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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
Research output
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Contribution to journal
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Article
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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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Business & Economics
Nonlinearity
100%
Work Attitudes
92%
Neural Networks
88%
Artificial Neural Network
77%
Job Performance
73%
Network Analysis
51%
Pattern Recognition
48%
Development Research
46%
Predictive Accuracy
46%
Theory Development
41%
Nonlinear Relationships
40%
Network Model
36%
Social Sciences
neural network
87%
job performance
84%
non-linear model
27%
attitude towards work
25%
pattern recognition
25%
development theory
20%
network analysis
18%
regression
11%
evidence
7%
Medicine & Life Sciences
Work Performance
97%
Computer Neural Networks
48%
Nonlinear Dynamics
48%