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Record W2730447181 · doi:10.5430/jms.v8n3p67

The Impact of the Attitudes towards Ecotourism Benefits on Destination Loyalty

2017· article· en· W2730447181 on OpenAlexvenueno aff
Ibrahim Bazazo, Mohammed Abdullah Nasseef, Abderrahman Al-Zawaideh, Ali Al-Zawaideh, Mahmoud Al-Dhomaidat

Bibliographic record

VenueJournal of Management and Strategy · 2017
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsLoyaltyEcotourismWadiMarketingBusinessTest (biology)Social benefitsPsychologyTourismGeographySocioeconomicsSociologyEcology

Abstract

fetched live from OpenAlex

This study aims to examine the impact of attitudes towards ecotourism benefits (using the variables of economic development, social development, cultural preservation, community capacity building, and environmental protection) on destination loyalty of Wadi-Rum located in Jordan. A total of 297 questionnaire containing 29 items was used to collect information from the local residents of Wadi-Rum. Simple regression, T-test, and ANOVA analyses were conducted to test the research hypotheses. Results of the current study revealed that there is a significant positive impact of attitudes towards ecotourism benefits on destination loyalty. Also, the results revealed that there is no significant difference in the impact of attitudes towards ecotourism benefits on destination loyalty that can be attributed to gender. In addition, results found there is no significant difference in the impact of attitudes towards ecotourism benefits on destination loyalty in favor of age, and educational level.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.286
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2017
Admission routes1
Has abstractyes

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