@misc{12695,
  abstract     = {{Previous CSCW research has paid increasing attention to regional innovation systems providing the context for CSCW research and design. In this paper we provide insights into attempts to intervene in such a regional innovation system via practice-oriented activities. Our findings describe experiences of co-creating knowledge around digitization of SMEs on a regional level, beyond individual company contexts. We reflect on the benefits and challenges such an approach affords and highlight the importance of interpersonal relationships and similarities between practices in different contexts to enable intended but also initially unexpected knowledge spillovers. Our findings highlight how a praxeological approach to CSCW can be influential in regional development programs, and open this field to CSCW research and design. We draw out lessons for similar interventions and outline fruitful avenues for future research.}},
  author       = {{Kudic, Muhamed and Krüger, Max and Gerbracht, Marc and Ahmadi, Michael and Boden, Alexander and Stein, Martin and Kotthaus, Christoph and Vitt, Nico and Unbehaun, David and Tolmie, Peter and Wulf, Volker}},
  booktitle    = {{Proceedings of the ACM on Human-Computer Interaction}},
  editor       = {{Nichols, Jeff}},
  issn         = {{2573-0142}},
  keywords     = {{Regional Development, Co-creation, Spillover, Knowledge Management}},
  pages        = {{Article No.: 86, Pages 1 -- 26}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Knowledge Spillover: Between Serendipity and Strategic Planning - Lessons for Practice-oriented Interventions into Regional Innovation Systems}}},
  doi          = {{10.1145/3637363}},
  volume       = {{8}},
  year         = {{2024}},
}

@article{622,
  abstract     = {{The objective of this paper is to depict the knowledge array of standards. This is done by identifying and analyzing external effects, specifically spillover effects. The database used is Perinorm. We use a cluster analysis in order to create groups of technology fields for German standards according to the fields of the International Classification of Standards. Methodologically, the distances between these objects or clusters are defined by the chosen distance measure, which in turn is determined by the sum of their cross references. The applied joining clustering method uses these distances between the objects and allows the data to be mapped within a two dimensional space. The results of this mapping show the existence of structures within the standards data fitting to the well-known structure of patent spillovers.}},
  author       = {{Gamber, Thilo Gerhard and Friedrich-Nishio, MNonika and Grupp, Hariolf}},
  issn         = {{1588-2861}},
  journal      = {{Scientometrics}},
  keywords     = {{Total Factor Productivity, Technological Progress, Spillover Effect, Knowledge Spillover, European Standard}},
  number       = {{1}},
  pages        = {{89--108}},
  publisher    = {{Springer}},
  title        = {{{Science and Technology in Standardization: a Statistical Analysis of Merging Knowledge Structures}}},
  doi          = {{https://doi.org/10.1007/s11192-008-0105-4}},
  volume       = {{74}},
  year         = {{2008}},
}