Gendered Brand Cues and Sustainability Perceptions: Exploring the Role of Brand Gender in Consumer Sustainability Judgments
Bibliographic record
Abstract
While sustainability is a key consideration for many consumers, discerning a brand’s sustainability is too complex for routine consumption choices, often leading people to rely on irrelevant cues. Perhaps one such cue is the perceived gender of products and brands. Building on existing literature which suggests an association between environmentally conscious behavior and femininity (Brough et al., 2016), the present research explores whether gendered brand cues influences consumers’ perceptions of the brand’s sustainability, and in so doing impacts their purchase intentions and attitudes toward the brand. We conducted a preregistered study with 600 participants to investigate the causal impact of brand gender on sustainability perceptions. Using a 2 x 3 between-subjects design, participants were either primed to report their own green consumption values or not and then randomly assigned to one of three conditions: masculine, feminine, or neutral (control). Each participant was presented with a coffee brand where the brand's gender was manipulated through semantic (e.g., brand name) and visual (e.g., packaging) cues. When primed with a sustainability cue, participants who saw the feminine-branded product viewed it as significantly more sustainable than the neutral (control) condition (p=.007) and marginally more sustainable than the masculine-branded product (p=.070). We also found that across all conditions, sustainability perceptions predicted purchase intentions (p<.001) These findings suggest a potential relationship between the gender of a product’s branding and the extent to which the brand is perceived as sustainable. This research not only provides insights for marketers to strategically position products to align with eco-conscious consumer values but also contributes to the broader literature on how consumers form sustainability judgments about products, highlighting the subtle influence of gendered branding in this process.
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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 | 0.002 | 0.011 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".