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Record W3006788433 · doi:10.3390/su12051741

Touristic Stakeholders’ Perceptions about the Smart Tourism Destination Concept in Puerto Vallarta, Jalisco, Mexico

2020· article· en· W3006788433 on OpenAlexaff
José Luis Cornejo Ortega, Christopher D. Malcolm

Bibliographic record

VenueSustainability · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsBrandon University
Fundersnot available
KeywordsTourismSustainabilityMarketingDestinationsDelphi methodBusinessGeographyCorporate governancePerceptionAdaptation (eye)Computer sciencePsychologyFinance

Abstract

fetched live from OpenAlex

The smart tourism destination (STD) is an adaptation of the smart-city concept into a tourism destination. Smart cities relate to the urban use of technologies and internet in order to improve economic growth, quality of life, efficient management of resources, and generation of governance processes and social participation. This paper aims to highlight the perception that different tourism experts in Puerto Vallarta have about intelligent tourism destinations. The working method of this research was through a Delphi study to analyze the responses of local experts on the status of STD´s and their future trends. The experts’ perceptions on the concept’s definition, regional capacity for innovation, technological components, linking, and sustainability was analyzed. Experts perceived an optimistic scenario for STD in Puerto Vallarta, Jalisco, México. The participants in this study value the factors that determine the implementation of STDs as determinants; there are at least three of them: Training, Investment, and Governance.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.047
GPT teacher head0.316
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations42
Published2020
Admission routes1
Has abstractyes

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