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How do Finns choose a bank? - A study on choice criteria and information channels in the south of Finland

2019· other· en· W7128121332 sur OpenAlexaboutno aff
Jyri Alakukku

Notice bibliographique

RevueAaltodoc (Aalto University) · 2019
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésQuarter (Canadian coin)Bank accountMobile bankingInstitutionFinancial institutionPerspective (graphical)Value (mathematics)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The purpose of this paper is to reveal what criteria have the most impact on Finns when they are choosing a bank. Additionally, I aim to discover what information channels Finns value and how trusting they are towards bank advertisements. Surprisingly nearly a quarter of those who answered are exclusively customers at the bank in which their parents opened their first bank account. The most common reason as to why they haven’t changed banks is that they simply have not seen a reason to do so. From a bank’s perspective it would be prudent to find out how willing these individuals are to change banks if they were to discover that some other institution offers better services. Out of those who answered 40,80% have changed their primary bank and the most common reason for doing so is better mortgage terms. For 53,66% better mortgage terms have played a part in their decision and for 35,37% it was the only reason that has made them change banks. The most important choice criteria are easy to use online banking services and diverse online banking services. This indicates that banks must especially focus on developing their online services. What makes this difficult is that people seem to demand that they be able to do most of their banking on their own computer but at the same time it must be simple. There were no major differences in the importance placed on these services between genders, different age groups, or different income levels. Surprisingly mobile apps do not seem to be as important as I originally thought. Easy to use mobile app is only the fifth most important criterion and a diverse mobile app is only the ninth most important. But there are differences. For those aged under 50 years these criteria are both in the top five whereas those aged over 50 years ranked them as 11th and 13th. This indicates that the importance of mobile apps will further increase in the coming years and in order to stay competitive banks must focus on developing their mobile services. Easy access to service and the quality of service are ranked third and sixth respectively. Even though younger generations seem to place slightly less value on service it is still one of the most important criteria. For banks this means that even though the importance of online and mobile banking is going to be even more significant than it is now they should not make compromises in the quality and accessibility of traditional service. Branch location occupies the 18th place and is thus the least most important criterion. Those aged over 50 years ranked it as the 14th most important but it is still clear that it`s importance has radically decreased. Insurance services ranked surprisingly low. Access to insurance services is the 17th most important criterion while the quality of insurance services is 16th. The most important information channel is individual`s own research. The second most important is word of mouth, third is news media, and only fourth most important is bank advertising. In addition to ranking it so low Finns also don’t seem to especially trust bank advertisements giving it an average score of 5,36 on a scale from zero to ten. This seems to indicate that Finnish bank advertising has very little effect on conscious decision making.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,447
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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.

Tête enseignante Opus0,018
Tête enseignante GPT0,228
Écart entre enseignants0,210 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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