The extensive economic ramifications of Nigeria's banking sector's multifaceted digital
transformation are examined in this study. The" Giant of Africa," Nigeria, has undergone a …

In this systematic review of the literature on using Machine Learning (ML) for credit risk
prediction, we raise the need for financial institutions to use Artificial Intelligence (AI) and ML …

Big data‐driven innovation gains momentum in the developing world by tackling grand
challenges and making a pronounced and lasting impact. However, research has still not …

Microfinance institutions (MFIs) are critical in providing financial services to low-income
individuals in developing countries, but challenges such as inadequate infrastructure …

The data revolution transforms operations, innovation, and society through artificial
intelligence and advanced analytics. Data-driven innovations (DDI) have the most potential …

Artificial intelligence (AI), a fast-expanding technology, has the capacity to revolutionize
various industries, including microfinance. Microfinance has served an important part in …

We systematically review the data-driven innovation (DDI) literature spanning 2009–2022,
analyzing key studies, assessing the current state of DDI research in information systems …

We use structural modeling to address the allocation process of a microcredit provider
granting loans to a heterogeneous pool of applicants. Our theoretical model accounts for …

Purpose: This study aims to evaluate how digital technology integration enhances
operational efficiency and expands financial inclusion within India's microfinance sector. It …

Microfinance refers to the provision of financial services to low-income individuals and
businesses serving as a financial tool to reduce poverty and provide financial support to low …