Assessing the Elements That Mediate the Impact of Innovation on Business Performance: Moderate Accreditation Ranking and Competitive Advantage
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
Vocational higher education is higher education that prepares for employment with specific applied skills that are approximately equivalent to a bachelor's degree. Furthermore, vocational training is described as the provision of formal courses in higher education, such as technology colleges and diploma programs. The existence of vocational higher education is expected to reduce unemployment. The goal of the study is to investigate how competitive advantage and the accreditation standing of private Vocational Higher Education Institutions (VHEI) affect the effects of product and marketing innovation on company success. This research methodology uses quantitative methods, using the Structural Equation Model Smart PLS version 14.1 technique. The research population was 118 private VHEIs in West Java Province, Indonesia, and the respondents were 126 leaders and representatives of private VHEIs. According to the research, competitive advantage is significantly boosted by both product and marketing innovation. Product and marketing innovation, which is monitored by private VHEI certification ranking and mediated by competitive advantage, have a major beneficial impact on corporate success.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it