The Impact of Financial Technology (FinTech) on Banking Efficiency: A Comprehensive Analytical Review

This article presents a comprehensive analysis of how Financial Technology (FinTech) is transforming modern banking systems by improving operational efficiency, enhancing customer experience, and strengthening risk management frameworks. The study explores key FinTech innovations—including digital payments, blockchain, artificial intelligence-driven credit scoring, robo-advisors, and process automation—and evaluates their impact on banking performance. Using secondary data from global financial reports, industry surveys, and peer-reviewed studies, the research examines improvements in transaction speed, operational cost reduction, fraud detection accuracy, and overall user satisfaction. The findings reveal that FinTech adoption can increase banking efficiency by 40–60%, significantly reduce manual errors, and support the development of agile, customer-centric financial services. The article also discusses major challenges faced by banks, including cybersecurity risks, regulatory complexities, data privacy concerns, and high integration costs. Despite these limitations, the study concludes that FinTech is essential for the future of banking and urges financial institutions to accelerate digital transformation initiatives. This work contributes valuable insights for researchers, banking professionals, policymakers, and students interested in understanding the evolving digital finance landscape.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-06
DOI
https://doi.org/10.5281/zenodo.17837735
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Financial Technology (FinTech) on Banking Efficiency: A Comprehensive Analytical Review

Zenodo (CERN European Organization for Nuclear Research)
FinTech, Crowdfunding, Digital Finance
article

The Impact of Financial Technology (FinTech) on Banking Efficiency: A Comprehensive Analytical Review

article en

Abstract

This article presents a comprehensive analysis of how Financial Technology (FinTech) is transforming modern banking systems by improving operational efficiency, enhancing customer experience, and strengthening risk management frameworks. The study explores key FinTech innovations—including digital payments, blockchain, artificial intelligence-driven credit scoring, robo-advisors, and process automation—and evaluates their impact on banking performance. Using secondary data from global financial reports, industry surveys, and peer-reviewed studies, the research examines improvements in transaction speed, operational cost reduction, fraud detection accuracy, and overall user satisfaction. The findings reveal that FinTech adoption can increase banking efficiency by 40–60%, significantly reduce manual errors, and support the development of agile, customer-centric financial services. The article also discusses major challenges faced by banks, including cybersecurity risks, regulatory complexities, data privacy concerns, and high integration costs. Despite these limitations, the study concludes that FinTech is essential for the future of banking and urges financial institutions to accelerate digital transformation initiatives. This work contributes valuable insights for researchers, banking professionals, policymakers, and students interested in understanding the evolving digital finance landscape.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 29%
FinTech, Crowdfunding, Digital Finance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.