Environmental considerations in the purchase decisions of Ghanaian consumers
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
Purpose By relying on the Theory of Planned Behavior, this paper aims to understand the relative importance of attitude, subjective norm (SN), behavioral control, self-identity (SI) and past behavior in the prediction of green purchase behavior among Ghanaian consumers. Design/methodology/approach In total, 306 graduate students were surveyed on the environmental considerations in their purchase behavior using hierarchical multiple regression analysis. Findings The results of the study indicate that, in general, attitude and SI are more important than SN in influencing green purchase intention in a collectivistic country, such as Ghana. Yet, most respondents were neutral in their responses to questions as to whether they are green consumers and/or if they consider themselves to be concerned about environmental issues. Originality/value This is the first attempt to study environmental consideration in purchase decisions in Ghana, a resource-rich, emerging and one of the strongest economies in sub-Saharan Africa.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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