Local Sustainability Partnerships: Understanding the Relationship Between Partnership Structural Features and Partners’ Outcomes
Notice bibliographique
Résumé
The number of cross-sector social partnerships (CSSPs) has increased at both global and local levels. This is due to the benefits that they bring in solving complex problems such as unsustainable development, and to the organizations that partner in CSSPs. Current research has stated that partner organizations obtain positive outcomes when they join CSSPs. In this study, outcomes are understood through a Resource-based View approach. Moreover, past research has mentioned that structural features within CSSPs - such as communication systems, monitoring and reporting, partner engagement, renewal systems, among others - help partner organizations to achieve their goals. Nevertheless, there is still a gap in the literature about the relationship between the structural features and partners’ outcomes in large CSSPs. \nThis research studies three large CSSPs: Barcelona + Sustainable in Spain (B+S), The Gwangju Council for Sustainable Development in South Korea (GCSD), and Sustainable Montreal in Canada (SM). Each of these CSSPs has more than a hundred partners from civil society, public and private sectors. Through a mixed-methods approach, this research explores the relationship between the structural features of the three large CSSPs and the value given by the partner organizations to their achieved outcomes. Secondary data from three video interviews, and three follow-up interviews with the coordinators of the CSSPs about the structural features was analyzed through qualitative content analysis. Secondary data from 186 partner organizations of the CSSPs was collected through a survey, and it was analyzed through ANOVA Test with the purpose of finding differences in the value given by the partner organizations to their achieved outcomes. With both data sets, abductive analysis was conducted in order to analyze the relationship between the structural features and the partners’ outcomes. \nThe results from the structural features show that the CSSPs adopted similar structural features, however, there were some main differences in monitoring and reporting, partners’ engagement, and the sector composition of the partners. The results of the ANOVA Tests for the partners’ outcomes show differences in community capital outcomes achieved by the partners of Sustainable Montreal, as well as differences in the physical capital outcomes achieved in GCSD. In B+S, there were differences found in the public sector regarding the achieved outcomes on financial capital. The abductive analysis results indicate that the difference shown by the partners of Sustainable Montreal in the value of their achieved outcomes is likely due to the partners’ engagement, decision-making mechanisms, as well as their monitoring and reporting systems. The difference for GCSD is likely due to their monitoring and reporting, along with their partner’s engagement. Lastly, for B+S, the results are likely due to the composition of the partnership. \nIn conclusion, this research offers seven structural features for large CSSPs that are implementing sustainable community plans. In terms of partners’ outcomes, there were differences found outcomes across CSSPs, especially in GCSD and SM. However, it was not possible to find differences across sectors for each CSSP, with the exception of the public sector in B+S. Lastly, in terms of the relationship, the structural features that explain why partner organizations give different values to their achieved outcomes are partners’ engagement, monitoring and reporting, decision-making, and composition of the CSSPs. Understanding the resources that partner organizations can achieve from partnering in a CSSP is crucial for engaging key partner organizations that can contribute with their resources skills to the achievement of the CSSPs’ goals. \n
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,005 |
| Communication savante | 0,007 | 0,009 |
| Science ouverte | 0,001 | 0,011 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».