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...

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Autors principals:	Istiaque Bhuiyan, Haseeb Ahmed, Ariful Hoque, Tanvir Bhuiyan
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-06-01
Col·lecció:	FinTech
Matèries:	neobanking customer retention trust perceived security switching costs explainable artificial intelligence
Accés en línia:	https://www.mdpi.com/2674-1032/5/2/53
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