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- W4289782009 abstract "This paper examines brokerage dynamics in technology transfer networks (TTNs), i.e., hybrid networks of different actors operating in the transitional area between knowledge and business ecosystems (i.e., innovation ecotones), with research organizations as anchor tenants. This particular type of network is gaining increasing attention. However, despite evidence of the importance of brokerage dynamics for knowledge mobility anchored in science and technology research, three main questions remain open: Who acts as network broker in TTNs? What are their specific functions? What mechanisms do they adopt to support these functions? To answer these questions, we conducted an in-depth multi-case study focusing on three European centers of excellence in scientific research, namely the University of Cambridge (UK), the École Polytechnique Fédérale de Lausanne (Switzerland), and the Italian Institute of Technology (Italy). We find that institutional actors as well as individuals act as network brokers in TTNs, and that brokerage manifests with varying degrees of formalization related to the TTN's level of maturity. We also identify six network brokerage functions, namely conflict resolution, spreading knowledge, linking idea fragments, connecting problems to solutions, expanding the network, and strengthening the network, and five mechanisms, namely endorsement, mediation, events, antennas, and digital support systems, that support these functions. • The notion of technology transfer network (TTN) is introduced and conceptualized. • Brokerage dynamics in TTNs are investigated through an in-depth multi-case study. • Institutional actors as well as individuals act as network brokers in TTNs. • TTNs with a higher level of maturity manifest less formalized brokerage dynamics. • Six key brokerage functions, supported by five mechanisms, are found." @default.
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- W4289782009 date "2022-10-01" @default.
- W4289782009 modified "2023-09-26" @default.
- W4289782009 title "Brokerage dynamics in technology transfer networks: A multi-case study" @default.
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- W4289782009 doi "https://doi.org/10.1016/j.techfore.2022.121895" @default.
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