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Record W3006083282 · doi:10.5539/ibr.v13n3p68

Hotel-Related Factors and Employee Performance "The Case of Jordanian Four Star Hotels"

2020· article· en· W3006083282 on OpenAlexvenueno aff
Ashraf Mohammad Alfandi

Bibliographic record

VenueInternational Business Research · 2020
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsRegression analysisPsychologyBusiness administrationVariablesEmpowermentOrganizational cultureStar (game theory)BusinessSocial psychologyStatisticsManagementMathematicsEconomics

Abstract

fetched live from OpenAlex

The study addresses the challenge of employee performance (EP) at the four-star hotels in Jordan by focusing on how hotel-related factors influencing EP. Multiple regression was used to predict EP and explain the impact of five predictors that are organization culture (OC), organization structure (OS), manager attitude (MA), empowerment (EM), and training culture (TC). A correlation was used to compare the relationship between study variables. The results of multiple regression indicated that EM was the strongest predictor of EP followed by MA, and TC, whereas OS and OC found to not influence the EP. Overall interrelations among the independent variables showed a positive strong relationship and positively related to EP. Based on the study findings, several recommendations are offered. Finally, the implications for management are discussed.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.024
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.099
GPT teacher head0.326
Teacher spread0.228 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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