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Record W2146792984 · doi:10.5267/j.msl.2014.6.004

A study on the effects of service quality on brand personality: Evidence from Hotel industry

2014· article· en· W2146792984 on OpenAlexvenueno aff
Emeliya Ghorbani Siavoshani, Hamed Dehghanan, Ghasem Bakhshandeh

Bibliographic record

VenueManagement Science Letters · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessPersonalityMarketingService qualityQuality (philosophy)Hotel industryService (business)AdvertisingPsychologyTourismSocial psychologyHistory

Abstract

fetched live from OpenAlex

Quality has always been one of the most important topics in the competitiveness of organizations' service activities and it influences on brands, significantly.This paper presents an empirical investigation to study the effects of service quality on brand personality in hotel industry.The study uses two questionnaires, one for measuring brand personality by using Aaker's questionnaire (Aaker, 1997) [Aaker, J. L. (1997).Dimensions of brand personality.Journal of Marketing Research, 34(3), 347-356.]and the other one for measuring service quality.The study chooses a hotel chain in city of Mashad, Iran named Sadr Hotel and examines the effects of five-brand personality on service quality by choosing a sample of 384 customers.Using structural equation modeling, the study has determined that all five factors could influence on service quality of the case study, positively.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.055
GPT teacher head0.293
Teacher spread0.238 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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