AUTOMATION OF THE PROCESS OF FORMING IT-TEAMS WITH OPTIMAL INTEGRATED FEATURES
The dynamically changing labor market, the need for quick decision-making, a high level of uncertainty determine new requirements for the implementation of project team formation processes. A methodical approach to solving the task of automating the process of forming an effective team with optimal integral characteristics for the development of an IT project was described.
The purpose of the study is to find out what basic requirements a team should meet with optimal integral characteristics and what impact they have on the team’s performance and characteristics and competencies of its participants.
On the basis of the correlation-regression analysis of the survey of members from project teams and the characteristics of the sites they created, the authors determined those team parameters that more often have an impact on performance. Further, using the typologies of the roles of participants of the project team for Belbin, for Adizes and for Myers-Briggs, the authors projected the selected parameters onto the roles of team members and determined the most effective composition of the roles of team members.
Thus, the authors found out the characteristics of the members of the effective team and results that you can get if you know the characteristics of specific team members. Characteristics can be determined based on automated testing of candidates.
The authors’ methodical approach to a program for recruiting has no analogues in the software market and allows facilitating routine operations, but also proactively solving management tasks, ensuring the work of the project team at a high level of efficiency and effectiveness.
Keywords: project team, performance, team roles, automatization
Highlights:
the characteristics that often have an impact on the effectiveness of teams were determined empirically;
the interdependence of the integral characteristics of the IT project team with the roles of its members were established;
a methodical approach to automate the process of forming the effective IT project team was proposed.
Tatiana F. Paley, Candidate of Economics, Associate Professor; Pavel A. Afonin, a Master’s Degree student. - Kazan (Volga) Federal University.