A survey on FinTech

By Keke Gai, Meikang Qiu, Xiaotong Sun. 2018

533 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Deep Learning for Financial Applications : A Survey (2020, background): “[7] reviewed the Fintech studies and implementations not only from an ML perspective but in general.”
Sustainability in FinTechs: An Explanation through Business Model Scalability and Market Valuation (2020, background): “This research strand has been recently well-developed [9] by considering FinTech as the key driver for financial inclusion, and sustainable balanced development, as embodied in the UN Sustainable Development Goals that are a set of 17 targets to create a sustainable world by 2030 (https://sdgs.”
Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model (2019, methodology): “Because the TAM does a good job explaining the difference in consumer willingness to adopt information technology and can be improved and speciﬁed according to the analysis problem, it has become one of the most widely used models in the ﬁeld of information technology adoption research [19].”
FinTech and commercial banks' performance in China: A leap forward or survival of the fittest? (2021, background): “FTPs rely on intelligent data processing and deep learning to create value for financial services (Gai et al., 2018).”