Evaluation of Customer Loyalty to Different Format Retailers
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
The article notes that at present for different retailers an important strategic objective is to create loyal customers. Under these conditions, the urgency to identify and assess the factors affecting the formation of customer loyalty increases. The purpose of this study is to estimate factors affecting customer loyalty with an average level of income in the context of different formats of retail trade of food specialization in the cities with a population of 1 million people. In the study a methodical approach to customer loyalty and factors it forming is developed. The basic factors of customer loyalty in the context of the marketing mix 7P are discovered (product, price, place, promotion, personnel, physical evidence, and process). A quantitative assessment of the factors of customer loyalty on the basis of the calculation of the index of satisfaction in the context of retail formats (hypermarket, supermarket, and shop near home) is given. The study may be of interest to market operators of retail services in the development of programs to improve customer loyalty to different retailers.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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