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Record W2588628735 · doi:10.5539/ibr.v10n3p133

The Influence of Employee Empowerment on Employee Job Satisfaction in Five-Star Hotels in Jordan

2017· article· en· W2588628735 on OpenAlexvenueno aff
Mukhles M. Al-Ababneh, Samer M. Al-Sabi, Firas J. Al-Shakhsheer, Mousa Masadeh

Bibliographic record

VenueInternational Business Research · 2017
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionEmpowermentPsychologyRegression analysisSocial psychologyDemographic economicsBusinessEconomic growthMathematicsEconomicsStatistics

Abstract

fetched live from OpenAlex

This paper examines the influence of empowerment on job satisfaction in five-star hotels in Jordan. The influence of empowerment on job satisfaction remains a relatively unexplored area. A 52-item questionnaire, measuring empowerment and job satisfaction, was distributed to 332 employees in 12 five-star hotels in Jordan with a 56% response rate. Principal components analysis determined the factor structure and regression analysis determined the influence of empowerment on job satisfaction. The results revealed both structural and psychological empowerment have significant individual influences on job satisfaction, but more significant when structural and psychological empowerment are combined. Most of previous studies were conducted in western economies and little in the Middle East generally and Jordan in particular. This research contributes to the literature by including both dimensions of empowerment where previous scholars used only one.

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 score0.004
Threshold uncertainty score0.009

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 integrity0.0000.000
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 head0.040
GPT teacher head0.351
Teacher spread0.311 · 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

Citations39
Published2017
Admission routes1
Has abstractyes

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