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...

While the amount of data keeps growing, managers ask themselves whether they already retrieve full value from their data. To maximize the value of big data, literature offers first insights in building BDA capabilities (Gupta and George 2016, p; Mikalef et al. 2018). Nevertheless, BDA remains a...

This study intends to provide scholars and practitioners with an understanding of human resource challenges in the context of Big Data Analytics (BDA). This paper provides a holistic framework of human-related capabilities that organizations must consider when implementing BDA to facilitate...

Nowcasting has been a challenge in the recent economic crisis. We introduce the Toll Index, a new monthly indicator for business cycle forecasting and demonstrate its relevance using German data. The index measures the monthly transportation activity performed by heavy transport vehicles across...

Using CPS data for the period 1979-2009, the wage dispersion of truck drivers (and subsets of the truck driving sample) is compared to the trends in wage dispersion of males economy-wide. We find that truckers' wages experienced a decrease in inequality post-deregulation, as expected given the...

Personalabteilungen gelten traditionell als wenig datenaffin, geraten aber immer stärker unter Druck, die Wirksamkeit betrieblicher Personalmanagementaktivitäten und Mitarbeiterinvestitionen auszuweisen. Vor diesem Hintergrund wächst das Interesse an "Workforce-" bzw. "People Analytics",...

Die Markttransparenzstelle für den Großhandel mit Strom und Gas verwaltet Daten zu Absatzmengen und Preisen von Verträgen zu Strom und Gas. Diese Daten werden zur Verhinderung von Marktmanipulationen erhoben; sie stellen gleichzeitig eine neue vielversprechende Quelle für die Preisstatistik...