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Neural Networks in Organizational Research: Applying Pattern Recognition to the Analysis of Organizational Behavior {APA} - David Scarborough & Mark Somers [Seduction28]

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Description

 							
  
  While the term neural networks may
be unfamiliar to many organizational psychologists, exciting new applications of artificial intelligence are attracting
notice among organizational behavior researchers. 
  
  In "Neural Networks in Organizational Research:
Applying Pattern Recognition to the Analysis of Organizational Behavior", authors David Scarborough and Mark Somers
bring researchers, academics, and practitioners up to speed on this emerging field, in which powerful computing
capabilities offer new insights into longstanding, complex I/O questions such as employee selection and behavioral
prediction. 
  
  Neural networks mimic the way the human brain works, using interconnected nodes and feedback
loops to "learn" to recognize even subtle patterns in vast amounts of data. They can process data far more quickly and
efficiently than conventional techniques can, and produce better empirical results. They are especially useful for
modeling nonlinear processes. 
  
  The book traces the development of this methodology and demonstrates how
it opens up new ways of thinking about traditional problems. Academic researchers will gain a design template for
studying both the linear and non-linear elements of a given problem, and thus enhance their own research. 						

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