The Influence of Consumers’ Perceived Risks towards Eco-Design Packaging upon the Purchasing Decision Process: An Exploratory Study
Bibliographic record
Abstract
Drawing on the means–end chain method, this exploratory study attempts to provide a better understanding of consumers’ perceived risks towards eco-design packaging and its effects on consumers’ purchasing decisions. This study makes divers contributions in terms of theory, methodology, and policy making. Firstly, this study provides better comprehension for the concept of “eco-design packaging” by combining an industrial perspective (i.e., a life-cycle assessment: LCA) with a consumer perspective (i.e., consumer perceptions). The findings reveal the gap between consumers’ perceptions and the LCA results towards eco-design packaging. Secondly, this study offers an alternative perspective on consumers’ reactions towards eco-design packaging through exploring the “risks” instead of “benefits” examined to inspire package innovation. This study identified five perceived risks (functional, physical, financial, life-standard, and socio-environmental risks). Thirdly, this study illustrates the benefit of using the means–end chain analysis (MEC) framework to explore consumers’ reactions and purchasing behaviors towards sustainable products. Lastly, this study offers several actionable suggestions to managers, packaging designers, and policy makers.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".