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Record W3016538597 · doi:10.5539/mas.v14n5p11

The Impact of Organization Culture on Service Quality Provided by Ministry of Industry and Trade in the State of Kuwait

2020· article· en· W3016538597 on OpenAlexvenueno aff
Jasem Mohammed Jazza Alshemmari

Bibliographic record

VenueModern Applied Science · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryDelegateBusinessQuality (philosophy)Service (business)Service qualityMarketingPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

This study aimed to identify the impact of organization culture on service quality provided by Ministry of Industry and Trade in the State of Kuwait, To achieve study goals. A questionnaire was designed and distributed over ministry employees. The study population consists of Ministry of Trade and Industry employees in the State of Kuwait. A convenience sample amounting (100) employees was selected Several results have been concluded namely: There is a of statistically significant relationship impact of prevailing organization culture on service quality provided by the Ministry of Industry and Trade in the State of Kuwait, and there is a growing interest in prevailing organizational culture quality in the ministry, and there is a high quality level that is provided to ministry customers. Several recommendations have been suggested, the most important of which are: to delegate some powers to e employees, and to involve employees in the decisions that are taken and related to their work. Attention has to be paid to non-rigidity in administrative decisions, and to develop the service provided to citizens

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.030
GPT teacher head0.281
Teacher spread0.252 · 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 designBench or experimental
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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