  Self-organization -- a characteristic of complex adaptive systems (CAS) --
has been explored in organizational research, in management theory [Mihm et al.
2003; von Foerster 1984], firm internationalization [Chandra and Wilkinson
2017], organizational design [Clement and Puranam 2017], and strategic change
[Foster 2015]. Newer organizational forms such as networks and zero-hierarchy
companies that hold the promise of self-organization are gaining prominence
[Puranam et al. 2014], and theoretical organizational modeling is a useful
technique to study them proactively via simulation [Puranam et al.2015; Simon
1976]. In this paper, we introduce a nature-inspired model to understand
self-organization of collaborative groups in three archetypal organizational
designs: i. fully-networked, ii. siloed, and iii.dynamic, where each design
controls intra-managerial communication in specific ways, and each member has
reactive or perceptive behavioral tendencies.
