Role of Financial Banks in Promoting the Entrepreneurship: A Mixed Methodology Approach from Kingdom of Saudi Arabia
Bibliographic record
Abstract
The issue of getting finances for the small businesses and entrepreneurs is always been in debate and remain unresolved in many countries due to unavailability of qualified venture capitalists. The developing and emerging economies set the micro finance banks for this purpose, however, it is argued that the owner and entrepreneur faces many problems like collaterals, documentation, etc. This research focuses on the role of financial banks in promoting the small business and entrepreneurial culture in the Saudi Arabia in providing credit. The research applied a mixed methodology and at the first stage, qualitative data is collected and then the results of these structured interviews were used to construct a survey questionnaire for the quantitative analysis. The result of study shows that the levels of business cooperation and information sharing and quality of business have an important significance on the success of loan application. Furthermore, the results also support that the bureaucracy of bank in terms of loan documents requirement and loan evaluation procedure can make small business hesitate when applying for loans.
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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 | 0.017 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".