Technological revolution and regulatory innovation: How governmental artificial intelligence adoption matters for financial regulation intensity

M Pan, D Li, H Wu, P Lei - International Review of Financial Analysis, 2024 - Elsevier
In the realm of modern financial regulation, the integration of artificial intelligence (AI) is
considered to be a potential game-changer. With rapid technological advancement, AI can …

Peer effect and funding success: Analyzing friendship networks in online credit markets

H Gao, H Zhu, H Ma - Finance Research Letters, 2024 - Elsevier
The challenge of limited information in online credit markets is well-recognized. This study
examines the peer effect in microloan transactions using data from a leading Chinese …

Why do we invest online? An empirical study of online crowdfunding in China

D Chen - Nankai Business Review International, 2024 - emerald.com
Purpose The emergence of crowdfunding has provided a new way to solve the problem of
financing difficulties for start-ups. Although crowdfunding has attracted great attention from …

Analysis of how microfinance affects socioeconomic development

M Homavazir, S Mishra, A Purohit… - Multidisciplinary …, 2024 - malque.pub
Microfinance funding is widely regarded as an effective method for reducing poverty and
empowering women. The effects of microfinance from India on the empowerment of women …

RETRACTED ARTICLE: Innovation in Rural Finance: Microfinance's Impact on Prosperity and Efficiency in China

J Shen, Y Lu - Journal of the Knowledge Economy, 2024 - Springer
This paper explores the effectiveness of microfinance in boosting production and income
among rural populations across China from 2015 to 2020. Using the threestage super …

Sharing Economy: Post Adoption and Performance

IMAF Castro - 2024 - search.proquest.com
This dissertation addresses the question “How can peer-to-peer (P2P) sharing platforms
retain and win back profitable service providers and consumers?”. A structured review …

Unraveling Biases and Customer Heterogeneity in E-Commerce Recommendation Systems

S Sharma - 2024 - search.proquest.com
This research explores the biases present in AI algorithms within e-commerce
recommendation systems, focusing on how these biases prioritize popular, sponsored, and …