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Record W2165939378 · doi:10.5539/ibr.v6n8p79

The Mediation of Tourists Satisfaction on the Relationship between Tourism Service Quality and Tourists Loyalty: Five Stars Hotel in Jordanian Environment

2013· article· en· W2165939378 on OpenAlexvenueno aff
Ramzi Mahmoud Alrousan, Ismaiel Abuamoud

Bibliographic record

VenueInternational Business Research · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsService qualityLoyaltyMarketingTourismBusinessMediationCustomer satisfactionQuality (philosophy)Service (business)Loyalty business modelPerceptionAdvertisingPsychologyGeographySociology

Abstract

fetched live from OpenAlex

This paper aims to examine the relationship between tourism service quality, tourism loyalty and tourism satisfaction expectations in hotel industry. In this paper, the service quality standard model has been used for evaluation of service quality, Parasuraman, Zeithaml, & Berry (1985, 1988). Fornell et al. (1996) and Oh (2000) models with revision was used for evaluating the loyalty, and the instrument presented by Cauana, Money, and Berthon (2000) was used for evaluation of customer satisfaction. The focus of this research is five stars hotels in Jordan, and 322 customers of these hotels were sampled. The results of this paper demonstrate that in all aspects, customers’ expectation, are higher than their perceptions of the hotels services. In addition, this research findings show that customer satisfaction plays the role of a mediator in the effects of service quality on service loyalty. Moreover, the findings of this study provide tourism professionals in Jordan with more insight about the idea of TSQ and help them improve the quality of their services.

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)0.002
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 score0.067
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.106
GPT teacher head0.351
Teacher spread0.246 · 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

Citations17
Published2013
Admission routes1
Has abstractyes

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