MétaCan
Menu
Retour à la cohorte

Stakeholder Mapping of CSR in Switzerland

2014· article· en· W3121242308 sur OpenAlexaff
Stéphanie Looser, Walter Wehrmeyer

Notice bibliographique

RevueSSRN Electronic Journal · 2014
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueCorporate Social Responsibility Reporting
Établissements canadiensSurrey Place Centre
Organismes subventionnairesnon disponible
Mots-clésCorporate social responsibilityMultinational corporationStakeholderBusinessLegitimacyStakeholder analysisPublic relationsBusiness ethicsStakeholder managementStakeholder engagementCentralityMarketingPolitical sciencePoliticsFinance

Résumé

récupéré en direct d'OpenAlex

Purpose - – This paper aims to investigate, using stakeholder map methodology, showing power, urgency, legitimacy and concerns of different actors, the current state of corporate social responsibility (CSR) in Switzerland. Previous research on CSR in Europe has made few attempts to identify stakeholders and their contribution to this topic. Design/methodology/approach - – To derive this map, publicly available documents were explored, augmented by 27 interviews with key stakeholders (consumers, media, government, trade unions, non-profit organisations [NPOs], banks, certifiers and consultants) and management of different companies (multinational enterprises [MNEs], small- and medium-sized enterprises [SMEs] and large national companies). Using MAXQDA, the quantified codes given for power, legitimacy and urgency were triangulated between self-reporting, external assessments and statements from publicly available documents and subsequently transferred into stakeholder priorities or, in other words, into positions in the map. Further, the codes given in the interviews for different CSR interests and the results from the document analysis were linked between stakeholders. The identified concerns and priorities were quantitatively analysed in regard to centrality and salience using VennMaker. Findings - – The paper identified SMEs, MNEs and cooperating NPOs as being the most significant stakeholders, in that order. CSR is, therefore, not driven primarily by regulators, market pressure or customers. Further network parameters substantiated the importance of SMEs while following an unconventionally informal and idiosyncratic CSR approach. Hence, insights into these ethics-driven, unformalised business models that pursue broader responsibility based on trust, traditional values, regional anchors and the willingness to “give something back” were formed. Examples of this strong CSR habit include democratic decisions and abolished hierarchies, handshake instead of formal contracts and transparency in all respects (e.g. performance indicators, salaries and bonuses). Research limitations/implications - – In total, 27 interviews as primary data that supplements publicly available documents are clearly only indicative. Practical implications - – The research found an innovative, vibrant and practical CSR model that is emerging for reasons other than conventional CSR agendas that are supposed to evolve. In fact, the stakeholder map and the CSR practices may point at a very different role businesses have adopted in Switzerland. Such models offer a useful, heuristic evaluation of the contribution of formal management systems (e.g. as could be found in MNEs) in comparison to the unformalised SME business conduct. Originality/value - – A rarely reported and astonishing feature of many of the very radical SME practices found in this study is that their link to commercial strategies was, in most cases, not seen. However, SMEs are neither the “poor relative” nor the abridged version of CSR, but are manifesting CSR as a Swiss set of values that fits the societal culture and the visionary goals of SME owners/managers and governs how a sustainably responsible company should behave. Hence, as a new stance and argument within CSR-related research, this paper concludes that “informal” does not mean “weak”. This paper covers a myriad of management fields, e.g. CSR as strategic tool in business ethics; stakeholder and network management; decision-making; and further theoretical frameworks, such as transaction cost and social capital theory. In other words, this research closes scientific gaps by at once applying quantitative as well as qualitative methods and by merging, for the first time, network methodology with CSR and stakeholder research.

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)0,009
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,047

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,009
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0050,005
Études des sciences et des technologies0,0040,003
Communication savante0,0040,003
Science ouverte0,0010,005
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,028
Tête enseignante GPT0,233
Écart entre enseignants0,206 · 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'étudeQualitatif
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
Publié2014
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueSSRN Electronic JournalMême sujetCorporate Social Responsibility ReportingTravaux en français237 207