A5087928823- Innovation and Knowledge Management
- Business Strategy and Innovation
- Innovation Diffusion and Forecasting
- Complex Network Analysis Techniques
- Digital Platforms and Economics
- Innovation Policy and R&D
- Complex Systems and Time Series Analysis
- Innovation, Technology, and Society
- University-Industry-Government Innovation Models
- Opinion Dynamics and Social Influence
- Regional Development and Policy
- Game Theory and Applications
- Firm Innovation and Growth
- Entrepreneurship Studies and Influences
- Digital Innovation in Industries
- Transportation and Mobility Innovations
- Experimental Behavioral Economics Studies
- Private Equity and Venture Capital
- Bayesian Methods and Mixture Models
- Economic Growth and Productivity
- Digital Economy and Work Transformation
- Ecosystem dynamics and resilience
- Merger and Competition Analysis
- Laser Design and Applications
- FinTech, Crowdfunding, Digital Finance
University of Siegen
2020-2024
Folkwang University of the Arts
2024
Hans Böckler Foundation
2024
Bavarian Research Institute for Digital Transformation
2024
University of Bremen
2017-2019
Stifterverband
2014-2016
Halle Institute for Economic Research
2010-2014
Abstract We analyze transfer channels of radical innovations launched by small and medium-sized firms (SMEs) using an ego network approach. Based on a unique longitudinal dataset covering the observation period 1996–2016, we identify trace back SMEs in German Biotech order to extent which themselves—or eventually also other organizations their direct cooperation surrounding—benefit from terms subsequent innovation performance. Results negative binomial panel regressions indicate that...
The paper employs a regional innovation system concept and divides failures into three categories: institutional infrastructure, organizational landscape structural connectedness. To analyze the economic effects of systemic interventions, it VISIBLE model, which allows ex-ante policy experiments to be conducted in virtual simulation environment. First, findings show that learning knowledge exchange are accompanied by pronounced non-linearities combined strategies generate highest returns....
Previous CSCW research has paid increasing attention to regional innovation systems providing the context for and design. In this paper we provide insights into attempts intervene in such a system via practice-oriented activities. Our findings describe experiences of co-creating knowledge around digitization SMEs on level, beyond individual company contexts. We reflect benefits challenges an approach affords highlight importance interpersonal relationships similarities between practices...
We explore the determinants affecting emergence of "pervaded banking system" (PBS) – a mixed system encompassing traditional banks and continuously entering fintech companies in Austria, Germany, Switzerland. Drawing on sample 604 802 banks, we compile an unbalanced panel dataset between 2015 2019 employ fixed-effects negative binomial model to analyze tie formation processes using three analytical perspectives: (i) geographical colocation, (ii) network embeddedness, (iii) combined effects....
Focusing on 'evolution and co-evolution of regional innovation processes', this special issue addresses a highly topical subject. The contributions cover number distinct but complementary issues processes at the level provide rich insights for improvement policy designs. This editorial outlines general theme briefly summarizes main results contributions. It ends with some critical considerations an outlook future research needs.
Innovation policy and business strategy often expect that investing in private public research development will immediately produce a flow of products processes with high commercial social returns. Policymakers managers implicitly follow the logic underlying most linear innovation models assuming well-defined uni-directional relationship between R&D spending as input rents output process. Modern economics dismisses simplified approximation knowledge by investment and, instead, considers...
This study sheds light on a phenomenon that has remained widely neglected in the literature innovation networks so far: timing of network entries and consecutive research development (R&D) cooperation events. We employ an event history approach based unique industry data set encompasses entire population laser source manufacturers Germany between 1990 2010. Quarterly layers are constructed from databases publicly cofunded R&D projects. find spin-offs public organizations have considerably...
Abstract From a macro perspective, inventor networks tend to generate remarkably stable structures over time. At the same time, we observe highly dynamic processes at micro level, in terms of entries and exits as well formations terminations collaborative relationships between them. In order explain this—at least first glance—contradicting pattern, investigate intermediate network level. Our analysis draws upon co-patenting data for entire population West German inventors field laser...
Early access to technological knowledge embodied in an industry's innovation network can prove important competitive advantage for firms. Surprisingly, not much is known about the determinants of their initial entry into such networks. We analyze propensity firms entering and timing doing so. More precisely, we seek shed some light on factors affecting length time-span between a firm's founding its first cooperation event. apply unique longitudinal event history dataset based full population...
The generation of innovation is well known to be a social process depending on mutual interactions, aiming at accessing and exchanging knowledge in order generate novel goods services. Accordingly, interest interfirm networks has increased sharply over the last decade. Preceding research indicates that structural dynamics driven both by endogenous exogenous forces. In particular, we focus role determinants network evolution - category often underestimated We employ longitudinal dataset...
Abstract Using data from a survey of 3,700 German establishments, this study examines how the adoption new digital technologies correlates with key labour market indicators: hires, workload intensification and workforce qualifications. Findings interviews reveal mixed impact digitalisation on job demands employment dynamics. While some firms experience relief, others face heightened pressures. Despite widespread adoption, there is scant evidence significant losses attributed to technology...