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

作者: Koenraad Debackere , Bart Clarysse

DOI: 10.1002/(SICI)1097-4571(1998)49:1<49::AID-ASI7>3.3.CO;2-Y

关键词:

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

参考文章(53)
G. Kreweras, Creating the corporate future European Journal of Operational Research. ,vol. 9, pp. 204- 205 ,(1982) , 10.1016/0377-2217(82)90074-1
David Teece, Gary P. Pisano, W. Shan, Joint Ventures and Collaboration in the Biotechnology Industry ,(1988)
William Jack Baumol, Contestable markets: an uprising in the theory of industry structure The American Economic Review. ,vol. 72, pp. 1- 15 ,(1982)
Donald A. Schön, Beyond the stable state ,(1971)
Philip Anderson, Michael L. Tushman, Technological Discontinuities and Dominant Designs: A Cyclical Model of Technological Change Administrative Science Quarterly. ,vol. 35, pp. 604- ,(1990) , 10.2307/2393511
Terry L. Amburgey, Glenn R. Carroll, Time-series models for event counts Social Science Research. ,vol. 13, pp. 38- 54 ,(1984) , 10.1016/0049-089X(84)90003-6
David Encaoua, Alexis Jacquemin, Degree of Monopoly, Indices of Concentration and Threat of Entry International Economic Review. ,vol. 21, pp. 87- 105 ,(1980) , 10.2307/2526242