C. Burke, Christopher W. Wiese, Lauren N. P. Campbell
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Leveraging historiometry to better understand teams in context
The prevalence of teams in organizational settings has dramatically increased over the last 50 years, and as such, researchers have made much progress in understanding the conditions and intra-team dynamics that facilitate successful team performance. However, much remains to be learned due to the complexity of teams. This complexity often makes it difficult to study teams operating in context, especially when trying to examine longitudinal aspects of teams. Adding to this difficulty, studying teams in context is resource intensive and access is often a key barrier, especially if the focus is on teams that are elite or that operate in extreme environments. This drives a need to look outside the traditional methodological tools typically utilized to study teams. Thereby, the purpose of this manuscript is to highlight a method that while not typically utilized in the team literature can offer benefits when exploring team dynamics in context—historiometry.
期刊介绍:
Organizational Psychology Review is a quarterly, peer-reviewed scholarly journal published by SAGE in partnership with the European Association of Work and Organizational Psychology. Organizational Psychology Review’s unique aim is to publish original conceptual work and meta-analyses in the field of organizational psychology (broadly defined to include applied psychology, industrial psychology, occupational psychology, organizational behavior, personnel psychology, and work psychology).Articles accepted for publication in Organizational Psychology Review will have the potential to have a major impact on research and practice in organizational psychology. They will offer analyses worth citing, worth following up on in primary research, and worth considering as a basis for applied managerial practice. As such, these should be contributions that move beyond straight forward reviews of the existing literature by developing new theory and insights. At the same time, however, they should be well-grounded in the state of the art and the empirical knowledge base, providing a good mix of a firm empirical and theoretical basis and exciting new ideas.