An analysis of applying artificial neural networks for employee selection

被引：0

作者：

Kirby, EJ ^{[1
]}

Kwon, O ^{[1
]}

Dufner, D ^{[1
]}

Palmer, J ^{[1
]}

机构：

[1] Univ Illinois, Sch Business & Management, Dept Management Informat Syst, Springfield, IL 62794 USA

来源：

ASSOCIATION FOR INFORMATION SYSTEMS PROCEEDINGS OF THE AMERICAS CONFERENCE ON INFORMATION SYSTEMS | 1998年

关键词：

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper describes the research and development of an artificial neural network system as a decision aid for employee selection. The ability of the artificial neural network to recognize patterns even using noisy data for employee selection and performance evaluation suggests this framework has significant potential advantage over traditional statistical models, such as regression analysis. Further, the neural model eliminates several methodological problems associated with the use of multiple regression, including nonlinearity, incorrect function form specification and heteroskedasticity.

引用

页码：76 / 77

页数：2

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