English

Simulating Self-Organization during Strategic Change: Implications for Organizational Design

Multiagent Systems 2020-07-20 v1

Abstract

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.

Keywords

Cite

@article{arxiv.2007.08521,
  title  = {Simulating Self-Organization during Strategic Change: Implications for Organizational Design},
  author = {Ananya Sheth and Joseph V. Sinfield},
  journal= {arXiv preprint arXiv:2007.08521},
  year   = {2020}
}

Comments

Presented at ACM SIGCHI Collective Intelligence 2019, Carnegie Mellon University

R2 v1 2026-06-23T17:10:34.724Z