Contribution of Organizational Learning and Market Orientation on Business Unit Performance Mediated by Job Satisfaction at Dairy Cattle Milk Cooperatives in East Java, Indonesia
Bibliographic record
Abstract
Dairy cattle milk cooperatives in East Java has been threatened to be failure in achieving the target of Milk Self-Capacity By 2020. The reason of this failure threat is low productivity among dairy cattle milk entrepreneurs. Productivity is closely related with performance of dairy cattle milk business units, but this performance is affected by factors such as organizational learning, market orientation and job satisfaction. The objective of this research is to understand the contribution of organizational learning and market orientation on business unit performance through mediation of job satisfaction. This research is designed to use quantitative approach. The causal relationship across research variables is examined with Structural Equation Modeling-Partial Least Squares (SEM-PLS). Research population is 52 dairy cattle milk cooperatives in East Java. Sampling method is simple random sampling, and after using this sampling to populaton, it results in a sample of 46 cooperatives. Data are collected through questionnaire. Questions on questionnaire are made and processed with Software SmartPLS Version 3.27. Research has given some results: (1) Organizational Learning and Market Orientation have a positive contribution to the increase of Job Satisfaction; (2) Organizational Learning and Market Orientation do not have a positive contribution to the increase of Business Unit Performance; and (3) Job Satisfaction has a positive contribution to the increase of Business Unit Performance at dairy cattle milk cooperatives in East Java.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".