Image Factors Which Determine the Choice of the Bank
Notice bibliographique
Résumé
The study of priorities of the bank image scientific researches make it possible to consider that there is the lack of the bank image scientific researches. The main reason is that there are not concrete proposals regarding factors which can be used for the bank image evaluation. The priority is allocated to researches of industry and trade enterprises image, because those enterprises are working with tangible products. Thus it is more easier to study the image of such enterprises. Also there is the lack of researches. These considerations let prepare recommendations regarding the position the competitive bank should cover. Basing on these propositions the problem is formulated- what are the main image factors determining the competitiveness of the bank? The objective of this article is to name factors of the competitive bank image, determining the choice of the bank. Findings will be based on survey of empirical researches of banks’ image results in foreign countries and in Lithuania. Scientists discuss the factors which are containing the image of the bank, which of them are the main and becoming determinants in choosing the bank. There is no one opinion on this question. Determinants-components of the bank image and their weightiness are mostly based on researches that have been done in foreign countries. Thus the main problem that is arising in evaluation of the concrete bank position in the market is the factors of the bank evaluation. For example, Swedish scientists have excluded 5 factors, which are used in the bank evaluation, i.e. services quality, facilities of credit receiving, distribution system, promotion, reputation and differentiation. Canadian scientists have presented even 19 factors: reputation, recommendations of other people, interesting advertising, the convenience of the place, working hours, help of personnel, friendliness, etc. Danish scientists have looked at this problem more narrowly and have estimated factors, that are important only for business clients of the bank. According them, there are 9 main factors: connections, price policy, quality, rating, technology, the net of the subdivisions, commitment and compensation of other services. The main difference of earlier made researches is that business clients prefer the quality of services more than the bank reputation. USA scientists have presented the reduced list of factors, containing 5 search factors, 7 experience factors and 5 confidence factors that are the main for bank clients. Conclusions of accomplished research in Lithuania have identified that desirable characteristics of Lithuanian banks’ image are confidentiality of clients data, respectability of the bank, technical facilities of the bank, the bank management and the bank competence in the market.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,016 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».