Collaboration network analysis for competitive intelligence
DOI:
https://doi.org/10.37380/jisib.v11i3.711Keywords:
Collaboration analysis, competitive intelligence, dynamic network analysis, network analysis, patentsAbstract
The analysis of collaborations is an important aspect of competitive intelligence studies. Collaborations show who players turn to in order to gain access to external knowledge. Networks are often used to analyze collaborations. However, analyzing networks that become increasingly large, especially in a dynamic setting, is a difficult task. Communication on these questions is complex for the same reason. In this paper I propose a method that allows for the identification of collaboration strategies in a static and dynamic setting that also makes it easier to communicate the results. An application of the method is also provided to illustrate how the method can be used for competitive intelligence studies.
References
Ahuja, Gautam. Collaboration networks, structural holes, and innovation: A longitudinal study. Administrative science quarterly, 45(3):425–455, 2000.
Borgatti, Stephen P and Halgin, Daniel S. On network theory. Organization science, 22(5):1168–1181, 2011.
Burt, Ronald S. Structural holes and good ideas1. American journal of sociology, 110(2):349–399, 2004.
Cohen, W. M. and Levinthal, D. A.. Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quaterly, 35(1):128– 152, 1990.
Cowan, Robin and Jonard, Nicolas. Structural holes, innovation and the distribution of ideas. Journal of Economic Interaction and Coordination, 2 (2):93–110, 2007.
Fagerberg, J. Mowery, D.C. and Nelson, R.R. The oxford handbook of innovations. Fagerberg, DC Mowey, 2004.
Flamand, Marina. 2016. Le déploiement de l'intelligence technologique dans le processus d'innovation des firmes: quels objectifs, enjeux et modalités pratiques?: Une application à l'industrie automobileu (Doctoral dissertation, Université de Bordeaux).
Garcia-Garcia, Leonardo, A. and Rodríguez, Marisela. "Competitive and technology intelligence to reveal the most influential authors and inter-institutional collaborations on additive manufacturing for hand orthoses." Journal of Intelligence Studies in Business 8.3 (2018).
Granovetter, Mark. The strength of weak ties. American journal of sociology, pages 1360– 1380, 1973.
Gulati, R. Social structure and alliance formation patterns a longitudianl analysis. Administrative Science Quaterly, 40:619–652, 1995.
Hargadon, Andrew B. Brokering knowledge: Linking learning and innovation. Research in Organizational behavior, 24:41–85, 2002.
Jürgens, Björn, and Victor Herrero-Solana. "Patent bibliometrics and its use for technology watch." Journal of Intelligence Studies in Business 7.2 (2017): 17-26.
Kesteloot, Katrien and Veugelers, Reinhilde. Stable r&d cooperation with spillovers. Journal of Economics & Management Strategy, 4(4):651–672, 1995.
Kilduff, Martin and Brass, Daniel J. Organizational social network research: Core ideas and key debates. The academy of management annals, 4(1): 317–357, 2010.
Kogut, Bruce and Zander, Udo. Knowledge of the firm, combinative capabilities, and the replication of technology. Organization science, 3(3):383–397, 1992.
Masrurul, Mowla Mohammad et al. An overview of strategic alliance: Competitive advantages in alliance constellations. Advances In Management, 2012.
McEvily, Bill and Marcus, Alfred. Embedded ties and the acquisition of competitive capabilities. Strategic Management Journal, 26(11):1033– 1055, 2005.
Oxley, Joanne E and Sampson, Rachelle C. The scope and governance of international r&d alliances. Strategic Management Journal, 25(8-9):723– 749, 2004.
Porter, James J and Birdi, Kamal. 22 reasons why collaborations fail: Lessons from water innovation research. Environmental science & policy, 89:100– 108, 2018.
Porter, Michael. The economic performance of regions. Regional studies, 37 (6-7):545–546, 2003.
Powell, Walter W., Koput, Kenneth W. and Smith-Doerr, Laurel. Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative science quarterly, pages 116– 145, 1996.
Reagans, Ray E. and Zuckerman, Ezra W. Why knowledge does not equal power: the network redundancy trade-off. Industrial and Corporate Change, 17(5):903–944, 2008.
Saviotti, Pier Paolo. On the dynamics of generation and utilisation of knowledge: The local character of knowledge. Structural change and economic dynamics, 18:387–408, May 2007.
Shaikh, Shabib-Ahmed and Singhal, Tarun Kumar. "An analysis of IP management strategies of ICT companies based on patent filings." Journal of Intelligence Studies in Business 8.2 (2018).
Tomasello, Mario Vincenzo, Napoletano, Mauro, Garas, Antonios and Schweitzer, Frank. The rise and fall of r&d networks. arXiv preprint arXiv:1304.3623, 2013.
Tsai, Wenpin. Knowledge transfer in intraorganizational networks: Effects of network position and absorptive capacity on business unit innovation and performance. Academy of management journal, 44(5):996– 1004, 2001.
van der Pol, Johannes. Explaining the structure of collaboration networks: from firm-level strategies to global network structure. Les cahiers du GREThA, 2018.
Watson, John. Modeling the relationship between networking and firm performance. Journal of Business Venturing, 22(6):852–874, 2007.
Williamson, Oliver E. The economic institutions of capitalism. firms, markets, relational contracting. In Das Summa Summarum des Management, pages 61–75. Springer, 2007.
Zaheer, Akbar, McEvily, Bill and Perrone, Vincenzo. Does trust matter? exploring the effects of interorganizational and interpersonal trust on performance. Organization science, 9(2):141–159, 1998.
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