Impact of Packaging on Sales Volume, A Comparative Study of Made in Nigeria and Foreign Products
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
Good quality packaging is a contributory factor to sales volume enhancement. This is however a reverse in the rural areas of Nigeria with the South East geo-political zone as study area. Hence locally made products are higher demand even at better package offer of foreign products. The research is executed based on 25 rural communities of the five South Eastern states of Nigeria, to determine the reasons for poor demand for better packaged foreign products and data were analyzed using the Likert ranking scale and the ‘t’ test statistics. These show that this reverse impact of packaging on sales volume is attributed to the high level of poverty in the rural area of Nigeria given low level of per capita income and high level of quantitative rather than qualitative education with attendant inability to read. Thus consumers are influenced by the affordability and availability of products in demand as such physical and aesthetic values as well as communication, functional and perceptional benefits and environmental, health and safety concerns of packaging are not much considered. This work recommends good consumer marketing research activities as aid to market segmentation and market offer positioning, based on the characteristics of Nigeria rural markets especially for the bridging of the gap in demand between made in Nigeria and foreign products; given the features and characteristics of package (packaging), for the realization of expected return on investment based on target market satisfaction.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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