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Can team success be predicted? The development of a new method of team member selection to increase the probability of team success

T. Meredith Ross, University of Nebraska - Lincoln

Abstract

The development of a new method of team member selection to increase the probability of team success Since the end of World War II, the use of teams in industrial, governmental, and educational organizations to improve their competitiveness has continued to increase. Ineffective teams often cause organizations to waste resources, fall short of performance objectives, rework designs, and extend time to market. Since subject matter knowledge is frequently the primary and only criterion used for team membership selection, this research develops a model to provide a secondary criterion for the selection of team members. ^ Individuals are most efficient, innovative, and successful when working within their own preferred personal style. If the use of a criterion for selection can bring together individuals, from the pool of technically qualified candidates, whose personal styles are complementary, there is a greater probability that the team will work together effectively and achieve their goals. A secondary criterion, after technical expertise, based on an individual's personal style would benefit managers, project leaders, and organizations. Thus, this research presents the creation of a simple model, (1) measured by an inexpensive and easy to administer tool, (2) which can assist in the selection of team members, (a) from a pool of technically qualified candidates, (b) based on the candidates' personal styles, (3) to increase the opportunity for a team to perform effectively.^

Subject Area

Engineering, Industrial|Psychology, Industrial

Recommended Citation

Ross, T. Meredith, "Can team success be predicted? The development of a new method of team member selection to increase the probability of team success" (2008). ETD collection for University of Nebraska - Lincoln. AAI3336555.
http://digitalcommons.unl.edu/dissertations/AAI3336555

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