This paper employs meta-analysis to aggregate and systematically analyze the mixed empirical evidence on the determinants of corporate hedging reported in 132 previously published studies covering data from more than 73,000 firms. Among the fourteen proxy variables analyzed by multivariate...

Die Digitalisierung prägt das Umfeld von Unternehmen vor allem durch neue technologische Entwicklungen in der Erfassung und Speicherung großer Datenmengen – auch bekannt als Big Data. Dies ermöglicht Unternehmen, datenbasierte Services zu entwickeln und somit ihr bestehendes...

Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated from data as a complement to physical products. However, this transformation can be complex, as different archetypes of data-driven business models require substantially...

Emerging smart manufacturing technologies combine physical production networks with digital IT systems, resulting in complex smart factory networks, which are especially vulnerable to IT security risks, such as IT component non-availabilities. Companies must employ extensive IT security measures...

Maturity models are valuable management tools for assessing and managing capabilities and therefore creating a basis for their identification, prioritization, and further development. Numerous maturity assessment methods have been developed to support organizations in applying maturity models....

Artificial intelligence (AI) offers great potential in organizations. The path to achieving this potential will involve human-AI interworking, as has been confirmed by numerous studies. However, it remains to be explored which direction this interworking of human agents and AI-enabled systems...

This study analyzes the interaction effects of corporate hedging activities of electric utility firms facing a manifold risk exposure consisting of several market price risks. We employ 16 recent introductions of markets for trading electricity derivatives as a quasi-natural experiment. The...

The aim of this study is to analyze the interaction between capital structure decisions and risk management decisions as well as the channels through which they add value to firms. Competing theories are considered in an integrated path model, which we test by means of meta-analytic structural...

Using autoregressive distributed lag modeling and structural break testing, we explore the drivers of the oil price spread between West Texas Intermediate and Brent in a data set from 1995 to 2019. We find a major structural break in December 2010 and minor breaks in 2005 and 2012. Important...

We analyze potential gains from hypothetical mergers in local public transport using the non-parametric Data Envelopment Analysis with bias corrections by means of bootstrapping. Our sample consists of 41 public transport companies from Germany's most densely populated region, North...