• Decision-making;
  • Knowledge topography;
  • Cross-functional team;
  • Cooperative effect;
  • Capability overlap


The capabilities that are embodied in the members of the cross-functional team represent a significant project resource. The extent to which there is a good fit among these resources and the project can impact on the effectiveness of operations. While cross-functional project organizations have become common, many enterprises are not able to recognize the capabilities of individual project members or the teams as a whole. In this study, an integrated approach has been proposed. The assessment criteria of the proposed approach take into account interpersonal characteristics such as the non-additive team members' cooperative effects and capability overlap, which have rarely been investigated and evaluated in previous studies. Specifically, instead of selecting candidate team members to form a team, this approach involves selecting a proper team from competitive project teams, which is a kind of team selection problem usually confronted in project-based organizations. Several sound mathematical methods, including fuzzy measure, similarity analysis, and fuzzy programming, are used in the approach. An illustration from a real-world six sigma project team selection demonstrates the implementation of the approach. Copyright © 2009 John Wiley & Sons, Ltd.