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Salavisa, I., Fontes, M., Sousa, C. & Videira, P. (2011). Building a bridge: social networks and technological regimes in biotechnology and software. DINÂMIA-CET/IUL Working Paper n.º 2011/17. 1-66
I. S. Lança et al., "Building a bridge: social networks and technological regimes in biotechnology and software", in DINÂMIA-CET/IUL Working Paper n.º 2011/17, Lisbon, pp. 1-66, 2011
@unpublished{lança2011_1711623728965, author = "Salavisa, I. and Fontes, M. and Sousa, C. and Videira, P.", title = "Building a bridge: social networks and technological regimes in biotechnology and software", year = "2011", url = "" }
TY - EJOUR TI - Building a bridge: social networks and technological regimes in biotechnology and software T2 - DINÂMIA-CET/IUL Working Paper n.º 2011/17 AU - Salavisa, I. AU - Fontes, M. AU - Sousa, C. AU - Videira, P. PY - 2011 SP - 1-66 CY - Lisbon AB - The paper investigates the influence of technological regimes on the composition and structure of firms’ knowledge networks. We combine insights from two hitherto unconnected bodies of research: one relating technological regimes with the nature of knowledge; and the other relating knowledge and types of innovation with network configuration. Drawing on this framework, we build a number of propositions on the relationship between firms’ networking behaviour and the regime under which they operate, operationalized at both sector and firm-level. These propositions are explored through empirical research comparing firms operating in two distinct knowledge-intensive sectors, namely biotechnology, which is commonly considered more science-based, and software, thought of as mostly technology-based. As expected, we found that distinct technological regimes affect the knowledge search/exchange process, and thus have an impact upon the network building strategies of the firms. The results also reveal that sector-based technological regimes have a greater explanatory capacity than firm-based regimes that cross sectoral boundaries. The use of different approaches and techniques, together with the combination of sector and firm level analyses, provided a tool that enabled a deeper understanding of the variety of networking behaviours among knowledge-intensive firms. ER -