A Study on Effective Team Composition Strategies based on MBTI Personality Types
In this paper, we propose an efficient role distribution system that can maximize work performance by analyzing the personalities of employees in an organization in detail and forming complementary relationships between them. To this end, we develop a system for analyzing individual personalities to realize efficient team composition and role distribution. We utilize the advantages of existing personality analysis tools to analyze personality with simple input, and implement the system using score conversion to compensate for the shortcomings of objective judgment results. The personality of each individual is categorized into leader, designer, developer, and analyst, which are essential for team projects. We recommend suitable tasks based on the nature of the current work. We have implemented a system to enhance team performance by assigning roles fairly based on individual personalities. By carefully analyzing each member's personality, the system is designed to maximize their unique strengths. It also promotes interaction among team members and creates an environment where they can maximize the synergy of cooperation by understanding each other's personalities. This ensures the optimal division of roles to achieve the team's goals and gives each individual the opportunity to showcase their talents. The system can be used to continuously monitor and provide feedback on the team's performance, allowing for flexibility in team composition so that roles can be adjusted as needed. This approach enhances the team's overall effectiveness and lays the groundwork for the organization to expand into new areas, thereby strengthening its competitiveness.
Authors
- HyunJoo Park
Institutions
- Sangmyung University (KR)
Publication Details
- Journal
- International Journal on Advanced Science Engineering and Information Technology
- Published
- 2025-08-27
- DOI
- https://doi.org/10.18517/ijaseit.15.4.13499
- Citations
- 1
- Primary Topic
- Healthcare Education and Workforce Issues
- Type
- article
- Field-Weighted Citation Impact
- 3.86