We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe. Innovation concentration is considered as pattern of specialization among innovation types. We examine patent registration data and...

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe, considering patterns of specialization among innovation types. We combine patent registration data and other innovation and economic data...

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe, considering patterns of specialization among innovation types. We combine patent registration data and other innovation and economic data...

Sustainability is a major issue in the automotive sector and players are at different points in their transition. Adopting a multi‐method approach, we identify the positioning of automotive manufacturers in relation to sustainability, highlighting the main foci of their sustainability...

This paper introduces two indicators for innovation, showing the allocation of innovation and its inherent diversity. Both indicators can give insights for regional innovation policy conception. The first indicator measures the share of patents in research and development expenditure, proposing...

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe. Innovation concentration is considered as pattern of specialization among innovation types. We examine patent registration data and...