Factors Influence on Packaging Design in an Impulse Consumer Purchasing Behavior: A Case Study of Doritos Pack
Bibliographic record
Abstract
The conventional role of packaging in buyer products has been to save and protect the product. In fact these days, buyer and manufacture trends propose a progressively significant part for packaging as a tactical tool as well as a marketing strategy. This research aims to investigate the impact of factors influence on packaging design in an impulse purchasing circumstances as a case study of Doritos pack in Manchester city-UK. This research consists of the independent variables represented by visual components and informational components namely (pack graphics, layout, color, photography and illustration, typography, pack size and shape; product information, and package technology) and dependent variable which represented by impulse purchasing behavior. In order to explore the relationship between independent and dependent variables the qualitative method was used to collect primary data through a social media, online, and face to face interviews, which was administered with customers and experts in product innovation. The research sample in this research consists of 34 participants and an expert in product innovation. The results confirm that for most participants in the interviews, the factors which influence on the bad image of current Doritos chips bags in the marketplace are; protection, communication, and information. The research concludes that there are many functions to packaging design in order to ease and communicate with customers; increasingly, there is important role of packaging as a strategic tool to attract consumers’ attention and their perception on the product quality. Brand has important role in identify layout, graphics, color, and typeface. The new packaging design mostly uses the brand in products. Mainly, the packaging design includes all printed information such as made it, where it was made, when it was made, what it contains, how to use it. Moreover, the printed information is given in the brand and its value has to be showed while promoting the product in the market.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".