Skip to main navigation Skip to search Skip to main content

Emergence as a process of self-organizing: New assumptions and insights from the study of non-linear dynamic systems

  • University of Hartford

Research output: Contribution to journal › Article › peer-review

Abstract

Complexity researchers have identified four basic assumptions underlying non-linear dynamic systems (NDS): the assumption that change is a constant; the assumption that emergent systems are not reducible to their parts; the assumption of mutual dependence; and the assumption that complex systems behave in non-proportional ways. In this paper I use these new assumptions as a basis for explaining why order emerges in organizations, and for uncovering a three-stage process model of complex adaptive systems change (CASC). The insights from these NDS models are revealed through examples from two entrepreneurial firms undergoing transformative shifts in their development. These assumptions of NDS and the model of CASC may therefore be useful for understanding order creation and self-organizing processes in work groups, project ventures, and organizations.

Original languageEnglish
Pages (from-to)526-544
Number of pages19
JournalJournal of Organizational Change Management
Volume13
Issue number6
DOIs
StatePublished - 2000

ASJC Scopus Subject Areas

  • General Decision Sciences
  • Strategy and Management
  • Organizational Behavior and Human Resource Management
  • Management of Technology and Innovation

Keywords

  • Emergent strategy
  • Entrepreueurialism
  • Organizational change

Fingerprint

Dive into the research topics of 'Emergence as a process of self-organizing: New assumptions and insights from the study of non-linear dynamic systems'. Together they form a unique fingerprint.

Cite this