Bank Deposit and Credit Policy Management in the Field of Individual Customer Service
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 is devoted to the problem of individual customer service quality improvement in the field of provided deposit and credit services. This problem is a priority in determining any commercial bank strategy, since both deposit and credit policies determine the effectiveness of a credit institution development, which largely depends on the level of customer satisfaction. This study aims to determine the management aspects of the deposit and credit policy improvement in the field of commercial bank customer servicing. In the course of the work, they used the elements of system analysis, statistical research methods (summary and grouping, calculation of average values), and SWOT analysis. To assess customer satisfaction, the authors studied the Internet reviews of the largest regional bank of the Primorsky Territory of Russia - PJSC SKB of Primorye "Primsotsbank". The use of the indicated methods in the study made it possible to assess the quality of services provided to clients, identify the problems in their service sector, and develop the measures for their elimination. The results obtained are the basis for making managerial decisions to improve the deposit and credit policy of the studied bank and can be used in commercial banks' practice.
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 | 0.001 | 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