We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...

Today's economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects the retail industry. This new situation imposes...

Scientific, political and bureaucratic elites use epistemic practices like “big data analysis” and “web scraping” to create representations of the citizenry and to legitimize policymaking. I develop the concept of “demos scraping” for these practices of gaining information about...

KI-Modelle und Machine-Learning-Anwendungen halten Einzug in die alltägliche Praxis von Unternehmen und können mitbestimmt werden. Um die Interessen und Rechte der Beschäftigten zu berücksichtigen und zu schützen, sollten die aktuellen Regelungen in betrieblichen IT-Vereinbarungen...

Big Data (BD) is becoming widely available and manageable. This raises the question of whether Big Data Analytics (BDA) in companies leads to better decision-making andhence performance. Based on a large, representative set of start-ups in Germany, we study the adoption of BDA among small and...

Jede Führungskraft setzt sich immer wieder mit Fragen der Unternehmensstrategie auseinander. Was sind die angestrebten Ziele, was sind die "richtigen" Dinge, die es zu tun gilt? Während strategische Überlegungen eine hohe Bedeutung haben, stehen sie doch meist im Schatten des dominanten...