Collaborative Networks as Determinants of Knowledge Diffusion Patterns

By Jasjit Singh. Management Sciences, 2005

1,244 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/09db202493f1e4fb4e2390b5193c95a2a8460402

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

International business travel: an engine of innovation? (2014, unknown): “See also Singh (2005), Agrawal et al. (2006), and Agrawal et al. (2008).”
Distributed R&D, Cross-Regional Knowledge Integration and Quality of Innovative Output (2008, methodology): “…further mitigated using a dummy for non-US inventors in all regressions, and also by checking the robustness of the regression finding to using only patents arising from U.S. inventors. to be a strong predictor of future knowledge flow (Frost and Zhou, 2005; Singh, 2005; Sorenson and Singh, 2007).”
Innovation, spillovers, and university-industry collaboration: An extended knowledge production function approach (2010, background): “knowledge exchange is an important mechanism for knowledge spillovers (Breschi and Lissoni 2003, 2006, Singh 2005 ).”
A Network-based view of regional growth (2014, background): “As Singh (2005) finds, simply being in the same locality is often of little benefit for diffusing knowledge from creators to other actors in a locality, with there being a need for networked interaction between these actors.”
Innovation and international business (2017, background): “These location-specific and firm-specific characteristics of technological development both depend upon social networks (Singh 2005), and so they are largely attributable to the social or human element of technology.”
Asymmetry of knowledge spillovers between MNCs and host country firms (2007, methodology): “In related projects, we are more systematically examining mechanisms such as cross-firm and cross-regional personnel mobility and interpersonal networks in shaping the worldwide fabric of innovation and knowledge diffusion (Singh, 2005; Sorenson and Singh, 2006; Singh, 2006).”
Social distance versus spatial distance in R & D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies (2007, background): “The recent studies in the field of the geography of innovation state that geography matters in the innovation process because it enhances interpersonal relationships and face-toface contacts (Zucker et al. 1994; Almeida and Kogut 1999; Singh 2005; Breschi and Lissoni 2006; Mairesse and Turner 2006).”
Global Collaborative Patents (2018, unknown): “Singh (2005), Obukhova (2009), Choudhury (2015) and Hovhannisyan and Keller (2015) study related forms of international labour mobility and technology diffusion.”
Parent Company Benefits from Reverse Knowledge Transfer: The Role of the Liability of Newness in MNEs (2011, background): “organizations (Grant, 1996; Kogut & Zander, 1992; Kogut & Zander, 1993; Singh, 2005).”
The Role of External Linkages and Gatekeepers for the Renewal and Expansion of US Cities' Knowledge Base, 1990–2004 (2015, methodology): “…is likely to decay quite rapidly with the social distance among nodes, the external reach index was computed by considering only inventor pairs for which dij ≤ 4 (BRESCHI and LISSONI, 2004; SINGH, 2005).7 Fuller details on the computation of this index are available in the Appendix to this paper.”
Emergence of New Project Teams from Open Source Software Developer Networks: Impact of Prior Collaboration Ties (2008, methodology): “…1973, Wasserman and Galaskiewicz 1994, Wellman and Berkowitz 1998), and has been used extensively in fields such as sociology (Cook and Whitmeyer 1992, Wasserman and Galaskiewicz 1994) and management (Borgatti and Foster 2003, Tsai 2001) among others (Huang and DeSanctis 2005, Singh 2005).”
On sharks, trolls, and their patent prey—Unrealistic damage awards and firms’ strategies of “being infringed” (2007, background): “But monitoring will always be imperfect, even if data base research is supported by exploiting social networks (see Singh, 2005; Sorenson et al., 2005) especially if the “creativity” of sharks increases.”
Knowledge, Networks, and Knowledge Networks (2011, background): “Likewise, the probability of knowledge transfer between individuals declines as the path length between them increases (Singh, 2005).”
Recruiting for Ideas: How Firms Exploit the Prior Inventions of New Hires (2010, unknown): “…obility on knowledge transfer, it is worth noting that mobility also influences the structure of interpersonal networks within and across firms, which in turn play an important role in further shaping knowledge diffusion patterns (Singh 2005, Fleming et al. 2007, Breschi and Lissoni 2009).”