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Introduction to the Special Issue: Applications of Complexity Theory to Organization Science
Abstract
The seven articles that appear in this special issue concerning applications of complexity theory to organizations push our field forward significantly, not simply by importing ideas from an emerging interdisciplinary area, but by using them to inform rich, theoretically-grounded depictions of how organizations operate. Each emphasizes how the interaction of elements in a system produces surprising, emergent behavior that can be understood through formal models, even if those models cannot necessarily predict how a given system will evolve. Together, they constitute a foundation for a new way of thinking about how to model nonlinear behavior in organizations.
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Citations
Cited by
Balancing Search and Stability: Interdependencies Among Elements of Organizational Design
Rivkin, J. W., & Siggelkow, N. (2003) · Management Science · doi:10.1287/mnsc.49.3.290.12740 · Cited by 900
Speed and Search: Designing Organizations for Turbulence and Complexity
Siggelkow, N., & Rivkin, J. W. (2005) · Organization Science · doi:10.1287/orsc.1050.0116 · Cited by 734
Metadata
- Authors
- Anderson, P., Meyer, A., Eisenhardt, K., Carley, K., & Pettigrew, A.
- Venue
- Organization Science
- Published
- 1999-06
- Volume
- 10
- Issue
- 3
- Pages
- 233-236
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W1977079046
- Cited by
- 166
- References
- 0
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Introduction to the Special Issue: Applications of Complexity Theory to Organization Science. https://app.cochat.ai/papers/10.1287/orsc.10.3.233
- The paper
- Anderson, P., Meyer, A., Eisenhardt, K., Carley, K., & Pettigrew, A. (1999). Introduction to the Special Issue: Applications of Complexity Theory to Organization Science. Organization Science. https://doi.org/10.1287/orsc.10.3.233
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
