Marketing Innovation and Key Performance Indicator in Banking
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
<p>This paper aims to analyze the relationship between marketing innovation and performance of an enterprise, studying in particular the banking sector. So after a brief review of the literature on services marketing and on the issue of business innovation, through the methodology of the single case (Yin, 1994; Dubois &amp; Gadde, 2002), that is appropriate because of the complexity of the phenomenon, the research analyzes how innovation of bank management—interpreted as a tendency to integrate strategies and tools of “marketing” that have long been the preserve of industrial production and, in recent years, of retailers—influences the performance and competitive advantages.</p><p>In detail, the work provides an analysis of the main KPIs of the bank on the one hand, and innovation indicators of marketing on the other; subsequently it detects any correlation between the two elements and it emphasizes through what strategies a bank has managed to overcome the crisis and to gain a defensible competitive advantage.</p>
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 | 0.005 | 0.005 |
| 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 | 0.000 | 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