From the adaptation capacity to pioneering behavior in companies in the main cultural tourist destinations: Divergent effects of the dynamism of the environment
Bibliographic record
Abstract
The present investigation analyzes how the dynamism of the environment affect the relationship be-tween the capacity of adaptation and the pioneering behavior in the companies of the tourism sector in Peru. The empirical study was carried out in 238 tourist companies located in the cities of Lima, Arequipa and Cuzco considered as a cultural heritage of Perú. Regarding to the results achieved in the study, the proposed model allows detecting a direct, significant effect between the ability to adapt and pioneering behavior, whose relationship is accentuated through market dynamism and technological dynamism, and is weakened by competitive intensity. This work contributes to the ex-isting theory and demonstrates through practical application the linkage of the dimensions of the dy-namism of the environment as drivers of adaptive capacity in companies in the cultural tourism sec-tor that are necessary to obtain advantages for a behavior Pioneer in an existing competitive market.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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".