The role of competitive advantage in mediating the effect of promotional strategy on marketing 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
The aim of this research is to explain the influence of promotional strategy on improving the competitive advantage of the Tenun Ikat industry in Bali Indonesia and its impact on the marketing performance. To achieve this purpose, 100 people, who are the owners or managers of the Tenun Ikat SME in Bali Indonesia, were selected as sample and analyzed using the structural equation modelling (SEM). The results show that promotional strategy had a positive and significant influence on competitive advantage and promotional strategy was greatly capable of improving the competitive advantage. Furthermore, competitive advantage has a positive and significant influence on marketing performance achievement. This means that with a higher competitive advantage, there is a greater marketing performance and competitive advantage was able to significantly mediate the effect of promotional strategy on marketing performance. The research implications contribute to the owners / managers of the SME by advising so that they implement promotional strategies. This includes advertisement activities, sales promotion, and well-performed promotion through social media to improve the competitive advantage and increase in marketing performance.
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 | 0.006 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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