Reinventing supply strategies in community organizations post-pandemic: a case study of <i>La Ruche Vanier</i>
Notice bibliographique
Résumé
Research methodology This case study draws on both primary and secondary data sources. Primary data includes six hours of interviews and informal discussions with Pascale Bouffard, Deputy Director and Coordinator at La Ruche Vanier. This interview was conducted as part of a project approved by the Research Ethics Committee of Université Laval: Approval No. 2024–286 / 17-07-2024. Secondary data collected from websites of the Québec Food Banks, Moisson Québec, Statistics Québec reports and La Ruche Vanier’s reports, as well as academic publications and news articles on post-pandemic food aid dynamics. The case incorporates real-world organizational challenges. To ensure the confidentiality of other individuals involved in the data collection of this case, fictitious names have been assigned. The donor organization is referred to as “Tout Aliment en Express,” “Charbel (Sales Manager)” and “Angélique (Volunteer).” The reported events and the details about organizational activities, industry operations and statistics are authentic. Case overview/synopsis This case study presents a real-world example of how La Ruche Vanier, a community organization in Quebec City dedicated to distributing food donations to vulnerable individuals in the Vanier neighborhood, navigated food supply disruptions in the post-pandemic era (2023–2024). In May 2024, Bouffard, the Deputy Director and Coordinator, recognized a worsening decline in food donations, which severely strained the organization’s operational capacity. Faced with these challenges, Bouffard posed a critical question: How can supply strategies be adjusted to effectively address the growing demand while managing limited resources? To stabilize the supply, Bouffard needed to make strategic decisions regarding food procurement. This case is decision-driven, focusing on one key supply strategy − purchasing − within a nonprofit context. Students will step into Bouffard’s shoes to analyze the data provided by Angélique, a volunteer, and make strategic decisions to address the challenges. Additionally, students will take on the role of a strategic advisor, like Angélique, to propose recommendations and solutions for procurement strategies. Complexity academic level This case study can be incorporated into courses on procurement management, operations and logistics management, strategy, supply chain management and distribution management. It is appropriate for both advanced courses and foundational ones focused on nonprofit organization management or post-crisis management. Relevant topics include managing complex procurement processes in a nonprofit context, or the challenges surrounding procurement decision-making in a dynamic, complex and uncertain post-crisis environment. Targeted for second- and third-year undergraduate students (business administration) as well as graduate students (Master’s and MBA programs), this case is best suited for those who have already been introduced to procurement strategy concepts in their coursework. The case is of medium difficulty, requiring more than a simple copy-paste approach. While Figures 1–3 and Table 1 provide valuable data, clear prompts are included with the questions to encourage critical thinking and guide students through the analysis process.This case study is suitable for a hybrid learning environment. It integrates both in-seat and online components to facilitate dynamic discussions and collaborative analysis. Its design supports synchronous and asynchronous engagement through digital exhibits and guided prompts, making it adaptable to blended classroom settings.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».