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Record W4411678018 · doi:10.1016/j.ijhm.2025.104351

Responsible leadership and job embeddedness in hospitality: The role of managers’ light-triad personality and employees’ prosocial identity

2025· article· en· W4411678018 on OpenAlexaff
Osman Seray Özkan, Irene Huertas-Valdivia, Burcu Üzüm, Irene Contreras-Gordo

Bibliographic record

VenueInternational Journal of Hospitality Management · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsTed Rogers Centre for Heart Research
FundersEuropean Regional Development FundUniversidad Rey Juan Carlos
KeywordsHospitalityPsychologyProsocial behaviorPersonalitySocial psychologyHospitality industryTriad (sociology)Job embeddednessEmbeddednessIdentity (music)BusinessSociologyTourismPolitical science

Abstract

fetched live from OpenAlex

Responsible leaders demonstrate their concern and accountability to diverse groups of stakeholders. This emerging leadership style is relevant to and necessary in the hospitality industry, as hospitality organizations face increasing complexity in stakeholders’ demands. Despite this complexity, little is known about responsible leadership’s antecedents and consequences for hotel workers. Drawing on conservation of resources theory, we explore whether the trait of light-triad personality is related to responsible leadership, based on employees’ perceptions of their leaders’ behavior. The findings also demonstrate the relationship between managers’ responsible leadership and employees’ job embeddedness, and confirm company prosocial identity as a boundary condition in that relationship. Structural equation modeling was employed to test the theoretical model, using 407 hotel workers’ responses collected in Turkey. The findings confirm all proposed relationships. This study makes important theoretical contributions and has implications for the hotel context.

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)0.002
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.274
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

Citations7
Published2025
Admission routes1
Has abstractyes

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