Business contributions to the sustainable development goals through community sustainability partnerships
Bibliographic record
Abstract
Purpose This study aims to understand how businesses can contribute to the achievement of the UN sustainable development goals (SDGs) by implementing Local Agenda 21 (or equivalent) plans in partnership with other organizations situated in their city. To this end, the present study examines drivers and outcomes from the perspective of business partners, as well as their relationships to the SDGs. Design/methodology/approach Through a mixed-methods approach this research studies 71 businesses from four large cross-sector partnerships formed to achieve local sustainability goals. Data were collected through a survey to determine why firms partner and what outcomes they obtain from partnering. Qualitative content analyses are used to determine the relationships between business drivers and outcomes from partnering for local sustainability and the SDGs. Findings From a resource-based view (RBV) perspective, findings show the value of local sustainability partnerships in relation to the SDGs. Many SDG targets are aligned with the top reasons why businesses join large community sustainability partnerships. Also, through the outcomes achieved by participating in the partnership businesses can further the SDGs. Research limitations/implications This research contributes to the literature and to practice through the understanding of businesses partnering for local sustainability, and its relationships to global sustainability. Firstly, the connections of business partners to local and global sustainability are better understood. Of note is the contribution made to the literature on sustainability-related drivers and outcomes expanding and refining RBV literature. Secondly, a positive connection has been established between businesses and the SDGs, proposing a virtuous model of relationship that summarizes the findings from this research. And thirdly, large cross-sector social partnerships are better understood. Practical implications Small- and medium-sized enterprises and large corporations with local offices can further both local and global sustainable development by engaging in local cross-sector sustainability partnerships. Social implications These research findings are crucial for those leading sustainability initiatives, so they can engage businesses actively in light of the important role they play in society improving their contributions and the chances for sustainability partnerships to achieve their goals. Originality/value This research contributes to the scale conversation by exploring community sustainability partnerships as a means to understand how business engagement in sustainability at the local level can contribute to the achievement of the SDGs and, ultimately, to global sustainability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.019 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".