The community Walmart uncertainty model: A review of ownership and capital structure aspects
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
The purpose of this study was to determine the role of the ideal aspects of ownership structure and capital structure in determining the uncertainty model of operational of Walmart. This type of research is an explanatory survey using qualitative and quantitative approaches. The qualitative method is carried out by descriptive analysis by conducting a field survey using a questionnaire designed in such a way. Respondents of this study were the 78 managers of the community minimart in Medan City, North Sumatera, Indonesia who were selected by purposive sampling method. Meanwhile, the quantitative method was carried out using SEM PLS analysis by analyzing the indicators of aspects of ownership structure, capital structure and dimensions of operational success. The results show that the capital structure variable had a significant effect on Walmart's operational success. Meanwhile, the ownership structure variable had no significant effect on Walmart's operational success. The novelty that is produced from this research is that the success of community self-service is determined by the capital structure. Capital is an obstacle faced by community supermarkets because with limited capital it is difficult for community supermarkets to expand their business.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it