Export entrepreneurship and green product uniqueness orientation on export performance of Indonesian small and medium enterprises
Bibliographic record
Abstract
This paper attempts to explore the drivers of green export performance by considering case studies in Indonesian small and medium enterprises (SMEs). Conceptually, the uniqueness of green products and export entrepreneurship is proposed as an antecedent of green export performance. The ability to exploit the capacity of green products is used as an antecedent for the uniqueness of green products, while competitive capacity and market explorative capacity are considered as an antecedent of export entrepreneurship. 383 exporters in Indonesia are involved in this research. Using Structural Equation Modeling with AMOS statistical software, findings show that the capacity of exploitative green products and the capacity of green product exploitation had a significant impact on the uniqueness of green products. The competitive capacity and explorative capacity of market distance have positive significant effects on export entrepreneurship. Moreover, the uniqueness of green products has a significant positive effect on export entrepreneurship and on green export performance. This finding indicates the importance of exploiting green products to improve export performance by SMEs in Indonesia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".