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Organisations have shifted from work arranged around individual jobs to teambased work structures. A new generation of solutions for organisations must give support to team management by encouraging team effectiveness and introducing automation. In this dissertation, we tackle several different problems that are connected to team management in organisations. In particular, we contribute by proposing a people management workflow that addresses the problems connected to team composition as well as problems of accurate employee evaluation and task performance evaluation. First, we review the literature on team composition and formation from both the organisational psychology and computer science perspectives and we explore the connection between individuals’ attributes and team performance as well as the cross fertilization opportunities between those fields. Second, we review the most prominent tools to measure individuals’ attributes, as these measures are necessary inputs for team composition processes. In particular, we describe the dominant approaches in Organisational Psychology, Industrial Psychology and Human Resources and summarise they main findings to measure individual personality and competences. Third, we use our findings to propose a model to predict team performance given a task and based on individuals’ attributes (i.e. competences, personality and gender). We define the Synergistic Team Composition Problem (STCP) as the problem of finding a team partition constrained by size so that each team, and the whole partition of employees into teams, is balanced in terms of individuals’ competences …