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Thinking differently: Assessing nonlinearities in the relationship between work attitudes and job performance using a Bayesian neural network
Mark John Somers
MT School of Management
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peer-review
48
Scopus citations
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Dive into the research topics of 'Thinking differently: Assessing nonlinearities in the relationship between work attitudes and job performance using a Bayesian neural network'. Together they form a unique fingerprint.
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Keyphrases
Artificial Neural Network
66%
Bayesian Neural Network
100%
Individual Work Performance
33%
Job Performance
100%
Network Use
33%
Neural Network Analysis
33%
Neural Network Model
33%
Nonlinear Model
33%
Nonlinear Relationship
33%
Nonlinearity
100%
OLS Regression
33%
Pattern Search
33%
Prediction Accuracy
33%
Relationship Performance
33%
Theory Development
33%
Usage Patterns
33%
Work Attitudes
100%
Computer Science
Artificial Neural Network
100%
Neural Network
100%
Neural Network Model
50%
Nonlinear Model
50%
Pattern Recognition
50%
Predictive Accuracy
50%
Recognition Algorithm
50%
Earth and Planetary Sciences
Artificial Neural Network
100%
Development Theory
50%
Network Analysis
50%
Nonlinearity
100%
Psychology
Job Performance
100%
Network Model
20%
Neural Network
100%
Pattern Recognition
20%
Theory Development
20%