View Full Paper

Owner Consent Verified
Report 4.4

Artificial Intelligence for Retail Banks: Interoperability | A mixed-methods case study

7
Pages
Harvard
Style
~ 7–13 mins
Reading Time
Climate Sociology Data Privacy
Abstract

This report investigates “Artificial Intelligence for Retail Banks: Interoperability | A mixed-methods case study” using a panel regression with fixed effects. Through a socio-technical lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

Download PDF Order Similar Paper Save

Artificial Intelligence for Retail Banks: Interoperability | A mixed-methods case study

ABSTRACT
Artificial Intelligence for Retail Banks: Interoperability | A mixed-methods case study is unpacked across themes: KPIs, benefits, interoperability, and usability. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
14 Pages 4.4
Biomedical Engineering Adoption in Agritech Startups: Equity And Access — A Comparative Perspective
CV Health Epidemiology
View Paper
26 Pages 4.5
Carbon Markets for EU Startups: Scaling And Replication | Evidence from East Africa
Telemedicine NLP Psychology
View Paper
34 Pages 4.5
Cold Chain Logistics for E-commerce Marketplaces: Customer Experience | A propensity score matching
IoT Supply Chain Logistics
View Paper