Forecasting authoritarian drift: Climate-based early warning signals of escalating leader control

Research on destructive leadership has largely treated authoritarian leadership as a stable individual difference, rooted in personality traits. We argue instead that authoritarian leadership may take shape over time as leader respond to organizational climates that alter the perceived legitimacy of control. We use a 4-year longitudinal panel from an Eastern European service organization, and we forecast shifts in authoritarian behavior using weighted dynamic feature selection and lagged regression models. Results reveal that deteriorating justice climate and rising perceptions of organizational politics consistently predict future increases in leader control, whereas dark traits such as narcissism and Machiavellianism, while theoretically relevant, exhibit weak standalone predictive power. Crucially, narcissism predicts control escalation only under conditions of low voice climate, suggesting a conditional activation effect. By modeling authoritarian drift as a gradual, climate-contingent pattern rather than a static trait profile, this study challenges trait-dominant perspectives and reframes despotism as an emergent response to climate erosion. The findings offer a time-sensitive diagnostic framework for anticipating leadership derailment and inform HR practices aimed at preventing control intensification before it institutionalizes.

Authors

Institutions

Publication Details

Journal
Journal of General Management
Published
2026-02-14
DOI
https://doi.org/10.1177/03063070261425449
Primary Topic
Personality Traits and Psychology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forecasting authoritarian drift: Climate-based early warning signals of escalating leader control

Yuxin LIU, Fizzah Ishaq, Arshad Fawad, Muhammad Qasim
Journal of General Management
Personality Traits and Psychology
article

Forecasting authoritarian drift: Climate-based early warning signals of escalating leader control

Yuxin LIU, Fizzah Ishaq, Arshad Fawad, Muhammad Qasim
article en

Abstract

Research on destructive leadership has largely treated authoritarian leadership as a stable individual difference, rooted in personality traits. We argue instead that authoritarian leadership may take shape over time as leader respond to organizational climates that alter the perceived legitimacy of control. We use a 4-year longitudinal panel from an Eastern European service organization, and we forecast shifts in authoritarian behavior using weighted dynamic feature selection and lagged regression models. Results reveal that deteriorating justice climate and rising perceptions of organizational politics consistently predict future increases in leader control, whereas dark traits such as narcissism and Machiavellianism, while theoretically relevant, exhibit weak standalone predictive power. Crucially, narcissism predicts control escalation only under conditions of low voice climate, suggesting a conditional activation effect. By modeling authoritarian drift as a gradual, climate-contingent pattern rather than a static trait profile, this study challenges trait-dominant perspectives and reframes despotism as an emergent response to climate erosion. The findings offer a time-sensitive diagnostic framework for anticipating leadership derailment and inform HR practices aimed at preventing control intensification before it institutionalizes.

Journal of General Management
University of International Business and Economics (CN), Southwest Jiaotong University (CN)
Climate action
Openalex Percentile: Top 58%
Personality Traits and Psychology
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.

Forecasting authoritarian drift: Climate-based early warning signals of escalating leader control — Yuxin LIU, Fizzah Ishaq, et al. · Journal of General Management (2026) | TGRS Research Map | TGRS