Our study shows empirically that the choice of resource allocation strategy affects innovation performance. A policy of allocating resources to a broader range of innovation projects increases sales of new products, especially if these are truly novel, i.e. new to the market. The effect of...

Hidden Champions (HCs) are firms unknown to the wider public, but global leaders in the niche markets they serve. This paper looks at distinctive features of these firms, focusing on their dynamic capabilities. Employing a unique data base on German firms, we identify a representative sample of...

Our study shows empirically that the choice of resource allocation strategy affects innovation performance. A policy of allocating resources to a broader range of innovation projects increases sales of new products, especially if these are truly novel, i.e. new to the market. The effect of...

Nowadays, almost all (relevant) firms have their own websites which they use to publish information about their products and services. Using the example of innovation in firms, we outline a framework for extracting information from firm websites using web scraping and data mining. For this...

The SearchEngine is an open source project providing an integrated framework for diverse matching activities, especially the linkage of large scale firm data by fuzzy criteria like company names and addresses. At its core, it utilizes an efficient candidate retrieval mechanism implementing a...

Classical single-factor comparable company valuation (CCV) like e.g. valuation using the price-earnings ratio is associated with several shortcomings. The two most important are the non-applicability of negative values in the basis of reference and the high requirements to the qualitative...

Economic agents who face the diversity of tax systems demand condensed but sophisticated information on effective tax burdens. We analyse common features and differences between important forward-looking concepts of measuring effective tax rates in business management and economics and develop...

Cartel detection is usually viewed as a key task of either competition authorities or compliance officials in firms with an elevated risk of cartelization. We argue that customers of hard core cartels can have both incentives and possibilities to detect such agreements on their own initiative...

Actors in various settings have been increasingly relying on algorithmic tools to support their decision-making. Much of the public debate concerning algorithms - especially the associated regulation of new technologies - rests on the assumption that humans can assess the quality of algorithms....

Cartel detection is usually viewed as a key task of either competition authorities or compliance officials in firms with an elevated risk of cartelization. We argue that customers of hard core cartels can have both incentives and possibilities to detect such agreements on their own initiative...