Exploring Depth Versus Breadth in Knowledge Management Strategies
Computational & Mathematical Organization Theory
The influence of communication mode and incentive structure on GDSS process and outcomes
Decision Support Systems
Knowledge networks in new product development projects: a transactive memory perspective
Information and Management
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Expertise Integration and Creativity in Information Systems Development
Journal of Management Information Systems
Predicting build failures using social network analysis on developer communication
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
The impact of knowledge diversity on software project team's performance
Proceedings of the 11th International Conference on Electronic Commerce
Knowledge networks in new product development projects: A transactive memory perspective
Information and Management
Information and Software Technology
Computers in Human Behavior
The Learning Curve of IT Knowledge Workers in a Computing Call Center
Information Systems Research
International Journal of Human-Computer Studies
An efficient approach to solving the agent training problem for a sustainable group
Proceedings of the 2013 Summer Computer Simulation Conference
Communication and organizational social networks: a simulation model
Computational & Mathematical Organization Theory
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This study investigates the effect of knowledge distribution and group structure on performance in MBA game teams. We found that group performance was contingent on the distribution of knowledge within the group and networks of social relationships among group members. Studying 39 teams of MBA students in two management simulation games, we found that, in general, groups that had broadly distributed knowledge, i.e., groups made up of members who had general knowledge, outperformed groups that had knowledge concentrated in different members, i.e., groups made up of members who had specialized or both specialized and general knowledge. However, the advantage that the former enjoyed over the latter disappeared when groups of specialists or mixed groups had decentralized network structures.