Purpose This study explores the potential of artificial intelligence (AI) in advancing sustainability within business practices. It focuses on three key areas: optimising energy efficiency, developing sustainable products and services, and improving waste and resource management. By integrating...

This study aims to significantly enhance the predictive modeling of credit risk within Egypt's banking sector, particularly by differentiating between retail and corporate credit risks and categorizing banks into listed and non-listed groups. By utilizing a comprehensive dataset from Middle...

Purpose In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company's bottom line. Among prediction techniques,...

This work introduces a novel method for sentiment analysis in the stock market by combining Deep Neural Networks (DNN) and an improved Firefly Algorithm (FA). It is essential to comprehend investor sentiment in financial markets in order to forecast stock price movements and make wise investment...