The topology of collective leadership

被引:162
作者
Contractor, Noshir S. [2 ]
DeChurch, Leslie A. [1 ]
Carson, Jay [3 ]
Carter, Dorothy R. [1 ]
Keegan, Brian [4 ]
机构
[1] Georgia Inst Technol, Atlanta, GA 30332 USA
[2] Northwestern Univ, Evanston, IL 60208 USA
[3] So Methodist Univ, Dallas, TX 75275 USA
[4] Northeastern Univ, Boston, MA 02115 USA
基金
美国国家科学基金会;
关键词
Collective leadership; Network analysis; Shared leadership; Distributed leadership; Teams; P-ASTERISK MODELS; SOCIAL NETWORK ANALYSIS; SHARED LEADERSHIP; LOGIT-MODELS; LOGISTIC REGRESSIONS; DISTRIBUTED LEADERSHIP; TEAM EFFECTIVENESS; MANAGEMENT TEAMS; PERFORMANCE; CENTRALITY;
D O I
10.1016/j.leaqua.2012.10.010
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Over the past decade, there has been a surge of both theoretical and empirical research to explore the possibilities of shared leadership, a reorientation of leadership away from understanding the actions and interactions of "leaders" to understanding the emergent, informal, and dynamic "leadership" brought about by the members of the collective itself. Naturally, this focus on topology (or structural patterning) has prompted researchers to leverage the advancements in network analytic methodology to understand this paradigm of leadership. Despite the recognition of the unique advantage of studying collective leadership using network analysis, there has been a translational gap. The current paper aims to fill this gap, bridging the core ideas that epitomize collective leadership to the social network metrics and analytics needed to fully understand its antecedents and consequences. (C) 2012 Elsevier Inc. All rights reserved.
引用
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页码:994 / 1011
页数:18
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