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Book
David Scarborough and Mark John Somers · 2006
A comprehensive guide to applying artificial neural networks and pattern recognition techniques to organizational research and behavioral analysis. The work provides both theoretical foundations and practical applications for using neural networks in employee selection, organizational commitment, and other organizational behavior studies.
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What this book knows
Artificial neural networks are practical pattern-recognition tools that can discover non-linear behavioral relationships organizational researchers routinely miss.
mind-and-cognition
ANNs are pattern recognition algorithms that extract relationships among variables; some patterns lead to new ways of thinking about old problems.
NNOR-RC-033Hebb theorized that when cell A repeatedly takes part in firing cell B, some growth change takes place increasing A's efficiency in firing B.
NNOR-RC-018Pattern recognition models are not restricted to theoretically anticipated associations and will make use of all detectable predictive relationships.
NNOR-RC-086work-as-meaning
A neural network was trained to identify applicant characteristics associated with higher length of service, used by hiring managers evaluating applicants.
NNOR-RC-026Job analysis remains central to predictor construct identification; neural selection models can be studied for theoretical congruence.
NNOR-RC-073transformation
ANNs are practical pattern recognition tools being productively used in all scientific disciplines, including behavioral research in organizations.
NNOR-RC-007Illuminates
6 published passages · book excerpt · research analysis
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