Analyzing Inter-Organization Communication between Customer and Supplier of Subsidized Paddy Fertilizer
Bibliographic record
Abstract
Inter-Organization Communication (IOC) is a commonly used communication discipline to communicatebetween and among organizations. This paper aimed to investigate elements of IOC theories of communicationmanagement used between a local farmer union (PPK) and subsidised fertilizer suppliers based on theperspectives of the PPK. This study employed a quantitative method through a survey using questionnaireswhich were distributed to a total of 192 representatives of 63 PPKs from granary areas. The findings revealedtwo essential indicators to support inter-organizational communication; communication willingness andcommunication commitment. This study will be useful for both scholars and practitioners in furtherunderstanding the current situation of communication in subsidized fertilizer industry in Malaysia. Further studyon another variables in IOC and the relationship between components/variables involved would be beneficial onexpanding knowledge of inter-organizational communication.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".