Science and the Diffusion of Knowledge

By Olav Sorenson, Lee Fleming. 2004

81 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/b5cf4e4d1504bacf81aa5fed8e5def10fb01fdcf

Citations in the corpus

• In Search of Performance Effects of (In)Direct Industry Science Links (2008, unknown): “The dissemination of scientific advances through open science reduces the degree of redundant effort providing useful information about technological opportunities, new industrial applications or re-combination of existing knowledge pieces (Sorenson and Fleming, 2004).”
• Detecting emerging research fronts based on topological measures in citation networks of scientific publications (2008, unknown): “In fact, Sorenson and Fleming observed that patents that refer to scientific materials receive more citations (Sorenson and Fleming, 2004; Fleming and Sorenson, 2004).”
• Asymmetry of knowledge spillovers between MNCs and host country firms (2007, unknown): “Sorenson and Fleming (2004) and Singh (2005) have also used WESML specifically for predicting patent citations. same time period (Jaffe et al., 1993).”
• Innovation and SMEs: Misaligned perspectives and goals among entrepreneurs, academics, and policy makers (2008, unknown): “…based on outputs are, for example, number of patents (Deyle and Grupp, 2005; Jaffe and Trajtenberg, 2002), information disseminated in literature (Sorenson and Fleming, 2004), the absolute amount of sales of innovative products (Negassi, 2004), the number of innovations (Brower and Kleinknecht,…”
• A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research (2006, unknown): “Moreover, there appears to be a growing number of conferences that are purely for-profit and run by questionable organizations ( Sorenson & Fleming, 2004 ).”
• Networks, Propinquity, and Innovation in Knowledge-intensive Industries (2009, unknown): “These benefi ts are further amplifi ed by the fact that public research organizations operate largely according to the norms of open science, thus the research discoveries and techniques they make are more accessible than those made by fi rms (OwenSmith and Powell, 2004; Sorenson and Fleming, 2004).”
• Innovator networks and regional knowledge base (2008, unknown): “In this sense the regional network in Alpes-Maritime shows a structural similar to the wine cluster of Colline Pisane identified by Giuliani (2005), whereas the regional knowledge network in Jena is similar to the network of Silicon valley analyzed by Sorenson & Fleming (2004).”
• Information-Sharing in Academia and the Industry: A Comparative Study (2011, unknown): “My findings have a range of implications for public policy. revious research has shown that with regard to public policy, t is desirable that information is shared and publicly disclosed e.g., Sorenson and Fleming, 2004), but has rarely provided action lans or recommendations.”