Using artificial neural networks to model nonlinearity: The case of the job satisfaction-job performance relationship

Organizational Research Methods

Volumn 12, Issue 3, 2009, Pages 403-417

  Somers, Mark John ^a   Casal, Jose C ^a  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Job performance; Job satisfaction; Multiple regression; Neural networks

Indexed keywords

EID: 67649525592     PISSN: 10944281     EISSN: 15527425     Source Type: Journal    
DOI: 10.1177/1094428107309326     Document Type: Article

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