SUSTAINABILITY PERFORMANCE OF INFORMAL MICRO-ENTERPRISES: THE CASE OF SENEGAL
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
This study empirically investigates the relationship between entrepreneurial competencies and sustainability performance. It also explores the direct effects of financial capital, human capital, social capital, government support and business environment on sustainability performance of micro-enterprises operating in the informal sector. The study is conducted within the context of Senegal and through the lens of resource-based view theory. Employing a cross-sectional design, data is collected from randomly selected micro and small entrepreneurs operating in the informal sector. The outcomes include a positive effect of opportunity recognition competency, commitment competency and government support on the sustainability performance of micro-enterprises. An Importance Performance Matrix analysis indicates that these factors are the most important factors determining sustainability performance of micro-enterprises within the context of the informal sector. The findings extend the scope of RBV while simultaneously enhancing the knowledge and understanding pertaining to the interplay of entrepreneurial competencies and sustainability performance, particularly for small business operators in the informal sector. Implications are drawn to theory development, practice and public policy.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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