Trust, Security, and Nonlinear Retention Dynamics in FinTech Neobanking: An Explainable Machine Learning (XAI) Approach

This study examines customer retention intention in neobanking environments using a theory-informed explainable machine learning framework. Existing digital banking research typically relies on linear modelling approaches to explain retention behaviour, potentially overlooking nonlinear, value-range...

詳細記述

書誌詳細

主要な著者:	Istiaque Bhuiyan, Haseeb Ahmed, Ariful Hoque, Tanvir Bhuiyan
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-06-01
シリーズ:	FinTech
主題:	neobanking customer retention trust perceived security switching costs explainable artificial intelligence
オンライン･アクセス:	https://www.mdpi.com/2674-1032/5/2/53
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!