The mediating effect of technology innovation on intellectual capital performance: Evidence from Indonesian SMEs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this study is to empirically examine the role of technology innovation on the influence of intellectual capital on SMEs performance. Resources based view and stakeholder theory underlies this research. Primary data was collected using a survey method from 399 culinary business SMEs managers spread throughout Bali. The number of samples is determined using the Slovin formula. In this study, the partial least squares structural equation model (PLS-SEM) was applied to be tested for validity and reliability. The results of the study show that human capital, structural capital and customer capital have a significant positive effect on technology innovation. Human capital has no effect on SMEs’ performance, but structural capital and customer capital have no significant effect on SMEs performance. Technology innovation has a significant effect on SMEs’ performance. Furthermore, technology innovation can mediate the influence of human capital, structural capital and customer capital on SMEs performance.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it