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Advanced bibliometric methods to model the relationship between entry behavior and networking in emerging technological communities

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  • Koenraad Debackere
  • Bart Clarysse

Abstract

Organizational ecology and social network theory are used to explain entries in technological communities. Using bibliometric data on 411 organizations in the field of plant biotechnology, we test several hypotheses that entry is not only influenced by the density of the field, but also by the structure of the R&D network within the community. The empirical findings point to the usefulness of bibliometric data in mapping change and evolution in technological communities, as well as to the effects of networking on entry behavior. © 1998 John Wiley & Sons, Inc.

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  • Koenraad Debackere & Bart Clarysse, 1998. "Advanced bibliometric methods to model the relationship between entry behavior and networking in emerging technological communities," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 49-58.
    • Handle: RePEc:bla:jamest:v:49:y:1998:i:1:p:49-58
    DOI: 10.1002/(SICI)1097-4571(1998)49:13.0.CO;2-6
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    File URL: https://doi.org/10.1002/(SICI)1097-4571(1998)49:13.0.CO;2-6
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    1. Liying Yang & Steven A. Morris & Elizabeth M. Barden, 2009. "Mapping institutions and their weak ties in a specialty: A case study of cystic fibrosis body composition research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 421-434, May.

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