Research Area:  Artificial Intelligence
Organizations have shifted from work arranged around individual jobs to team-based work structures. A new generation of solutions for organizations 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 organizations. 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.
we devise an algorithm called Collaborative Judgment (CJ) to fairly evaluate individuals and teams outcomes once tasks are performed. In particular, we want to diminish the importance of biases in the evaluation process by allowing evaluators to assess their peers, namely other evaluators. Our empirical results show the benefits of more informed assessment aggregation method.
We present empirical results that we obtained when analyzing student performance.Our results show the benefits of a more informed team composition that exploits individuals competences, personalities and gender.
Name of the Researcher:  Ewa Dominika Andrejczuk
Name of the Supervisor(s):  Juan A.Rodriguez-Aguilar
Year of Completion:  2018
University:  Autonoma University
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