Non-Financial Performance of Micro Credit Entrepreneurs: Does Personal Religious Values Matters?
Bibliographic record
Abstract
Two main objectives namely motivate this study: Firstly, to explore the profile of successful entrepreneurs who are recipient of micro credit financing from both Lembaga Zakat Selangor (LZS) and Amanah Ikhtiar Malaysia (AIM). The second objective intends to empirically investigate the possible relationship between the personal religious values and non-financial performance of the entrepreneurs. The microcredit entrepreneurs in Selangor that have been into entrepreneurial activities for at least five years are the targeted respondents. The numbers of respondents were determined through the snow ball sampling technique. The dependent variable in this study is thus represented by the non-financial performance indicator while the independent variables consist of 24 items that serve as indicator for the personal religious values. The result of multiple regression analysis (stepwise method) indicated revealed significant relationship of all the factors to the non-financial performance of LZS and AIM with the exception of truth and right variable. Based on the result, some recommendations were proposed together with the limitation of study that suggest possible prospect for further research.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".