Algorithms have been developed to cluster DSM data and reduce coordination costs (e.g., Yu et al., 2007). However, they rely on assumptions and we lack empirical data about the actual coordination costs related to optimal versus sub-optimal grouping.

How can we estimate coordination costs? What factors may increase or decrease coordination costs?