Name
Abstract | ||
|---|---|---|
This paper shows how the notion of value of cooperation, a measure of the percentage of a Arm's profits due strictly to the cooperative effects among the goods it sells, can be used to analyze the relative economic advantage afforded by various organizational structures. The value of cooperation is computed from transactions data by solving a regression problem to fit the parameters of the consumer demand function, and then simulating the resulting profit-maximizing dynamic system under various organizational structures. A hierarchical agglomerative clustering algorithm can be applied to reveal the optimal organizational substructure. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IJCNN.2006.246899 | Vancouver, BC |
Keywords | Field | DocType |
organisational aspects,pattern clustering,profitability,regression analysis,consumer demand function,cooperation-based clustering,economic advantage,hierarchical agglomerative clustering algorithm,profit-maximizing dynamic system,profit-maximizing organizational design,regression problem | Hierarchical clustering,Organizational structure,Computer science,Regression analysis,Microeconomics,Organizational architecture,Demand curve,Profitability index,Artificial intelligence,Cluster analysis,Machine learning,Profit (economics) | Conference |
ISSN | ISBN | Citations |
2161-4393 | 0-7803-9490-9 | 1 |
PageRank | References | Authors |
0.48 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nghia Tran | 1 | 1 | 0.48 |
| Christophe G. Giraud-carrier | 2 | 1 | 0.48 |
| Kevin D. Seppi | 3 | 335 | 41.46 |
| Sean Warnick | 4 | 198 | 25.76 |