Current Research Projects
Resources for data innovation
It is often claimed, that access to high-quality data is the key component in machine learning. However, at present there is no empirical but only anecdotal evidence for this claim. The purpose of the research is to understand the importance of different resources for companies relying on machine learning. More information can be found here.
Contact: Philipp Hartmann
Industry consortia and mobile telecommunication standards
The growing number and relevance of industry consortia in ICT has triggered considerable research on the topic, especially with regards to the impact of consortia in telecommunications standard setting. Their important role in standard setting has been recognised, and often termed as "pre-standardisation". We aim at shedding light on the diversity of industry consortia, creating a systematic classification of industry consortia. Ultimately, we would like to understand how firms establish and shape industry consortia, and how this affects overall technological development in the industry.
Contact: Lisa Teubner
Patent data in management research
The availability and richness of patent data have made it a popular starting point for empirical analyses in management research. Patent data, however, is riddled with problems which have not been comprehensively addressed so far. The project analyzes in how far current research acknowledges the limitations of patent data and addresses these in their study design. The project’s goal is to improve the understanding of patent data limitations and provide suggestions for future research designs.
Contact: Katharina Tanimura
Managing cycles in innovation processes
The SFB 768/ CRC 768 devotes its efforts to improve innovation processes for integrated goods and services (product-service systems, PSS) based on technical products. The principal aim of the Collaborative Research Centre CRC 768 is to improve the effectiveness and efficiency of these innovation processes. This is a major challenge of companies in the manufacturing sector. Our team works within the two subprojects C3 and C5. Within these projects we investigate the possibility of integrating innovative users across the PSS lifecycle. We develop means and drivers for successful user integration across the innovation process.
Website CRC 768
Influencing factors on patents’ validity
Up to 75% of all patents that enter invalidation proceedings are ruled (partially) invalid. In our research we analyze the factors influencing patents’ validity. We aim at predicting the share of all patents that, if they underwent invalidation proceedings, would be ruled invalid.
Contacts: Hans Zischka, Joachim Henkel
EU research project: Cre8tv.eu
Cre8tv.eu is a multi-partner, EU-sponsored research project that seeks to unveil the significance of creativity and cultural and creative industries in Europe. Our team contributes by investigating the use of appropriability mechanisms for design innovation, in particular European design rights.
Contacts: Rainer Filitz, Joachim Henkel
Value appropriation in modular technical systems
In our research we investigate strategies for firms how to increase value capture from technical modular products.
Contacts: Alexander Hoffmann, Joachim Henkel
Lead Users inside Producer Firms
In a series of projects we investigate the behavior and contribution of "Embedded Lead Users". Embedded Lead Users integrate dual roles - being both firm employees and users of the firm's products. Our research to date shows that they are more innovative at work as well as more customer-oriented than other employees.
Contact: Christina Raasch, with Tim Schweisfurth
EU research project: Synthetic Biology
As part of the EU research project ST-FLOW in the field of Synthetic Biology, involving 15 universities (Consejo Superior de Investigaciones Científicas, Imperial College of Science, Eidgenössische Technische Hochschule Zürich, and others), we deepen the understanding of economic aspects of Synthetic Biology as commercialization, standardization and patenting of biological parts.