The retail wellnesscape: conceptualizing consumer wellness in a health food retailing context
Bibliographic record
Abstract
Purpose This paper aims to deepen the knowledge of consumer wellness by conceptualizing this construct in an everyday retail setting, specifically a health food store. With wellness seeking being a central theme in the positioning strategy of many food retail stores, this study aims to investigate the development of an everyday wellness pursuit in a retail setting, identify its underlying dimensions in a health food store setting and establish the key managerial drivers that nurture it in such context, from the consumer standpoint. Design/methodology/approach The research design uses a qualitative approach. In-depth interviews with 20 customers of six multibranch health food retailers were carried out. Findings The findings show the holistic and multidimensional nature of wellness in an everyday consumption setting and highlight the development of physical, emotional, intellectual, social and spiritual consumer wellness in this context. They also bring to light how, in an everyday activity such as a health food retail store visit, retailers can co-create and nurture consumer wellness through their product assortment, store environment and employees’ orientation toward customer wellness. Originality/value The main contribution of this study lies in the conceptualization of the retail wellnesscape, defined as a retail space that consumers choose to visit in their daily lives that contribute to their holistic wellness journey. This paper emphasizes both the importance and the feasibility of cultivating consumer wellness on an everyday basis, for both consumers and retailers, while it has traditionally been associated with more occasional and out of the ordinary settings such as wellness tourism.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.014 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".