The role of international networking to mediate internet technology capabilities and international entrepreneurship orientation to export performance
Bibliographic record
Abstract
The purpose of this study is to explain the role of international networks in mediating the effect of internet technology capabilities and international entrepreneurship orientation on export performance. The population of this research is creative industry SMEs that have been exporting for at least the last 3 years in Bali. The size of the sample used was 170 managers of creative industry SMEs exporters with a purposive sampling method. The analytical technique used is Path Analysis using SEM-PLS. The results show that the internet technology capabilities have a positive and significant effect on export performance. International entrepreneurship orientation also has a positive and significant impact on export performance. Furthermore, the internet technology capabilities have a positive and significant impact on international networking; international entrepreneurship orientation also has a positive and significant impact on international networking; and international networking affects export performance. In addition, international networking is able to mediate the effect of internet technology capabilities and international entrepreneurship orientation on export performance. Therefore, it is important for SMEs of creative industry exporters in Bali to develop their internet technology capabilities and improve their international entrepreneurial orientation in order to be able to build wider international networks and have an impact on increasing export performance.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".