Determinants of Marketing Performance on Durian Product for Exporting: Study in South of Thailand
Bibliographic record
Abstract
Thailand is the major exporter of durian products worldwide. Durian is the most important fruit and it’s called the king of fruits in Thailand. The economy of Thailand majorly bases on the exporting of durian to other related countries. The major objective of this study to find out the determinants of marketing performance that affect the durian product exporting in the south of Thailand. Respondents of this study are employees working in exporting companies working in the south of Thailand. Data is collected through a drop-down survey method and a questionnaire is used. After it, Smart PLS used for analysis. Results revealed that determinants of marketing performance like (Product capability, Promotion, and Distribution capability) have a positive, significant impact on exporting of durian. Two mediators including attitude towards exporting have a positive effect but the second motivation to export has no effect on durian export. Attitude towards exporting mediates the relationship between distribution capability and exporting of durian. Motivation to export has no mediation between promotion capability and export of durian. The study recommends to exporters that for increasing export to other countries they should focus on marketing performance determinants.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".