The association between entrepreneurship, management, and sustainable development in the middle east: A systematic review and meta-analysis
Bibliographic record
Abstract
The study of entrepreneurship continues to expand as a field of enquiry and remains one of the most attractive realms of research in the field of management science. This study follows an evidence-based research approach and conducts a systematic review and meta-analysis on the entrepreneurship, management, and sustainable development in entrepreneurial firms working in the Middle East. The study has conducted a bibliometric search for outlining the systematic and empirical evidence on entrepreneurship, management, and sustainable development, and to examine the relevant literature from the particular domain, followed by PRISMA guidelines. Total of 25 articles were extracted dated from 2006 to 2020. One of the potential aspects regarding entrepreneurship, management, and sustainable development in the region was the introduction of entrepreneurial led family businesses that unlock the potential of the region. The rapid urbanization and population growth in the Middle East have put massive pressures on their environments. Entrepreneurship had a significant and positive impact on both sustainable development and management. Influenced by the entrepreneurial ecosystem, the Middle Eastern countries showed a dynamic performance at a macro level. This systematic review and meta-analysis provide information on the current state of the empirical entrepreneurship, management, and sustainable development literature.
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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 | 0.028 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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".