Although Machine Learning (ML) in supply chain management (SCM) has become a popular topic, predictive uses of ML in … paper, we show that a prediction model using a regression algorithm is capable to predict the severity of late deliveries of …

We develop a model of firm learning in volatile markets with noisy signals and test its predictions using historical … improvements from learning are faster where market signals are noisier. …

outcomes for the most vulnerable. Objective: To evaluate whether machine learning methods outperform linear regression in … predicting dropouts from a telemonitoring program. Methods: Use of linear regression and machine learning to predict dropouts … classification of dropouts compared to neural networks with a sensitivity of 56%. All machine learning algorithms outperformed linear …

This paper examines the relationship between social capital and adult learning. We test this association empirically … using measures of various types of social capital and adult learning based on the German Socioeconomic Panel. We use … for investing in various types of adult learning. The size of the effect varies across the different measures between …