MétaCan
Menu
Retour à la cohorte

The Effectiveness of the Occupational Health and Safety Management System in the United Arab Emirates

2021· dissertation· en· W4382010360 sur OpenAlexfundno aff
Hani Hossni Zurub

Notice bibliographique

RevueAston Publications Explorer (Aston University) · 2021
Typedissertation
Langueen
DomaineHealth Professions
ThématiqueOccupational Health and Safety Research
Établissements canadiensnon disponible
Organismes subventionnairesFondation Pour La Conservation Du Saumon Atlantique
Mots-clésEnvironmental healthManagement systemMedicineBusinessEngineeringPolitical scienceOperations management

Résumé

récupéré en direct d'OpenAlex

The aim of the research is to compare and investigate whether Abu Dhabi’s Occupational Health and Safety Management System (OHSMS) based regulatory framework or the traditional/conventional framework as implemented in the other Emirates of the United Arab Emirates is more effective in controlling occupational incidents, within the Construction and Manufacturing sectors. The study was conducted to assess what is more effective and beneficial, a mandatory OHSMS based regulatory framework or traditional/conventional laws and regulations based health and safety regulatory framework, both in terms of preventing injuries and ill health as well as cultivating a positive safety culture within the organisations as well as to determine whether OHSMS has contributed to the bottom line of the business by saving hidden costs or not. In this research, a questionnaire was developed based on the literature review and pilot interviews with industry leaders from the Construction and Manufacturing sectors. The data collection methods also included the use of focus group discussions as well as conducting face-to-face interactions with key personnel and the use of online communities through professional networks from the selected entities in the Construction and the Manufacturing sectors, where a statistically designed sample size was surveyed. The method of direct interaction was primarily used for qualitative data collection, whereas the questionnaire responses were the approach for quantitative data collection. Both types of data gathered were concurrently yet independently analysed, followed with the merging of the results and finally the interpretation of the combined results. Based on the detailed analysis of the qualitative and quantitative data, it is concluded that there is a higher level of compliance with occupational health and safety rules and regulations in the Construction and Manufacturing companies in the Emirate of Abu Dhabi compared to the same sectors in the other Emirates due to the enforcement and the systemic monitoring of implementation of the management systems. The OHSMS based system framework is found more beneficial than the conventional occupational health and safety framework, through the evidence of reduced Lost Time Injury Frequency Rates (LTIFR) and reduced costs of occupational health and safety expenses. Improved governance and higher frequencies of training are found to be essential for effective occupational health and safety management in any company, with the aim to prevent or reduce occupational health and safety incidents. As far as the occupational health and safety governance across the United Arab Emirates is concerned, the study has demonstrated that an increase of supervision by Emirati occupational health and safety professionals has reduced the Lost time injury frequency rates. However, the overall OHS management in the United Arab Emirates was found to have a broad opportunity for improvement, starting-off with the establishment of a federal-level competent authority for the management of occupational health and safety.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,900
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,004
Études des sciences et des technologies0,0040,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,053
Tête enseignante GPT0,375
Écart entre enseignants0,322 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAston Publications Explorer (Aston University)Même sujetOccupational Health and Safety ResearchTravaux en français237 207