Networking capability as a moderator of resourced based view, market orientation, information technology, and effectuation on SMEs internationalization
Bibliographic record
Abstract
The purpose of this study was to determine the effect of resourced based view, market orientation, implementation of information technology, effectuation and networking capability on the internationalization of Small and Medum Enterprises (SMEs) and the indirect influence between these variables with networking capability as a moderator. The research method uses a quantitative approach. The population and sample in this study are SMEs throughout East Java, Indonesia that have made efforts to internationalize, with data obtained from the Export Center Surabaya office, which is an institution formed by the East Java Provincial Trade Service and the Indonesian Chamber of Commerce. 1346 SMEs were recorded at the Export Center Surabaya office and a sample of 300 SMEs was obtained. The analysis technique used in this study is SEM PLS, which is to determine validity, reliability, and hypothesis testing. The results of the study show that resourced based view, market orientation, information technology implementation, effectuation and networking capability on SMEs internationalization have a positive and significant effect. Networking capability as a moderator can strengthen the influence of resourced based view and market orientation towards the internationalization of SMEs. Meanwhile, in the effectuation and implementation of information technology relationship with SMEs internationalization, networking capability as a moderator is in a weak position, that is it produces a negative coefficient, with a t-statistic value greater than the t-table.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".