A study of the impact of individual goals and team composition variables on team performance
SIGCPR '96 Proceedings of the 1996 ACM SIGCPR/SIGMIS conference on Computer personnel research
Knowledge based approach to semantic composition of teams in an organization
Proceedings of the 2005 ACM symposium on Applied computing
The effect of computer-mediated communication on agreement and acceptance
Journal of Management Information Systems - Special section: Data mining
An investigation of task team structure and its impact on productivity
AFIPS '84 Proceedings of the July 9-12, 1984, national computer conference and exposition
Group creativity and collaborative technologies: understanding the role of visual anonymity
CRIWG'06 Proceedings of the 12th international conference on Groupware: design, implementation, and use
International Journal of Information Management: The Journal for Information Professionals
Case-based team recommendation
SocInfo'10 Proceedings of the Second international conference on Social informatics
A meta model for team recommendations
SocInfo'10 Proceedings of the Second international conference on Social informatics
Location-based team recommendation in computer gaming scenarios
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data
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Open Innovation has become an important new paradigm for incorporating external knowledge and sources in the innovation process of organizations. Besides other discussed arguments the resulting large size of innovator networks suggests that algorithmic approaches for team recommendation may be needed in that scenario. The current work identifies the related difficulties and thoroughly investigates aspects entities for the problem of team recommendation. Based on that, we develop a meta model which allows to instantiate and integrate most of the vast number of the existing socio-/psychological models on optimal team composition. This meta model is necessary for operationalizing our intended team recommendation approach.