Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
479133 | European Journal of Operational Research | 2007 | 17 Pages |
Abstract
For decades, organizational researchers have employed standard statistical methods to uncover relationships among variables and constructs. However, in complex organization systems, the prevalence of non-linearity and outliers is to be expected. Under such circumstances, the use of standard statistical methods becomes unreliable and, correspondingly, results in degraded predictions of the relationships within the organizational systems. We describe the use of neural network analyses to model team effectiveness so as to provide more accurate predictions for managers.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
John Grznar, Sameer Prasad, Jasmine Tata,