... understanding of how big data, blockchain, artificial intelligence and machine learning are influencing various accounting domains. Corresponding author Ikhlaas Gurrib ikhlaas@cud.ac.ae 25 01 2025 01 07 2025 07 08 2025 19 08 2025 © 2025 Emerald Publishing Limited 2025...

...Fahim Afzal; Farman Afzal; Muhammad Kamran; Haiying Pan Purpose The fast development of artificial intelligence ( AI ) and machine learning techniques can help develop precise and trustworthy forecasting models with precision to predict the volatile and irregular stock behavior in the market...

... set from 2012 to 2022, retrieved from the Eikon Reuter database. Different machine learning tools such as decision trees, random forests, gradient boosting and deep neural networks have been applied to capture the non-linear relationship and co-movement among the variables. Furthermore, K-clustering...

... that are crucial for assessing creditworthiness of the Islamic banks, thereby evaluating the stability of their industry. Design/methodology/approach Three distinct machine learning algorithms are exploited and evaluated for the desired objective. This research initially uses the decision tree machine learning...

.... Design/methodology/approach This study uses machine-learning tools to build a happiness function and integrate it in an agent-based model to test for the direct and indirect welfare effects of implementing Islamic banking principles. Findings This study shows that even though Islamic banking systems...

... and non-Muslim customers have subscribed to the products. Thus, it is critical to analyse the strategy of IBs’ moral messages in reminding their Muslim and non-Muslim customers to repay their credit card debts. This paper aims to investigate this issue in Indonesia using data mining via machine learning...