Cloud-Computing ist für Unternehmen eine kostengünstige und flexible Art der IT-Nutzung, ohne dass Investitionen in die eigene, teure und starre IT-Infrastruktur notwendig sind. Daher wird erwartet, dass die Nutzung von Cloud-Diensten sich in geringeren IT-Investitionen niederschlägt und zugleich die Produktivität erhöht. Ob dem tatsächlich so ist, wird mit Hilfe von aktuellen aggregierten Daten und ...
Using data from the European Social Survey, we examine income fairness evaluations of 17,605 respondents from 28 countries. Respondents evaluated the fairness of their own incomes as well as the fairness of the incomes of the top and bottom income deciles in their countries. Depicted on a single graph, these income fairness evaluations take on a Z-shaped form, which we call the "inequity Z". The inequity ...
The literature on the effects of incentives in survey research is vast and covers a diversity of survey modes. The mode of probability-based online panels, however, is still young and so is research into how to best recruit sample units into the panel. This paper sheds light on the effectiveness of a specific type of incentive in this context: a monetary incentive that is paid conditionally upon panel ...
Die Bedeutung der internationalen Beschaffung von Vorleistungen hat in den zurückliegenden Dekaden zugenommen. Dies gilt auch für Güter aus dem Bereich der Informations- und Kommunikationstechnologien (IKT), beispielsweise Mikrochips, die ein wichtiger Input in der heimischen Produktion sind und das Fundament einer digitalisierten Wirtschaft bilden. Die meisten Unternehmen setzen bei ihren Importen ...
This study explores the relationship between artificial intelligence (AI) and workers’ well-being and mental health using longitudinal survey data from Germany (2000-2020). We construct a measure of individual exposure to AI technology based on the occupation in which workers in our sample were first employed and explore an event study design and a difference-in-differences approach to compare AI-exposed ...
Panel studies have become an indispensable part of today's research world especially when addressing causal questions and tracking changes over time. Three conditions are essential for effective panel data analysis: 1) having a sufficiently long time series with a substantial number of observations, 2) ensuring measurement consistency over time, and 3) using a meaningful model for selecting elements ...
Mobile sensing is a promising method that allows researchers to directly observe human social behavior in daily life using people's mobile phones. To date, limited knowledge exists on how well mobile sensing can assess the quantity and quality of social interactions. We therefore examined the agreement among experience sampling, day reconstruction, and mobile sensing in the assessment of multiple aspects ...