ORGANIZATIONAL COMMUNITY CHARACTERISTICS AND BARRIERS TO ENVIRONMENTAL MANAGEMENT: ADDRESSING THE ROLE OF COMMUNITIES OF PRACTICE, LANGUAGE, AND MENTAL MODELS IN ORGANIZATIONAL CHANGE
Notice bibliographique
Résumé
The current state of organizational environmental management is inadequate to face the risks posed by the natural environment such as resource scarcities resulting from natural, social and/or economic processes such as increases in extreme weather events, natural resources-based conflicts, regulatory restrictions, or trading commodities fluctuations. These changes to the organizational environment call for adaptation so that we may maintain our ability to produce and function sustainably. \n\nOrganizations need to adopt practices and processes that consider the natural environment. The adoption of environmental management practices and processes has, however, met barriers. Faced with initiatives that promise considerable financial and environmental benefits, research has reported resistance to buy-in. I suggest that perception barriers, imbedded in language, have a role to play in this lack of change. I propose that individual’s mental model of the organization filters information for decision-making based on language. I suggest that the linguistic repertoire of communities of practice is used to filter information relevant to organizational decision-making.\n\nA quantitative study showed that differences in community of practice linguistic repertoires are found between the environmental and business communities. In addition, varying levels of familiarity with the repertoire of a community of practice were explored to determine whether community membership is reflected in the linguistic repertoires of individuals. The results suggested that the familiarity of graduate students with the linguistic repertoire of the community of practice they were studying was more akin to membership in a community of interest than a community of practice. In addition, the results suggested that environmental and business communities held opposing sets of relevant linguistic repertoires, providing grounds for communication barriers. \n\nFinally, in addition to exploring language’s potential as a barrier and opportunity for change, the in individual’s mental models ability to change was explored. Through case study observations, I showed that a change in the individual’s mental model of the organization could result from participation in an eco-efficiency program. The participants, high-level decision-makers in the organizations, introduced the natural environment as a new aspect to their future decision-making process following participation. Contributions to management and social theory are also discussed.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,015 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,014 |
| Communication savante | 0,008 | 0,012 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».