SBs Purchase Determinants in Italian Market: A Survey of Different Retailers’ Shoppers
Bibliographic record
Abstract
Determinants of the growth of store brands (SBs) have been widely investigated in marketing literature. However, with reference to consumer studies, no contributions have focused on comparing strategies developed by grocery retailers to create SB value based on consumer evaluations. The present study aims to fill this knowledge gap by analysing the reasons behind the choice of SBs by consumers who shop at various retailers in Italian market. Data was collected through a computer-assisted telephone interview technique (CATI) based on a structured questionnaire. The final sample was formed by 979 SBs shoppers. The results show that, despite the evidence that socio-demographic profile of the shopper does not vary depending on the retailer attended, the level of importance of SB purchase determinants tend to differ for each retailer: this may reflect the way each distributor has developed its SB products and, therefore, the corresponding strategy adopted. These findings have several implications for retailer policy in positioning SB products.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".