Canadian food retailers' reasons for adopting the Eat Well Campaign (2013–14) - A qualitative study
Notice bibliographique
Résumé
Background In 2013, Health Canada (HC) launched the Eat Well Campaign (EWC), a year-long social marketing campaign focusing on food skills, in collaboration with stakeholders including food retailers. Given that adoption of an innovation depends, in part, on its characteristics, the purpose of this study was to explore the characteristics of the innovation (i.e. EWC) that were reported by food retailers as reasons for collaborating with HC. Methods Semi-structured phone interviews were conducted with Canadian food retailers (n = 8) who were involved in the campaign. Interviews were conducted during and following the campaign. Thematic content analysis of interviews transcribed verbatim was performed by three coders assisted by NVivo10 software. An a priori codebook based on Rogers’ Diffusion of Innovations decision process model was used. Results Preliminary findings show that the main perceived relative advantages of participating in the EWC were: enhanced positive organizational image and credibility in terms of partnering with a credible organization like HC, providing relevant information to their customers related to healthy eating, and having an opportunity to collaborate with HC and other retailers. The majority of retailers perceived that the EWC fit with their organization’s mission and practices as well as with their customers’ needs. The EWC was not seen as complex, and therefore not a barrier for its adoption. Conclusion Preliminary analysis identified relative advantages, compatibility and low-complexity as being the key characteristics of the innovation related to the adoption of the EWC by food retailers. These findings will be useful to understand the innovation-decision process and the reasons for private-public partnerships in public health nutrition. Key messages This study identifies key attributes of the innovation (i.e. a healthy eating campaign) related to its adoption by food retailers These findings contribute to a better understanding of collaborations between the retail food industry and public health organizations
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Comment cette classification a été obtenuedéplier
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 | 0,028 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».