Strategic orientation and the performance of SMEs in Indonesia: The mediating role of access to finance
Bibliographic record
Abstract
This paper gives insight about the association between market orientation, entrepreneur orientation, learning orientation, technological orientation and access to finance, and SME's performance in Indonesia. The study provides a clear understanding about the relationships among SME's performance in Indonesia and market orientation, entrepreneur orientation, learning orientation, technological orientation, and what mediating role financial access plays in this relationship. The study broached that it is apparently essential to identify the strategic variables which may reflect the aforementioned management activities or processes, such as marketing, innovativeness, risk taking, technology and learning culture, which SMEs use and that probably influence their performance. The study is among the pioneering studies on the issues related to the market orientation, entrepreneur orientation, learning orientation, technological orientation, and access to finance in Indonesia. The study uses SEM-PLS as statistical tool to answer the research questions raised in this study and research objectives envisaged in the current study. The findings of the current study have provided support to with the hypothesized results. The study has argued that to deal with the current external opportunities and menaces, new knowledge and skills for improving their existing and future performances must be provided for the organizations. The study will be helpful for policymakers and researchers in examining the link between market orientation, entrepreneur orientation, learning orientation, technological orientation, and access to finance in Indonesia performance of SMEs in Indonesia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".