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danish research unit for industrial dynamics druid working paper no ...

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7PrefaceWe are happy to integrate international scholars in the DRUID network and to publish theircontributions in the DRUID <strong>working</strong> <strong>paper</strong> series. This is especially so when <strong>paper</strong>sanalyze phe<strong>no</strong>mena that are at the core of <strong>research</strong> programme of DRUID.A common concern <strong>for</strong> the programme as a whole is the relationship between k<strong>no</strong>wledgecreation and eco<strong>no</strong>mic development. Learning is regarded as a process that is fundamental<strong>for</strong> the per<strong>for</strong>mance of firms, networks and national systems of in<strong>no</strong>vation. To betterunderstand what is learnt, how and by whom is fundamental <strong>for</strong> making progress in thisrespect. This <strong>paper</strong> by Natalie Lazaric and Luigi Marengo makes an important contributionin this respect. The focus is on learning in connection with tech<strong>no</strong>logy agreements betweenfirms from respectively the automobile sector and the robotics sector.Distinctions are made between different kinds of k<strong>no</strong>wledge in terms of degree ofcodification, generality and centrality and it is shown that these factors have an impact onhow and to what degree learning takes place. The <strong>paper</strong> also demonstrates the limits oftransaction cost analysis when it comes to explain tech<strong>no</strong>logical agreements.We hope to be able to bring more contributions of this kind where the analysis of learningand k<strong>no</strong>wledge is concrete and empirically based. A key to make eco<strong>no</strong>mics more relevantis to develop a better understanding of the eco<strong>no</strong>mics of k<strong>no</strong>wledge-creation and of thelearning eco<strong>no</strong>my.Bengt-Åke Lundvall

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