This paper develops a simulation model to compare the performance of two stylized manufacturing networks: the lead factory network (LFN) and the archetype network (AN). The model identifies the optimal network configuration and its implications for coordination mechanisms. Using an NK simulation...

This paper analyses the effectiveness of knowledge transfer between research and development (R&D) and intra-firm production units. Specifically, two distinct network structures are compared: the lead factory concept and traditional networks of R&D and production. Based on an analytical...

This paper develops a contest model of a professional sports league in which clubs maximize a weighted sum of profits and wins (utility maximization). The model analyzes how more win-orientated behavior of certain clubs affects talent investments, competitive balance and club profits. Moreover,...

This paper develops a model of a professional sports league with network externalities by integrating the theory of two-sided markets into a contest model. In professional team sports, the competition of the clubs functions as a platform that enables sponsors to interact with fans. In these...

This paper outlines how the theory of contests is applied to professional team sports leagues. In the first part, we present the traditional Tullock contest and explain some basic properties of the equilibrium. We will then extend this static contest to a two-period model in order to analyze...

This paper outlines and compares the organizational structure of major sports leagues, explores the reasoning behind their formation, and derives implications for salary caps in European football. To understand why sports leagues have developed a specific organizational structure, one must take...

Executive pay regulation is widely discussed as a measure to reduce financial mismanagement in corporations. We show that the professional team sports industry, the only industry with substantial experience in the regulation of compensation arrangements, provides valuable insights for the...