Arbeitspapier
An extended n-player network game and simulation of four investment strategies on a complex innovation network
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.
- Sprache
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Englisch
- Erschienen in
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Series: IFN Working Paper ; No. 1097
- Klassifikation
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Wirtschaft
Noncooperative Games
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
Criteria for Decision-Making under Risk and Uncertainty
Transactional Relationships; Contracts and Reputation; Networks
- Thema
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Complex Networks
Game Theory
Innovation
Innovation Network
Nash Equilibrium
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Zhou, Wen
Koptyug, Nikita
Ye, Shutao
Jia, Yifan
Lu, Xiaolong
- Ereignis
-
Veröffentlichung
- (wer)
-
Research Institute of Industrial Economics (IFN)
- (wo)
-
Stockholm
- (wann)
-
2015
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:41 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Zhou, Wen
- Koptyug, Nikita
- Ye, Shutao
- Jia, Yifan
- Lu, Xiaolong
- Research Institute of Industrial Economics (IFN)
Entstanden
- 2015