfers to entrepreneurial approach and networking opportunities. Initiatives taken by the UAE government in supporting entrepreneurial development were also presented and emphasized. Entrepreneurs are observed as a core aspect that encourages creativity and innovation, generates employment opportunities, and brings prosperity to society. This paper emphatically focuses on entrepreneurship research by presenting policy implications to improve UAE’s entrepreneurship in the country’s economy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it