... tool, supplemented by machine learning-based linear regression. System GMM and two-stage least squares regressions are employed for robustness checks. Findings The findings reveal that most CGIs significantly influence all six NDTs. These results align with the existing theoretical literature...

..., sample size, period and applied machine learning algorithms. Findings The authors identified three application areas and presented details regarding the accuracy and AI methods used. Our findings show that sociotechnical and generalizable knowledge is still missing. Therefore, the authors also...

... identifying and implementing an appropriate prediction model. With the rise of machine learning algorithms, numerous new forecasting techniques have emerged. These new forecasting techniques are theoretically applicable for predicting customer payment behavior but have not yet been adequately investigated...