Many studies describe leadership as a dynamic process. However, few examine the passage of time as a critical dimension of that dynamism. This article illuminates this knowledge gap by conducting a systematic review of empirical studies on temporal effects of leadership to identify if and how time has been considered as a factor. After synthesizing key findings from the review, the article discusses methodological implications. We propose that a computational science approach, particularly agent-based modeling, is a fruitful path for future leadership research. This article contributes to leadership scholarship by shedding light on a missing variable (time) and offering a novel way to investigate the temporal, dynamic, emergent, and recursive aspects of leadership. We demonstrate the usefulness of agent-based modeling with an example of leader-member exchange relationship development.
- Agent-based model
- Computational science
ASJC Scopus subject areas
- Business and International Management
- Applied Psychology
- Sociology and Political Science
- Organizational Behavior and Human Resource Management