What claims best convey the quality of retailers' standard private label products?
Bibliographic record
Abstract
Purpose Consumers consider retailers' standard private labels (PLs) as relevant choices, compared to national brands (NBs), and their demand for private label products has increased significantly over the past decade. At the same time, PLs have undergone a profound transformation as retailers have enhanced their quality. The goal of this research is to investigate the impact of claims used to highlight the enhanced quality of standard PL products on consumers' perceptions and behaviours. Design/methodology/approach A between-subjects experiment, set in a store laboratory, was used to study consumers' perceptions and behaviours. The impact of six non-nutrition claims – linked, according to the self-other trade-off, either to concern for consumers' health (internal to the self) or for the environment (external to the self) – on consumers' reactions has been studied. Then, the data collected were analysed with partial least squares structural equation modelling (PLS-SEM). Findings This research indicates that health claims retailers make to echo consumers' own concerns have positive impacts at three basic levels: the brand, the retail chain and the store. It also highlights the central role of trust in standard PLs, which, once activated by the non-nutrition claims made by retailers and the increase in the quality of standard PLs thus inferred by consumers, can improve consumers' attitude toward the food retailers' stores and reinforce their intentions to visit again and recommend them. Research limitations/implications From a theoretical perspective, this research supplements cue utilisation theory as it applies this framework to standard PLs and establishes that consumers use extrinsic cues (i.e. communications on non-nutrition claims) to infer the quality of standard PL brand products. It also complements scant studies on retailers' corporate social responsibility (CSR) with quality aspects of their own labels as it specifies the levers (i.e. the claims) to use to improve retailers' CSR image and consumers' behaviours. Practical implications From a managerial perspective, this research highlights the superiority of retailers' claims related to consumer health and, more specifically, of claims highlighting the natural origin of ingredients. For this specific assertion, trust in the standard PL and the CSR image of the brand have direct and indirect impacts, via attitude toward the stores, on consumers' intentions to return to and to recommend these stores. Originality/value Despite the increasing importance of products as effective tools for communicating companies' CSR policies, scant research has been conducted on consumers' reactions to non-nutrition claims, which are increasingly prominent in the marketplace.
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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 | 0.006 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".