Neural networks and organizational systems: Modeling non-linear relationships |
| |
| Authors: | John Grznar Sameer Prasad Jasmine Tata |
| |
| Institution: | 1. University of Illinois at Springfield, College of Business and Management, One University Plaza, Springfield, IL 62703, United States;2. University of Wisconsin – Whitewater, Management Department, College of Business and Economics, Whitewater, WI 53190, United States;3. Loyola University Chicago, School of Business Administration, 820 N. Michigan Avenue, Chicago, IL 60611, United States |
| |
| 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. |
| |
| Keywords: | Organization theory Neural networks Group Outliers |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
