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Record W2597481646

Comparison of Multi-Stakeholder Perception of Tourism Sustainability in Goa

2016· article· en· W2597481646 on OpenAlexaff
Carmelita D. Mello, Ling-Chen Chang, K.B. Subhash, Kaustubh Kamat, Friedrich M. Zimmermann, K. Weiermai

Bibliographic record

VenueInternational Journal of Hospitality and Tourism Systems · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsYork University
Fundersnot available
KeywordsTourismSustainabilityStakeholderGovernment (linguistics)Sustainable tourismBusinessTourism geographyFocus groupMarketingSustainable developmentEcotourismPerceptionOriginalityPublic relationsPolitical scienceQualitative researchSociologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

Despite being researched so widely for a considerable period of time, sustainable tourism remains a controversial issue in tourism literature with very little consensus about the understanding of the term, its practical implementations, as well as its implications. The practice of sustainability in tourism can take diverse paths as evidenced in tourism research, but recently debate is on collaboration and involvement among tourism stakeholders is gaining importance as a key to sustainable tourism development, although research in support in this issue requires further support. This study investigates the perceptions about various dimensions of sustainable tourism among four groups of tourism stakeholder's; viz.; Residents, Tourists, Entrepreneurs and Government Officials. To discover if difference exists, an ANOVA test was conducted for each dimension, followed by a Scheffes' test to determine inter-group differences of perceptions and result shows that statistically significant differences exists in perception among stakeholder groups for six out of the seven dimensions. Differences were identified between tourist and residents, entrepreneurs, government officials in the case of understanding sustainability, focus of sustainable tourism, attitude towards participation in sustainable tourism, between residents and tourists, entrepreneurs, government officials in the case of sustainable tourism management, between tourists and residents, government officials in the case of support for sustainable tourism development and between tourists, residents and entrepreneurs, government officials in the case of economic focus of sustainable tourism. In the case of tourism industry and sustainability, none were significant.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.065
GPT teacher head0.397
Teacher spread0.332 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations9
Published2016
Admission routes1
Has abstractyes

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Same venueInternational Journal of Hospitality and Tourism SystemsSame topicDiverse Aspects of Tourism ResearchFrench-language works237,207