In search of missing time

A review of the study of time in leadership research

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
JournalLeadership Quarterly
DOIs
StateAccepted/In press - Jan 1 2017

Fingerprint

leadership
Research
Systems Analysis
knowledge gap
dynamism
time
leader
science
Agent-based modeling

Keywords

  • Agent-based model
  • Computational science
  • Leadership
  • Process
  • Time

ASJC Scopus subject areas

  • Business and International Management
  • Applied Psychology
  • Sociology and Political Science
  • Organizational Behavior and Human Resource Management

Cite this

@article{760ca33eaf4b4f66bdf9515ca5ec7bcc,
title = "In search of missing time: A review of the study of time in leadership research",
abstract = "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.",
keywords = "Agent-based model, Computational science, Leadership, Process, Time",
author = "Elizabeth Castillo and Mai Trinh",
year = "2017",
month = "1",
day = "1",
doi = "10.1016/j.leaqua.2017.12.001",
language = "English (US)",
journal = "Leadership Quarterly",
issn = "1048-9843",
publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - In search of missing time

T2 - A review of the study of time in leadership research

AU - Castillo, Elizabeth

AU - Trinh, Mai

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

KW - Agent-based model

KW - Computational science

KW - Leadership

KW - Process

KW - Time

UR - http://www.scopus.com/inward/record.url?scp=85038387515&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85038387515&partnerID=8YFLogxK

U2 - 10.1016/j.leaqua.2017.12.001

DO - 10.1016/j.leaqua.2017.12.001

M3 - Article

JO - Leadership Quarterly

JF - Leadership Quarterly

SN - 1048-9843

ER -