A Meta Model for Team Recommendations in Open Innovation Networks

Open Innovation has become an important new paradigm to integrate external knowledge into innovation processes of organizations. The size of innovator networks resulting from this brings in new challenges in context with management of work units. The composition of teams overarching organizational fields or tasks may serve as a useful example for that. For this purpose IT support can be applied, hence generating recommendations for suitable teams. This dissertation identifies related difficulties and thoroughly investigates aspects of team composition by the means of interdisciplinary literature research and of interviews with experts in this domain. Based on this analysis, a meta model is being conceptualized which makes it possible to instantiate team composition methods from the fields of practice, sociology and psychology. The meta model is being evaluated on the basis of several team composition methods and of three consecutive team recommender systems which draw on this meta model.