Notice bibliographique
Résumé
The war is over. The largest corporations in the world are now committed to sustainability. But, behind the public relations gloss, corporate executives and managers are perplexed. The majority of them have a genuine desire to work in an ethical and sustainable manner. Yet, when they engage with their stakeholders for that purpose, they unexpectedly encounter a world of hardball politics full of hostile activists, self-interested elites and unpredictable attacks. Unfortunately, corporate management is too often unskilled in this rough-and-tumble world. While managers rely on facts and rational analysis, their self-appointed critics have mastered the arts of political discourse, issue framing and media manipulation. At the same time, as corporations extend their global reach, their third-world stakeholder communities are beset with a variety of poverty-maintaining and sustainability-thwarting conditions. In many parts of the world, communities suffer from entrenched divisions, exclusion from power, unpredictable violence and economic dependency. In order to both reduce reputational risk and to contribute to sustainable development, companies need the equivalent of roadmaps of the socio-political terrain in their stakeholder networks.This book moves on to next challenge of giving companies what they need now: namely, "how to" guides addressing the twin problems of firstly maintaining political legitimacy (talking the talk), and, secondly, promoting sustainable development (walking the walk). They need to learn how to both play stakeholder politics and collaborate with stakeholders towards sustainability goals. Most companies have already encountered or anticipated the barriers that this book addresses, and managers will recognize the dilemmas described.Stakeholder Politics is the first book to offer a method for classifying and dealing with these socio-political problems.The book presents a typology of stakeholder networks that will help managers and community leaders identify and improve the social capital patterns in their own networks. Once they know what patterns they have, they can move their networks towards those that foster sustainable community development. The author describes vivid cases in which managers and community stakeholders have already used the approach successfully. At the same time, managers get handy tools for predicting and avoiding community-level socio-political risk around stakeholder issues: most notably, the Stakeholder 360 which has been successfully used in Canada and Australia with large groups of managers learning about stakeholder engagement.The book has been written for an audience of both managers and academics. Those working in developing countries with difficult stakeholder issues will find it indispensable.
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 | 0,006 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,013 | 0,009 |
| Communication savante | 0,018 | 0,013 |
| Science ouverte | 0,002 | 0,013 |
| Intégrité de la recherche | 0,010 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,079 | 0,025 |
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 ».