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Enregistrement W1588789573

Societal Learning and Change: How Governments, Business and Civil Society are Creating Solutions to Complex Multi-Stakeholder Problems

2005· book· en· W1588789573 sur OpenAlexaboutno aff
Steve Waddell

Notice bibliographique

Revuenon disponible
Typebook
Langueen
DomaineDecision Sciences
ThématiqueComplex Systems and Decision Making
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCivil societyPolitical scienceStakeholderPublic relationsSustainabilityPoliticsSocial learningGovernment (linguistics)Corporate social responsibilityBusinessKnowledge management
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Constructing roads in Madagascar; forestry along Canada's Pacific Coast; water and sanitation projects in South Africa; community banking in the United States; constructing a new global system for corporate reporting. These all have something in common. They provide great illustrations of the types of profound and wise changes needed in the way we run our affairs if we are to respond to the scale of environmental and social challenges and opportunities facing us. They are examples of learning and change. Today, this phenomenon is occurring across industries as diverse as resources extraction, infrastructure development, agriculture and information technology at the local, national, regional and global levels. Its essence involves the ability to create rich relationships that bridge large differences. This book describes this phenomenon for practitioners to help them address issues and develop opportunities more effectively.  Building on the traditions of individual and organizational learning, this book suggests that our challenge is to create learning societies and processes. This involves both change in ourselves as individuals, but also change in the way the three key systems that make up our societies – the political system (government), economic system (business) and social system (civil society) – function by creating more robust interactions that respond to human and environmental imperatives rather than organizational ones.  Societal Learning and Change presents a meta-framework that covers diverse approaches, including corporate citizenship, social responsibility, community development, private-public partnerships, inter-sectoral collaboration and sustainability strategies. It makes sense of all of these by emphasising that they all share the need to change relationships at the societal level and explaining how to do this from a systems perspective. The book helps overcome the conundrum where individual organisations are unsuccessfully trying to achieve big change with their stakeholders. Rather than stakeholder management with an organization-centric viewpoint, this book describes the importance of taking a stakeholder engagement and issue/opportunity-centric strategy.  Wherever you are, you can make a contribution to shifting the paradigm through a societal learning and change strategy. The critical contribution is creating new relationships between people and organizations that traditionally would not interact but in fact have common interests. When these relationships become meaningful by addressing a problem or developing an opportunity, people begin to learn about each other and develop mutual appreciation and understanding. Often this process is complicated and confusing. People do not use words in the same way even if they speak the same formal language; they do not learn or perceive the world the same way although they may share a common culture; their organizations have diverse goals, resources and weaknesses that make working together problematic. However, it is these very differences that are the source of the value of working together. Societal Learning and Change aims to make it easier to solve differences in order to work together successfully; it does this by identifying some of the differences as sources of tension and opportunity and describing the development processes of building relationships that can produce mutually rewarding innovation that is unimaginable when the relationship begins.  This is an extremely optimistic book at a time of great pessimism about the huge forces of globalization and corporate power that seem to be overwhelming us. It will be essential reading for students and practitioners in the fields of organizational learning, sustainability, poverty, international development and stakeholder relations.

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)0,005
score de la tête « metaresearch » (Gemma)0,005
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: Théorique ou conceptuel
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,024
Score d'incertitude au seuil0,055

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,005
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0120,035
Communication savante0,0240,014
Science ouverte0,0030,009
Intégrité de la recherche0,0050,006
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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 Opus0,410
Tête enseignante GPT0,381
Écart entre enseignants0,029 · 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
GenreAutre

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

En bref

Citations105
Publié2005
Routes d'admission1
Résumé présentoui

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