MétaCan
Menu
Back to cohort
Record W4226383399 · doi:10.5539/ibr.v14n12p41

Organizational reputation within the Framework of Total Quality Management: the University of Jordan as a Model

2021· article· en· W4226383399 on OpenAlexvenueno aff
Enas Ahmed Al Shuqairat, Mohammed Salem Al-Shura

Bibliographic record

VenueInternational Business Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIdeological and Political Education
Canadian institutionsnot available
Fundersnot available
KeywordsReputationContext (archaeology)Quality (philosophy)Total quality managementAttractivenessMarketingSample (material)BusinessService (business)PsychologySociologySocial scienceGeography

Abstract

fetched live from OpenAlex

This study aimed to identify the organizational reputation of the University of Jordan (a model) in the context of its application of total quality management. The study sample consisted of (350) faculty members at the University of Jordan. The study also used the (questionnaire) tool that it developed is collect data after verifying its validity and reliability. The results of the study showed that there is a high degree in the achievement of the University of Jordan for Total Quality Management, which was reflected on its reputation, and that there were significant statistically significant differences at the level (a ≤ 0.05) in the university’s reputation as a result of its application of the principles of total quality management, which was explained by the high standards of the organizational reputation variable, starting with In terms of (creativity/strength of financial position/quality of service/social responsibility), the criterion of attractiveness was the least effective. Among the recommendations that came: maintaining the application of total quality management in the University of Jordan more effectively with continuous development and improvement, and working on marketing the University of Jordan to further improve the image in the minds of beneficiaries (existing and new prospects).

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.091
GPT teacher head0.436
Teacher spread0.345 · 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 designTheoretical or conceptual
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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueInternational Business ResearchSame topicIdeological and Political EducationFrench-language works237,207