The Role of Stakeholder Pressure in Enhancing Green Innovation Performance: The Moderating Role of Green Culture
Bibliographic record
Abstract
The issue of sustainability has received much attention from scholars, experts, and the community, along with the need for a more environmentally-friendly business practice.The purpose of this study is to analyze how and when stakeholder pressure can lead to green innovation performance in Indonesian MSMEs, mainly in several provinces on Java Island.We consider the mediating role of green HRM to bridge the relationship, as well as the moderating role of green culture.Using quantitative approach, we distributed online questionnaire towards 280 MSMEs actors determined by purposive sampling method.The data obtained is analyzed using Structural Equation Modeling with Partial Least Squares.The findings indicate that stakeholder pressure can influence green environmental performance both directly and indirectly through the mediating role of GHRM.In addition, green culture is also found to moderate the influence of stakeholder pressure on green innovation performance, that the relationship is stronger when green culture in the MSMEs is held high.
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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 | 0.009 |
| 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 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".