Bjuggren, P-O. (2013). Book Review of ”’Innovation, economic growth and the firm: Theory and evidence of industrial dynamics.’ Jean-Luc Gaffard and Evens Salies (Eds).”Regional Science, 92(1): 238-239.
2022
Ekonomisk debatt, 2022(6).
Long, V. & Bjuggren, P-O. (2022). Artificiell intelligens data – att dela eller inte dela? Ekonomisk debatt, 2022(6).
2022
Bjuggren, P.O. & Long, V.
This paper decomposes the factors that govern the access and sharing of machine-generated industrial data in the artificial intelligence era. Through a mapping of the key technological, institutional, and firm-level factors that affect the choice of governance structures, this study provides a synthesised view of AI data-sharing and coordination mechanisms. The question to be asked here is whether the hitherto de facto control—bilateral contracts and technical solution-dominating industrial practices in data sharing—can handle the long-run exchange needs or not.
2019
Open innovation has rendered increased interest both in practice and research, and has expanded from dyadic transfers of ideas, to ecosystem levels. Knowledge is at the heart of open innovation, and this paper describes and discusses knowledge-transfer linkages for open innovation. It does so based on a literature review. The paper links together open innovation research with general management research to categorise and discuss linkages among parties in terms of their openness and how they relate to knowledge management. Conclusions indicate that openness needs to be considered in different dimensions that also links to different knowledge management outcomes. The paper’s contribution consists of how it connects open innovation research to the general management literature, and how it builds a practical understanding of how linkages between firms can be categorised to aid firms to consider which mechanisms they may choose and why.
