Do digital marketing, integrated supply chain, and innovation capability affect competitiveness, and creative industry performance?
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
This study tried to explain the effect of digital marketing, supply chain integration, and innovation capabilities in increasing competitiveness and creative industries performance. There were three creative industry business sectors as units of analysis, namely culinary, craft and fashion sectors. A quantitative approach was used through a survey of 163 creative industries located in five regions i.e.: Makassar City, ParePare City, Wajo Regency, Tana Toraja Regency and North Toraja Regency. While respondents were business owners, managers, and supervisors. Descriptive statistics, and structural equation modelling as a method of analysis. Results showed that digital marketing and integrated supply chain significantly influences competitiveness as well as creative industry performance. Meanwhile, innovation capability significantly influences competitiveness, but not significantly on creative industry performance. This study also proved that competitiveness significantly affected creative industry performance. In addition, this study also confirmed that competitiveness mediated partially on effect digital marketing and integrated supply chain toward business performance and mediated fully on effect innovation capability toward business performance, primarily in the context of creative industry development.
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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 | 0.005 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| 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