Chocolate, Colour and Consideration: An Exploratory Study of Consumer Response to Packaging Variation in the South African Confectionery Sector
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
Color has become increasingly influential as marketers seek to unlock the potential this factor has on behavioural decisions, in part due to colour being the first product attribute a consumer’s brain registers when looking at a product. However, minimal academic research has been undertaken to investigate this function in an emerging market context. This exploratory study sets out to examine how thecolourof packaging of chocolate products affects consumers’ purchase intent, both in terms of spontaneous response and brand loyalty. A consumer survey was conducted through a mall-intercept approach using a sample of 161 respondents. The Friedman and Mann Whitney U tests were conducted in order to compute the data generated within this study. The research concludes that colour holds the potential to influence a consumer’s purchase behaviour of chocolate, with purple far more influential than orange, for example. Moreover, this effect was found to be consistent across low and high income groups. The results underscore the importance of colour and suggest marketers and retailers would be well advised to consider the associations between packaging colour and consumer response.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.003 |
| 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 | 0.000 | 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