Proposition of an Integrative Theory of Socially-Responsible Consumption Behaviour
Bibliographic record
Abstract
This paper reviews the literature on Socially-Responsible Consumption Behaviour (SRCB) measurement and proposes a framework of SRCB, based on the Model of Goal-Directed Behaviour (MGB). First, this theoretical paper provides a conceptualization of SRCB. Second, it discusses the measurement scales developed so far for measuring SRCB. Third, it provides an MGB-based integrative framework of SRCB aimed at narrowing the attitude-behaviour and intention-behaviour gaps, frequently encountered in the literature. The analysis highlights the bi-dimensional structure – social and environmental concern – of SRCB and acknowledges its modular and evolutionary nature, contingent on the contexts in which it is intended to be measured. It therefore offers tremendous research opportunities for academic researchers and useful guidelines for marketers aiming at the exploration of consumers’ SRCB.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.014 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".