Team Composition

Mikhail A. Wolfson, John E. Mathieu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

12 Scopus citations

Abstract

This chapter summarizes research and advancements in team composition. It discusses the benefit of incorporating network theory and methods, in particular meta-networks and multiplex ties, as a means of overcoming shortcomings of conventional team composition approaches, and models the complex nature of teams. The chapter discusses research on team composition that explores advances in how teams are combined, and the value of considering individuals’ competencies in not just task-oriented, but also team-oriented knowledge, skills, abilities and other characteristics (KSAOs). It describes network measures as related to team composition: density, degree centrality, betweenness centrality, eigenvector centrality, and closeness centrality. Given that social networks can inform team composition and functioning, there are fruitful areas of research to consider. Future studies could systematically explore the cost of turnover in teams and its impact on important organizational outcomes.

Original languageEnglish
Title of host publicationThe Wiley Blackwell Handbook of the Psychology of Team Working and Collaborative Processes
Pages129-149
Number of pages21
ISBN (Electronic)9781118909997
DOIs
StatePublished - Jan 1 2017

Bibliographical note

Publisher Copyright:
© 2017 John Wiley & Sons Ltd.

Keywords

  • meta-networks
  • network measures
  • network theory
  • organizational outcomes
  • social networks
  • team composition
  • team functioning
  • team-oriented knowledge

ASJC Scopus subject areas

  • General Psychology

Fingerprint

Dive into the research topics of 'Team Composition'. Together they form a unique fingerprint.

Cite this