A Study Regarding the Relationship between the Consumer Expectations Regarding Packaging and Brand Awareness
Bibliographic record
Abstract
Factors such as changing life styles, consumers being more conscious and competition increasing in both global and national domain require brands to seek success in the market by adding new and diversified characteristics to their products. In this context, packaging, which adds value to the product and moreover, presents the product on the shelves and is a part of the product and the brand, is a subject that the brands and the consumers increasingly focus on. Packaging is crucial in the marketing of similar products. Thus, it bears a lot of responsibility. Packaging reaches both available and potential consumers at the most essential stage like decision-making and satisfies the expectations of the consumers, such as “information seeking, ease of handling and usage, brand comparison, brand image and awareness, environment protection, health insurance, innovation opportunity, promotion, etc.” Packaging is situated in an important position in reaching the consumer, being imprinted on people’s mind and creating brand awareness. Due to the fact that packaging is the initial attraction factor in points of purchase, it is one of the most important aspects of the brand and it helps to increase the brand value by creating brand awareness. Deriving from this notion, this study analyzes the relationship between the consumer expectations regarding packaging and brand awareness with the help of a survey. For the survey, consumers who are over 18 years old and shop from the food retail stores are interviewed face to face in İstanbul, Turkey on August 2015 and convenience sampling method has been used. Factor analysis was applied to the data which were obtained from the survey. In this study, the relationship between the consumer expectations regarding packaging and brand awareness is examined by performing a regression analysis. It is hoped that the study results will be a guideway for the corporations that seek to increase brand awareness and it is believed that this will increase the awareness level, emphasizing the importance of packaging.
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.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".