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Record W3216762181

قياس أثر تدريب الموارد البشرية على التميز في أداء الخدمة " دراسة تطبيقية على خدمات الضيافة الجوية بالطيران العماني "

2007· article· ar· W3216762181 on OpenAlexaboutno aff
محمد عباس ديوب, منذر مرهج, محمد بن أحمد الفزاري

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2007
Typearticle
Languagear
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsTraining (meteorology)Work (physics)Service (business)BusinessCivil serviceStrengths and weaknessesHuman resourcesProcess managementAeronauticsOperations managementPublic relationsRisk analysis (engineering)Operations researchEngineeringMarketingPolitical sciencePublic serviceGeographyLawPsychology
DOInot available

Abstract

fetched live from OpenAlex

إن النشاط التدريبي للشركات التي تعمل في مجال الطيران, والنقل الجوي له خصوصية, يتميز بها عن النشاط التدريبي للشركات التي تعمل في مجالات أخرى ، ويرجع السبب في ذلك إلى أن التدريب, يعتبر أحد الركائز التي تمنح على أساسها المنظمة الدولية المسئولة عن إصدار التشريعات, والقوانين الملزمة لهيئات الطيران المدني, ومقرها في مدينة منتريال بكندا تراخيص العمل لشركات الطيران, وذلك في حالة وفائها بالمتطلبات الخاصة بالسلامة الجوية للطائرة ومن عليها . ومن هنا وجب الاهتمام بالموارد البشرية, وذلك من خلال عدم الربط بين تحديد الاحتياجات التدريبية, والبرامج التدريبية المقدمة لأفراد الضيافة الجوية, وبين احتياجات تحقيق التميز في أداء الخدمة على طائرات الطيران العماني . ويهدف هذا البحث إلى دراسة وتحليل السياسات التدريبية لأفراد الضيافة الجوية لتحديد نواحي الضعف والقصور بها, وكذلك العمل على وضع مقترحات, وتوصيات, تهدف إلى زيادة فعالية النشاط التدريبي من أجل تحقيق التميز في أداء الخدمة على طائرات الطيران العماني . Training of air companies differ from the training of other companies that work in other fields. This is because raining is one of the bases upon which the international organization, based in Montréal, Canada, issues licenses, rules and regulations for civil aircraft authorities to ensure safety of passengers. This is why there care must be taken of human resources by dissociating the needs and programs of the training offered to air hosts from the requirements to achieve distinguished service performance on Omani aircrafts. This research aims to study and analyze training policies of air hosts for defining and overcoming the weaknesses, applying the suggestions and recommendations that aim to increase the efficiency of the trainings which lead to peculiar performance of Omani air service.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.007
Science and technology studies0.0020.001
Scholarly communication0.0070.012
Open science0.0160.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.002

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 head0.252
GPT teacher head0.548
Teacher spread0.296 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2007
Admission routes1
Has abstractyes

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