Background: Statutory health insurers in Germany offer a variety of disease management, prevention and health promotion programs to their insurees. Identifying patients with a high probability of leaving these programs prematurely helps insurers to offer better support to those at the highest...

Financial crises cause economic, social and political havoc. Macroprudential policies are gaining traction but are still severely under-researched compared to monetary policy and fiscal policy. We use the general framework of sequential predictions also called online machine learning to forecast...

Although Machine Learning (ML) in supply chain management (SCM) has become a popular topic, predictive uses of ML in SCM remain an understudied area. A specific area that needs further attention is the prediction of late deliveries by suppliers. Recent approaches showed promising results but...

Positionierungs- und Repositionierungsentscheidungen im Rahmen der Markenführung -- Theoretische Grundlagen und aktueller Stand der Forschung -- Konzeption und Anwendung des agentenbasierten Modells im Festnetztelefonmarkt -- Schlussbetrachtung.