How some firms manage to capture more value than others is a question central to practitioners and researchers alike. In this context, Timo Fischer conducts three empirical studies. The first study analyzes non-linearities in the effectiveness of appropriability mechanisms and interactions...

The valuation of patents is an important, albeit challenging task. Extant research to identify patent value indicators has so far relied on expert estimates of patent value, exploited patent renewal data, or depended on more indirect measures of patent value. Recently, specialized market places...

The ability of firms to effectively use mechanisms that support them in profiting from technological innovation is key to outperforming competitors. Yet, such mechanisms have, for the most part, been studied in isolation, without accounting for interactions between them. We address this gap by...

Patent trolls, or NPEs, appropriate profits from innovation solely by enforcing patents against infringers. They are often characterized as relying on low-quality patents, an assessment that, if correct, would imply that eradicating such patents would effectively terminate the NPE business. In...

For classical goodness-of-fit tests as well as for their modified versions in case of Type-II right censored data, results of a simulation study are presented, where the powers of the tests under consideration against beta alternatives are illustrated in informative, user-oriented plots that...

Effects of truncation in self-similar continuous unitary transformations (S-CUT) are estimated rigorously. We find a formal description via an inhomogeneous flow equation. In this way, we are able to quantify truncation errors within the framework of the S-CUT and obtain rigorous error bounds...

In this paper, a mixture representation for the joint distribution function of progressively Type-II censored order statistics from heterogeneous distributions is established. Applications of this representation to stochastic orderings and inequalities are then illustrated.