A power-law distribution for tenure lengths of sports managers
✍ Scribed by Toke S. Aidt; Bernard Leong; William C. Saslaw; Daniel Sgroi
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 166 KB
- Volume
- 370
- Category
- Article
- ISSN
- 0378-4371
No coin nor oath required. For personal study only.
✦ Synopsis
We show that the tenure lengths for managers of sport teams follow a power law distribution with an exponent between 2 and 3. We develop a simple theoretical model which replicates this result. The model demonstrates that the empirical phenomenon can be understood as the macroscopic outcome of pairwise interactions among managers in a league, threshold effects in managerial performance evaluation, competitive market forces, and luck at the microscopic level.
📜 SIMILAR VOLUMES
## Abstract A new Multi‐objective Fuzzy Adaptive Chaotic particle swarm optimization (MFACPSO) evolutionary algorithm for the Multi‐objective daily Optimal Operation Management (MOOM) problem with regard to fuel cell power plants (FCPPs) in distribution system is presented in this paper. The purpos