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Enregistrement W4243643764 · doi:10.2523/86623-ms

Cultural Maturity Model: Health and Safety Improvement through Involvement

2004· article· en· W4243643764 sur OpenAlexaffabout
Fleming Mark, Meakin Scott

Notice bibliographique

RevueProceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production · 2004
Typearticle
Langueen
DomaineHealth Professions
ThématiqueOccupational Health and Safety Research
Établissements canadiensPetro-Canada
Organismes subventionnairesnon disponible
Mots-clésCapability Maturity ModelMaturity (psychological)Computer sciencePsychologyDevelopmental psychology

Résumé

récupéré en direct d'OpenAlex

Cultural Maturity Model: Health and Safety Improvement through Involvement Mark Fleming; Mark Fleming Saint Mary's University Search for other works by this author on: This Site Google Scholar Scott Meakin Scott Meakin Petro-Canada Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. Paper Number: SPE-86623-MS https://doi.org/10.2118/86623-MS Published: March 29 2004 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Fleming, Mark, and Scott Meakin. "Cultural Maturity Model: Health and Safety Improvement through Involvement." Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. doi: https://doi.org/10.2118/86623-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability Search Advanced Search AbstractPetroleum companies increasingly recognize the importance of the cultural aspects of health and safety management. This is due in part to the conclusion that a poor safety culture contributed to a number of disasters. Many Petroleum companies have measured their safety culture in order to identify improvements. Questionnaires are commonly used, as they are an efficient method to collect large data sets that can be analyzed statistically. Unfortunately, safety culture surveys have limitations; for example, they provide little assistance in identifying interventions to address areas of concern. A potential solution to this limitation is the use of a maturity or evolutionary framework. In the UK the offshore oil industry and the Health and Safety Executive commissioned a study to develop a health and safety maturity framework1. The study produced a cultural maturity model based on capability maturity models used in the software industry. This framework is similar to Westrum's three level safety maturity model2. These and other models were used as the basis of a Canadian cultural maturity model. This model consists of 5 levels of maturity (Documenting, Controlling, Engaging, Participating and Institutionalizing) and 10 elements. This paper describes the development of the model and the results of a cultural maturity project conducted in Petro-Canada's East Coast Operations.IntroductionHigh hazard organisations (e.g. petrochemical, aviation, medicine) increasingly recognise the importance of the cultural aspects of safety management. This is due in part to the findings from investigations into major disasters in the petrochemical industry (e.g. Piper Alpha) and other industries such as nuclear power (e.g. Three Mile Island and Chernobyl), marine transportation (Exxon Valdese and Zeebrugge) and passenger rail transportation (Ladbrook Grove and Clapham Junction). The surprising thing about these investigations is that they all concluded that systems broke down catastrophically, despite the use of complex engineering and technical safeguards. These disasters were not primarily caused by engineering failure, but by the action or inaction of the people running the system. "The causes in each case were malpractices that had corrupted large parts of the socio-technical system" p2173.In parallel with the wider recognition of the importance of psychological aspects of safety, the concept of organisational safety culture came to the fore. The term 'safety culture' was introduced by International Atomic Energy Agency in their report on the Chernobyl nuclear power plant disaster in 1986 where the errors and violations of the operating procedures which contributed to the accident were seen by some as being evidence of a poor safety culture at the plant3. Safety culture has been described as the most important theoretical development in health and safety research in recent decades4. Although the importance of safety culture is widely accepted, there is still little agreement about what is meant by the term.To an extent, safety culture has been a victim of its own success, because the explosion of interest in safety culture has led to a range of conceptualisations, nearly one for each research team working in the area. A recent review of the research literature identified 16 separate safety culture definitions5. The issue is further confused by the related concept of safety climate. It appears that those who introduced the term safety culture ignored the earlier concept of safety climate described by Zohar6. Once the concept of safety culture became popular in the early 1990's the question of its relationship with safety climate arose. Over the last decade several attempts have been made to distinguish between the two terms (see Cox and Flin7), but safety climate is still often used interchangeably with safety culture. Keywords: safety culture, health, maturity, validity, safety climate, maturity model, participant, questionnaire, organisational factor, disaster Subjects: Safety This content is only available via PDF. 2004. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,014
score de la tête « metaresearch » (Gemma)0,020
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,075

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0140,020
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,003
Communication savante0,0050,006
Science ouverte0,0010,005
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,124
Tête enseignante GPT0,394
Écart entre enseignants0,271 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations0
Publié2004
Routes d'admission2
Résumé présentoui

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Même revueProceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production→Même sujetOccupational Health and Safety Research→Travaux en français237 207→