The Analysis of Influencing Factors and Promotion Strategy for the Use of Mobile Banking
Bibliographic record
Abstract
The main factors that influence the mobile banking’ s promotion are specifically analyzed based on the three-factor theory, namely the external environmental factors, internal factors of consumers and marketing factors. It can come to a conclusion that culture, perception of risk, marketing factors are the three main factors that affect mobile banking’ s marketing. Then the effective countermeasures are put forward as well in the paper. Key words: Mobile banking; Consumer behaviour; MarketingResume: Les facteurs de canalisation qui influencent la promotion d'operations bancaires mobile sont specifiquement analyses bases sur la theorie de trois-facteur, a savoir les facteurs environnementaux externes, facteurs internes des consommateurs et facteurs de vente. Elle peut arriver a une conclusion que la culture, perception de risque, lancant des facteurs sur le marche sont les trois facteurs principaux qui affectent la gestion bancaire mobile. Alors les contre-mesures efficaces sont aussi bien proposes dans le papier. Mots cles: Operations bancaires mobiles; Comportement du consommateur; Commercialisation
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".