Proximity marketing in banking: lessons from retail and entertainment industries
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
Ubiquitous technologies such as radio frequency identification (RFID) are increasingly being used by organisations to enhance customer experience. This study aims to discover new opportunities to improve customer experience in banking with ubiquitous technologies. The following steps were taken. We determined if and how RFID is being used in the banking industry to enhance customer experience by analysing case studies based on secondary data. We then compared these findings with cases from the entertainment and retail industries as these industries are leading the way in improving customer experience with proximity marketing strategies. The study found only three banking cases where RFID is used to improve customer experience. Our analysis indicates that banks mainly use RFID technology to increase service efficiency and customer convenience and that the potential offered by this innovation is clearly underutilised.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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