2015
DOI: 10.1002/smj.2419
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Pipes, pools, and filters: How collaboration networks affect innovative performance

Abstract: Research summary: Innovation requires inventors to have both new knowledge and the ability to combine and configure knowledge (i.e., combinatory knowledge), and such knowledge may flow through networks. We argue that both combinatory knowledge and new knowledge are accessed through collaboration networks, but that inventors' abilities to access such knowledge depends on its location in the network. Combinatory knowledge transfers from direct contacts, but not easily from indirect contacts. In contrast, new kno… Show more

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Cited by 84 publications
(82 citation statements)
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“…To mitigate the simultaneity and endogeneity brought by reverse causality, we adopt other scholars' approaches (Singh et al, 2015;Tether and Bascavusoglu-Moreau, 2012), introducing the longitudinal design, wherein independent variables measured in a prior period with dependent variables in the subsequent period. We utilize alternative energy patents granted in the period from 2003 to 2007 to measure the independent variables and use alternative energy patents granted between 2008 and 2012 to calculate the dependent variable.…”
Section: Setting and Datamentioning
confidence: 99%
“…To mitigate the simultaneity and endogeneity brought by reverse causality, we adopt other scholars' approaches (Singh et al, 2015;Tether and Bascavusoglu-Moreau, 2012), introducing the longitudinal design, wherein independent variables measured in a prior period with dependent variables in the subsequent period. We utilize alternative energy patents granted in the period from 2003 to 2007 to measure the independent variables and use alternative energy patents granted between 2008 and 2012 to calculate the dependent variable.…”
Section: Setting and Datamentioning
confidence: 99%
“…Alliances are a key channel for knowledge sourcing (Aggarwal & Wu, 2019;Alvarez & Barney, 2001;Beckman & Haunschild, 2002;Dyer & Singh, 1998;Rosenkopf & Almeida, 2003;Rothaermel, Hitt, & Jobe, 2006;Villalong & McGahan, 2005), enabling the expansion and renewal of a firm's knowledge base (Agarwal & Helfat, 2009;Capron & Mitchell, 2009;Hoang & Rothaermel, 2010;Sosa, 2011). R&D alliances in particular allow firms to learn, to gain access to information they may not otherwise be able to access, and to develop crucial "know-how" that is of use in the innovation process (Ahuja, 2000;Hamel, 1991;Kale, Singh, & Perlmutter, 2000;Schilling & Phelps, 2007;Singh, Kryscynski, Li, & Gopal, 2016;Vasudeva & Anand, 2011). These benefits span not only the context of the particular relationship in which firms are engaged, but spillover to the broader set of firm activities-that is, knowledge acquired in one context can facilitate knowledge creation efforts more broadly (Doz, 2017;Gambardella & Panico, 2017;Kale, Dyer, & Singh, 2002;Khanna, Gulati, & Nohria, 1998).…”
Section: Network Perspective On Alliances and Innovationmentioning
confidence: 99%
“…Rodan & Galunic, 2004). A recent study by Singh et al (2016) supports this claim and shows how different knowledge types available from direct and indirect network contacts influence individual innovative outcomes. This means that network structural characteristics alone do not fully explain innovation outcomes at the ego-level.…”
Section: Introductionmentioning
confidence: 77%