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Record W1992290108 · doi:10.1080/13032917.2013.804425

Antecedents and consequences of employee voice behaviour among front-line employees in Turkish hotels

2013· article· en· W1992290108 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnatolia · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsYork University
Fundersnot available
KeywordsTurkishEmployee voiceFront lineHospitalityHospitality industryPsychologyJob satisfactionWork (physics)Front (military)BusinessMarketingSocial psychologyTourismPolitical science

Abstract

fetched live from OpenAlex

This paper explores antecedents and consequences of employee voice behaviour among front-line employees working in the hospitality industry in Turkey. Data were collected from 594 front-line service employees working in 15 top-quality hotels using anonymously completed questionnaires, a 59% response rate. Respondents indicated a generally moderate level of voice behaviour. Personal demographic characteristics and work situation characteristics had few and inconsistent relationships with employee voice behaviour. Males and females were equally likely to engage in voice behaviours. Two aspects of workplace culture were associated with higher levels of employee voice behaviour. Employees engaging in more voice behaviour were also more job-satisfied, more work-engaged, and more likely to remain with their employer.

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.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.013
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.241
Teacher spread0.227 · 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