Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/129658 
Erscheinungsjahr: 
2015
Schriftenreihe/Nr.: 
IFN Working Paper No. 1097
Verlag: 
Research Institute of Industrial Economics (IFN), Stockholm
Zusammenfassung: 
As computer science and complex network theory develop, non-cooperative games and their formation and application on complex networks have been important research topics. In the inter-firm innovation network, it is a typical game behavior for firms to invest in their alliance partners. Accounting for the possibility that firms can be resource constrained, this paper analyzes a coordination game using the Nash bargaining solution as allocation rules between firms in an inter-firm innovation network. We build an extended inter-firm n-player game based on nonidealized conditions, describe four investment strategies and simulate the strategies on an inter-firm innovation network in order to compare their performance. By analyzing the results of our experiments, we find that our proposed greedy strategy is the best-performing in most situations. We hope this study provides a theoretical insight into how firms make investment decisions.
Schlagwörter: 
Complex Networks
Game Theory
Innovation
Innovation Network
Nash Equilibrium
JEL: 
C72
C81
C82
D81
L14
Dokumentart: 
Working Paper

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