Optimizing Team Staffing: A Review of Computational Approaches to Team Formation
Abstract
Despite the increasing reliance of both military and civilian organizations on team-based work structures, individual staffing approaches remain the norm. However, this approach fails to consider the complex interactions among individuals in a team and the importance of those interactions to optimal team member assignment. The present review summarizes recent computational methods of team-level staffing approaches, identifies promising areas for further research, and discusses potential applications. Two questions drive the present investigation: (1) What are the common decision types, algorithmic approaches, and optimization constraints in the team formation literature? (2) How can theoretical contributions from psychology advance computational approaches to team formation to make them both psychologically relevant and applicable to real world problems? A final set of 35 peer-reviewed articles were examined resulting in annotations and a literature review that considers the current state of research and areas warranting future investigations and collaborations.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2022
- Accession Number
- AD1179137
Entities
People
- Christina M. Boyce-jacino
- Nicole T. Harrington