Revisiting the nature and strength of the personality–job performance relations: New insights from interpretable machine learning.

Authors

Institutions

Publication Details

Journal
Journal of Applied Psychology
Published
2024-08-12
DOI
https://doi.org/10.1037/apl0001218
Citations
7
Primary Topic
Personality Traits and Psychology
Type
article
Field-Weighted Citation Impact
4.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revisiting the nature and strength of the personality–job performance relations: New insights from interpretable machine learning.

In‐Sue Oh, Q. Chelsea Song, Chaehan So, Yesuel Kim
7 citations
Journal of Applied Psychology
Personality Traits and Psychology
4.47
article

Revisiting the nature and strength of the personality–job performance relations: New insights from interpretable machine learning.

In‐Sue Oh, Q. Chelsea Song, Chaehan So, Yesuel Kim
article en
7 citations

Abstract

No abstract available for this paper.
Journal of Applied PsychologyVol. 110(1)
European Peacebuilding Liaison Office (BE), New York University (US), Indiana University (US), Temple University (US)
Lilly Endowment
Decent work and economic growth
Openalex Percentile: Top 5%
Personality Traits and Psychology
4.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.