The role of Tri Hita Karana-based business strategy and digital marketing to improve sustainable business performance
Bibliographic record
Abstract
This study aims to explain the role of Tri Hita Karana-based business strategies and digital marketing strategies in improving sustainable business performance. The population of this study was traditional tai-weaving SMEs in Bali. The sample size was 195 managers of traditional ikat weaving SMEs with a purposive sampling method. The analysis technique used is Path Analysis using SEM-PLS. The results show that government and environmental orientation had a positive and significant effect on sustainable business performance, while digital orientation had no significant effect on sustainable business performance. Environmental orientation had a positive and significant effect on Tri Hita Karana's business strategy, and environmental orientation had an insignificant effect on digital marketing strategy. Furthermore, Tri Hita Karana's business and digital marketing strategies positively and significantly affected sustainable business performance. Therefore, it is essential for traditional tai-weaving SMEs in Bali to intensify the implementation of Tri Hita Karana and digital marketing strategies to improve sustainable business performance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".