The impact of organizational capability, external networking, entrepreneurism, competitive advantage, and corporate social responsibility (CSR) on performance
Bibliographic record
Abstract
This study aims to examine how Mother and Child Hospital (RSIA) Type C performance in East Java with a population of 67 owners is affected by organizational competency, external networking, entrepreneurism, competitive advantage, and corporate social responsibility (CSR). The results of the eight hypotheses using partial least squares (PLS) are as follows: 1) Organizational ability has a big and favorable impact on business performance. The hypothesis has been accepted. 2) The external network has a small but positive impact on company performance. 3) Entrepreneurial mindset has a favorable and significant impact on business performance. The hypothesis has been accepted. 4) Competitive Advantage is influenced by organizational capability in a favorable and meaningful way. The hypothesis has been accepted. 5) External networking contributes to competitive advantage in a positive and important way. The hypothesis has been accepted. 6) Entrepreneurial orientation affects competitive advantage in a favorable and important way. The hypothesis has been accepted. 7) Competitive advantage has a major and favorable impact on business performance. The hypothesis has been accepted. 8) Competitive advantage has little effect on Corporate Performance when CSR is regulated. The hypothesis was disproved.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".