Socially responsible customer journey: uncovering the meanings of local product consumption
Bibliographic record
Abstract
Purpose This study aims to investigate the meanings attached to local product consumption through the concept of the socially responsible customer journey. While multiple studies have explored the consumer journey, there is a lack of evidence on sustainable consumption, which in this study is represented through socially responsible behaviors. Design/methodology/approach A qualitative study was conducted through 21 interviews with consumers of local products in Brazil, identified using a snowball sampling technique. Data were analyzed through content analysis. Findings Six meanings were mapped along the customer journey: importance and appreciation of local products, satisfaction in contributing to local production, socio-environmental concerns, personal value, female solidarity and doing good (for oneself and/or others). The analysis revealed that the purchase phase was the most critical in ensuring socially responsible behavior, guided by customers’ experiences of sustainability. Originality/value Unlike previous research, this study offers a discussion of the customer journey and its role in local development. The authors propose the concept of the socially responsible customer journey.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".