Who Are Canada’s Green Consumers? A Corporate Social Responsibility-Driven Typology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As consumers become more socially responsible, companies are increasingly compelled to strengthen their green marketing strategies. Corporate Social Responsibility (CSR) serves as an essential promotional tool to engage consumers and enhance brand image. Research on consumer responses to CSR initiatives remains limited despite their importance, which hinders a full understanding of the complexities of modern green-consumer behavior and the design of effective promotional strategies. This study uses cluster analysis to develop a CSR-driven consumer typology for Canada. Based on an online survey of 602 respondents, it identifies three consumer segments: indifferent, eco-conscious, and skeptical consumers. This study examines both sociodemographic and behavioral factors to profile these groups and finds that behavioral factors—loyalty, word of mouth, brand equity, and purchase intention—are more effective than demographic variables in characterizing modern green consumers. It proposes a new typology approach that expands socially responsible consumption beyond environmental concerns to include both environmental and social dimensions through CSR. This broader perspective enables companies to better align their CSR practices with consumers’ needs. These findings offer practical insights and suggest that developing CSR-based promotional strategies tailored to different consumer segments can enhance the impact of CSR initiatives, improve consumer engagement, and strengthen brand relationships.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it