An extended n-player network game and simulation of four investment strategies on a complex innovation network

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IFN Working Paper ; No. 1097

Classification and Topics

• Classification: 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
• Subject: Complex Networks ; Game Theory ; Innovation ; Innovation Network ; Nash Equilibrium

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Zhou, Wen ; Koptyug, Nikita ; Ye, Shutao ; Jia, Yifan ; Lu, Xiaolong
• Event: Veröffentlichung
• (who): Research Institute of Industrial Economics (IFN)
• (where): Stockholm
• (when): 2015

Further information

• Handle: http://hdl.handle.net/10419/129658
• Last update: 10.03.2025, 11:41 AM CET