Collaboration network analysis for competitive intelligence
Keywords:Collaboration analysis, competitive intelligence, dynamic network analysis, network analysis, patents
AbstractThe analysis of collaborations is an important aspect of competitive intelligencestudies. 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 becomeincreasingly large, especially in a dynamic setting, is a difficult task. Communication on thesequestions is complex for the same reason. In this paper I propose a method that allows for theidentification of collaboration strategies in a static and dynamic setting that also makes it easierto communicate the results. An application of the method is also provided to illustrate how themethod can be used for competitive intelligence studies.
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,
Burt, Ronald S. Structural holes and good ideas1.
American journal of sociology, 110(2):349–399,
Cohen, W. M. and Levinthal, D. A.. Absorptive
capacity: A new perspective on learning and
innovation. Administrative Science Quaterly,
(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–
Gulati, R. Social structure and alliance formation
patterns a longitudianl analysis.
Administrative Science Quaterly, 40:619–652,
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
McEvily, Bill and Marcus, Alfred. Embedded ties
and the acquisition of competitive capabilities.
Strategic Management Journal, 26(11):1033–
Oxley, Joanne E and Sampson, Rachelle C. The
scope and governance of international r&d
alliances. Strategic Management Journal,
(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,
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–
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,
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
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–
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.
Copyright (c) 2022 Journal of Intelligence Studies in Business
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).