Year: 2005
Type: article
Abstract: In this paper we present a novel automated recommendation approach to support the selection of individuals to teams.Recent organizational trends show an increasing importance of team-based work structures and more and more companies use this team-focused structure with the hope to increase organizational effectiveness.Whereas traditional selection systems are focused on finding a match between job requirements and individuals' abilities, these systems need to be changed in order to reflect the enhanced requirements when selecting individuals to work in teams.This is important as teamwork requires interaction among its members and not just co-action.Our approach is therefore based on two dimensions.First, people need to be matched to jobs for which they possess the right knowledge, skills and abilities to fulfill all tasks.Second, people need to fit with the other people they are supposed to work with in terms of interpersonal compatibility.Based on an adapted probabilistic latent aspect model and a trust computational model we present a first prototype aiming to support the systematic selection of individuals to form effective teams.
Authors: Jochen Malinowski, Tobias Keim, Tim Weitzel, Oliver Wendt
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1593749667