The role of collaborative competitiveness marketing tourism towards sustainable competitive advantage in creative industries in the VUCA era
Bibliographic record
Abstract
This study examines the influence of strategic flexibility, innovation culture, agility, ambidexterity, and open innovation on sustainable competitive advantage, with corporate innovation and collaborative marketing tourism competitiveness as mediating variables. Data was collected directly through structured interviews guided by questionnaires. The research population was 534 registered "craft" creative industry companies including pearls, "Sasak" ikat weaving, and pottery in West Nusa Tenggara Province, Indonesia with the analysis unit being managers or assistant managers. The sampling method used stratified proportional random sampling with a sample size of 240 respondents. Data analysis in this study used descriptive statistics and Covariance-based SEM (Amos software). The findings prove that the eleven hypotheses which stated that there was a direct influence of the variables studied were all confirmed. Strategic flexibility and a culture of innovation play a role in increasing company innovation. Strategic flexibility plays a role in increasing the collaborative competitiveness of marketing tourism. Agility, ambidexterity, and open innovation play a role in increasing sustainable competitive advantage. Corporate innovation and collaborative competitiveness marketing tourism play a role in increasing sustainable competitive advantage. These results are very important to fill the research gap regarding the factors supporting innovation and collaborative competitiveness marketing tourism, and sustainable competitive advantage in Indonesia.
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How this classification was reachedexpand
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".