The influence of organizational culture, owner characteristics, government intervention, on entrepreneurial orientation and its implications for business performance in MSMEs in the culinary field
Bibliographic record
Abstract
The aim of this research is to analyze the influence of organizational culture, owner characteristics, government intervention on entrepreneurial orientation and its implications for business performance among MSME actors in the culinary sector in Bogor City, West Java Province, Indonesia. The sample in this study was 196 respondents consisting of MSMEs operating in the food sector that had been running for at least 6 months. Sampling technique using random sampling. Data collected through questionnaires was then analyzed using SEM-PLS. Research findings based on data analysis that have been carried out show that Organizational Culture has a positive and significant influence on the Entrepreneurial Orientation of MSME Actors in the Culinary Sector in the City of Bogor; Owner Characteristics have a positive and significant influence on the Entrepreneurial Orientation of MSME Actors in the Culinary Sector in the City of Bogor; Government intervention has a positive and significant effect on the Entrepreneurial Orientation of MSMEs in the Culinary Sector in the City of Bogor; Organizational culture has a positive and significant effect on business performance among MSME actors in the culinary sector in the city of Bogor; Owner characteristics have a positive and significant influence on business performance among MSME actors in the culinary sector in the city of Bogor; Government intervention has a positive and significant effect on business performance among MSME actors in the culinary sector in the city of Bogor; Entrepreneurial Orientation has a positive and significant effect on Business Performance among MSMEs in the Culinary Sector in the City of Bogor; Organizational Culture has a positive and significant effect on Business Performance through entrepreneurial orientation for MSMEs in the Culinary Sector in Bogor City; Owner characteristics have a positive and significant influence on business performance through entrepreneurial orientation for MSME actors in the culinary sector in the city of Bogor; Government intervention has a positive and significant effect on business performance through entrepreneurial orientation for MSME actors in the culinary sector in Bogor City, West Java Province, Indonesia.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".