Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/35096
Author(s): Cordeiro, C.
Pinheiro, C.
Editor: Tawfiq Rkibi
Date: 2024
Title: Promoting youth banking: Application of machine learning
Book title/volume: 2nd International Scientific Conference of Social Sciences and Technology School of Universidade Europeia: Abstracts
Pages: 33 - 34
Event title: Navigating the future of management
Reference: Cordeiro, C., & Pinheiro, C. (2024). Promoting youth banking: Application of machine learning. In T. Rkibi (Ed.), 2nd International Scientific Conference of Social Sciences and Technology School of Universidade Europeia: Abstracts (pp. 33-34). Universidade Europeia. http://hdl.handle.net/10071/35096
ISBN: 978-989-53943-9-5
Keywords: Machine learning -- Machine learning
Financial literacy
Banks
PISA
Abstract: Social responsibility and financial literacy have become priorities for financial institutions, regulators, and policymakers alike. However, the assignment of payment methods to young people, especially those aged between 13 and 17, follows different procedures by banks with nonuniform and not always clear criteria. Studies conducted on financial literacy or payment methods have not focused on this specific age group.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:BRU-CRI - Comunicações a conferências internacionais

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