Determinants of the Competitiveness of Small and Medium Hotel Enterprises Affecting the Attraction of International Tourism to Two Mexican Cities
Bibliographic record
Abstract
The objective of this study is to determine that transportation infrastructure, innovation, price, and skilled labor are variables that positively impact the international competitiveness of hotel micro, small, and medium-sized enterprises (MSMEs) in the cities of Puebla de Zaragoza, Puebla, and Morelia, Michoacán, México. The theoretical basis is Michael Porter's Theory of Competitive Advantage. The methodology involved defining the hotel MSMEs in both cities and conducting fieldwork using questionnaires. We used the Kolmogorov-Smirnov (K-S) test to select the best statistical analysis for the hypothesis. We used the Mann-Whitney U test as a contrast method based on the results obtained. Additional validation was subsequently conducted using Bayes' Theorem. The results obtained indicate that the variables have a positive impact on hotel MSMEs, contributing to increasing their competitiveness in attracting international tourism. We recommend that collaboration between the public and private sectors be encouraged to design and implement comprehensive tourism promotion public policies to increase the attractiveness of international tourism to the cities of Puebla and Morelia.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".