Insights on Impact of Business Development Services on Growth of Women Owned Enterprises in Tanzania
Bibliographic record
Abstract
This paper presents findings of the study that aimed at assessing the impact of business service providers (BDS) on growth of women owned MSMEs in Tanzania. Based on interviews conducted to five BDS providers and women owned micro and small enterprises (MSMEs) it was revealed that most women entrepreneurs were not aware of the existence of BDS providers and their services. For those who had used BDS, they were generally satisfied with their benefits and they continue using the services. Furthermore, the findings show that BDS assisted entrepreneurs in formalizing their businesses, increased business management and technology capacity, market coverage and contributed to business growth.Findings calls for the government, BDS providers and other key stakeholders to raise the level of awareness to women entrepreneurs on the availability and importance of using of BDSs. Government and donor community should advocate for business environment reforms that lowers the barriers to BDS providers for them to operate effectively and provide affordable services. BDS providers should focus on demand driven services in a more holistic and participatory way than they are currently doing in order to improve the quality, sustainability and development of the women owned MSMEs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".