A 3-Dimensional Frame of Reference for Prevention of Risk in Supply Chain
Bibliographic record
Abstract
Businesses have to deal with many potential risks in the supply chain, especially during the COVID-19 pandemic. The retail market in Vietnam has great potential for long-term development with the birth and rapid development of domestic supermarkets. However, market opening policies have resulted in fierce competition from a large number of foreign supermarkets. At the same time, customers have become more professional in their approach to shopping and carefully consider any decisions about shopping and the use of services at supermarkets. In this study, the authors use three models (i.e., the SERVQUAL model, the binary logistic model, and the Grey model) corresponding to a three-dimensional frame of reference (i.e., past, present, and future) to provide supermarket managers with a multi-dimensional view of the supermarket business situation. The results identify four factors−namely, quality of goods, personnel, safety, and facilities and equipment−that significantly impact customer satisfaction. The second frame of reference shows that factors such as age, academic level, and income affect the decision to reuse any service at the supermarket. The third frame of reference provides supermarket managers with forecast data about the supermarket business situation for 2021 to 2024. These results provide a solid foundation for supermarket managers seeking to develop strategies and take measures to adjust business activities to achieve the best business efficiency and avoid potential risks in the company’s supply chain. In addition, the results of this study are valuable references for researchers in the fields of customer service, supply chain management, and customer behavior. In particular, the factors obtained in this study will greatly strengthen the scientific value of the service sector and the model of retail supermarkets in Vietnam and other countries around the world. In fact, the business strategy of supermarkets still depends on the spread of COVID-19. Therefore, in the future, it is necessary to combine the results of this study with the experience of managers to develop the right business strategies and achieve further results and sustainable development.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".