The influence of demographic variables on relationship banking: an international study
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 purpose of this study was to conduct an empirical investigation among clients and managers to identify the influence of demographic variables on relationship banking. Primary data was collected from respondents in South Africa, Canada and the UK. Convenient snowball sampling was used to select the sample which comprised 637 banking clients and 67 bank managers. The two research instruments were structured seven-point Likert-type scale questionnaires, one distributed to clients and the other to managers. Quantitative statistical data analyses were conducted as descriptive statistics, reliability tests and linear modelling were performed. The empirical results show that, in addition to the bank-related aspects of personalisation and fees, various demographic characteristics of clients influence a bank’s relationship marketing. This study could be of significant value to South African retail banks in order to consider the relationship marketing strategies of Canadian and UK banks. In terms of practical banking strategies, the study adds value in respect of personalised offerings and the development and implementation of fair fee structures relating to different client categories, which would ultimately improve bank-client relationships.
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 | 0.001 |
| 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