Entrepreneurship in Morocco: An Empirical Study of Motives, Barriers, and Determinants of Success
Bibliographic record
Abstract
Small and Medium-sized Enterprises (SMEs) play an important role in Morocco’s economy in terms of job creation and GDP. It is therefore essential to better understand how SMEs are created and developed in order to render the economy more resilient. This research attempted to identify Moroccan entrepreneurs’ motives for self-employment, which determinants of success they saw as most important, and which obstacles they identified as major business threats. In that perspective, a questionnaire derived from the literature was administered to a sample of 245 Moroccan entrepreneurs. Results revealed that Moroccan entrepreneurs were primarily motivated by economic, or extrinsic goals, by opposition to intrinsic goals such as a desire for autonomy and independence. Moroccan entrepreneurs were also more likely to favor success variables related to personal characteristics such as business training, field experience and marketing skills, while the lack of reliable personnel, strong competition, and a weak economy were perceived as major barriers to entrepreneurial success.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".