The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
The science of complexity: An alternative perspective for strategic change processes
Abstract
The two perspectives of strategy process most firmly established in the literature—strategic choice and ecology—assume the same about system dynamics: negative feedback processes driving successful systems (individual organizations or populations of organizations) toward predictable equilibrium states of adaptation to the environment. This paper proposes a third perspective, that of complex adaptive systems. The framework is provided by the modern science of complexity: the study of nonlinear and network feedback systems, incorporating theories of chaos, artificial life, self‐organization and emergent order. Here system dynamics are characterized by positive and negative feedback as systems coevolve far from equilibrium, in a self‐organizing manner, toward unpredictable long‐term outcomes.
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Cites
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Strategies for Theorizing from Process Data
Langley, A. (1999) · The Academy of Management Review · doi:10.5465/amr.1999.2553248 · Cited by 7,008
ORGANIZATIONAL CHANGE AND DEVELOPMENT
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Organizational Response to Adversity: Fusing Crisis Management and Resilience Research Streams
Williams, T. A., Gruber, D. A., Sutcliffe, K. M., Shepherd, D. A., & Zhao, E. Y. (2017) · Academy of Management Annals · doi:10.5465/annals.2015.0134 · Cited by 1,945
Paradox research in management science: Looking back to move forward
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Contradictions, Dialectics, and Paradoxes in Organizations: A Constitutive Approach
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Metadata
- Authors
- Stacey, R. D.
- Venue
- Strategic Management Journal
- Publisher
- Wiley
- Published
- 1995-01
- Volume
- 16
- Issue
- 6
- Pages
- 477-495
- ISSN
- 0143-2095 (ISSN-L)
- 1097-0266
- OpenAlex
- W2127927554
- Cited by
- 1,039
- References
- 64
- FWCI
- 15.81
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
