Neural networks and organizational systems: Modeling non-linear relationships

被引:9
|
作者
Grznar, John
Prasad, Sameer [1 ]
Tata, Jasmine
机构
[1] Univ Wisconsin, Coll Business & Econ, Dept Management, Whitewater, WI 53190 USA
[2] Univ Illinois, Coll Business & Management, Springfield, IL 62703 USA
[3] Loyola Univ, Sch Business Adm, Chicago, IL 60611 USA
关键词
organization theory; neural networks; group; outliers;
D O I
10.1016/j.ejor.2005.12.051
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:939 / 955
页数:17
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