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- W3149501018 abstract "Social appears to be a promising way to analyze knowledge collaborations, notably to better understand their build up and their spatial patterns. Nevertheless, measurement problems and an over-territorialized conception of notion exist. When studying formation of these partnerships, authors have underlined of innovators in social ties as a major factor (Walker, Kogut, 1994 ; Zucker et al., 1998); others have shed light on institutional devices (Ponomariov, Boardman, 2010 ; Eom, Lee, 2010), but few have integrated both relational and institutional forms of embeddedness. Moreover, embeddedness is mostly conceived of as a spatial concept related to local and regional levels of analysis (Hess, 2004): scholars argued (Moka et al., 2007) and showed (Fischer, 1982 ; Wellman, 1996; Grossetti, 2002) that social ties easily build-up in neighborhood. They thus conclude social favors local partnerships without demonstrating it really. Finally at empirical level, precise data are missing to identify social (Giuri, Mariani, 2007). Therefore, regarding existing studies, the analytical scales and spatiality of needs to be scrutinized (Hess, 2004) theoretically and empirically to determine who is embedded, in what and what is so spatial about it ? (Pike et al., 2000). We propose here to address this deficit thanks to formulation of a method robust enough. In this perspective, an analytical framework which does not postulate social network hegemony is needed. We realized further theoretical refinements by introducing concept of « coordination resources » to indicate modalities that permit connections between actors without using interpersonal ties. To identify effects, we then present an original method essentially based on interviews. We use it to a group of 264 cases of science-industry collaborations realized in France. Several results are revealed thanks to statistical and econometric treatments. We reaffirm major weigh of social in build-up of partnerships and complementary role of coordination resources. Social appears to be independent from partners features. It nevertheless impacts geography of partnership although it is not possible to associate systematically social and local collaborations." @default.
- W3149501018 created "2021-04-13" @default.
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- W3149501018 date "2011-01-01" @default.
- W3149501018 modified "2023-09-26" @default.
- W3149501018 title "Measuring social embeddedness : how to identify social networks in science-industry partnerships ?" @default.
- W3149501018 hasPublicationYear "2011" @default.
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