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Record W2253433219

The Impact of Administrative Empowerment on the Organization Performance at Jordainian Industrial Companies

2016· article· en· W2253433219 on OpenAlexvenueno aff
Hamzeh Al-Ha’ar

Bibliographic record

VenueCanadian social science · 2016
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsLoyaltyEmpowermentSample (material)BusinessService (business)Organizational performanceOrganizational commitmentMarketingDimension (graph theory)Loyalty business modelOrganizational culturePublic relationsManagementService qualityPolitical scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

This study aimed to know the impact of the administrative empowerment on the organizational performance at the Jordanian industrial companies. Study sample consisted of those who occupy the supervisory Jobs, (250) individuals from the category (director, vice director, head of division, and supervisor), the questionnaire was used to collect the data from the sample’s individuals, (250) questionnaires were distributed, (29) were excluded, (171) questionnaires were useable for analysis. After performing the statistical analysis process the study reached the following results: - The pretence of a linear interrelated relation between the administrative empowerments variables (training, providing the needed information, dedicating the authority, participation) participative, and the organizational performance variables (customers service, customers loyalty) under significance level (a≤0.05) . - The presence of effect of the gradual administrative empowerment on the organizational performance on the customer service dimension. - The presence of effect on the gradual administrative empowerment on the organizational performance on the customer loyalty dimension.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.041
GPT teacher head0.272
Teacher spread0.232 · 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.

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

Citations3
Published2016
Admission routes1
Has abstractyes

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