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Uncovering Novel Leader Trait Paradigm Through Machine Learning
Cheng Wang
, Yeye Guo
, Wenli Lim
, Zhenkun Liang
, Guihang Qin
, Zhengguang Liu
Department of Management, Marketing and Information Systems
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
Overview
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Dive into the research topics of 'Uncovering Novel Leader Trait Paradigm Through Machine Learning'. Together they form a unique fingerprint.
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Keyphrases
Machine Learning
100%
Personality Traits
100%
Big Five Traits
100%
Leadership Emergence
100%
Leader Traits
100%
Leadership Role Occupancy
100%
Machine Learning Techniques
50%
Computational Approach
50%
Non-linear Association
50%
Complex Interplay
50%
Curvilinear Relationship
50%
Machine Learning Algorithms
50%
Leadership Studies
50%
Methodological Limitations
50%
Methodological Framework
50%
Leadership Theory
50%
Leadership Outcomes
50%
Advanced Machine Learning
50%
Trait-based
50%
Between-individual Differences
50%
Novel Patterns
50%
Conventional Interpretation
50%
Social Sciences
Personality Trait
100%
Big Five
100%
Learning Method
50%
Leadership Theory
50%
Individual Differences
50%
Machine Learning Algorithm
50%
Psychology
Personality Trait
100%
Big Five Trait
100%
Individual Differences
50%
Leadership Research
50%
Learning Algorithm
50%