Determinants of SME export performance
Bibliographic record
Abstract
The purpose of the current study was to investigate the determinants of small and medium manufacturing enterprises' export performance empirically in the context of Pakistan.The study adopted survey method to collect forty-five (45) responses from small and medium manufacturing firms through E-mail survey.The study produced four determinants of SME export performance, such as entrepreneurial orientation (EO), total quality management (TQM), business network (BN) and export market orientation (EMO).Thus, internal consistency reliability and discriminant validity were examined of the study instruments through panel expert's opinion and the small sample size was investigated using statistical software SPSS-21 and smartPLS-3.The results of the study confirmed that scale reliability and validity and moreover, current study found a positive relationship between TQM and SME export performance.On the other hand, the study also found insignificant relationship between EO, BN, EMO and SME export performance.Furthermore, the study recommended future study should validate the current study research framework on large sample size.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".