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Cited by 224

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Reducing Complexity by Creating Complexity: A Systems Theory Perspective on How Organizations Respond to Their Environments

Open access
Schneider, Anselm, Wickert, Christopher, Marti, Emilio·2017·Journal of Management Studies

Abstract

Organizations have to cope with the complexity of their environment in order to survive. A considerable body of research has shown that organizations may respond to environmental complexity by creating internal complexity– for example, by expanding internal structures and processes. However, researchers know less about how organizations create collaborative complexity collectively – for example, by establishing alliances or developing common standards. This paper uses social systems theory to explore how organizations collaborate in response to complexity and to analyse the conditions under which they create either internal or collaborative complexity (or both) to address environmental complexity. It also examines how these types of complexity feed back into environmental complexity. To illustrate our conceptual model, we use corporate social responsibility (CSR).

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Crossref · 10.1111/joms.12206

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Metadata

Authors
Schneider, A., Wickert, C., & Marti, E.
Venue
Journal of Management Studies
Publisher
Wiley
Published
2016-04-26
Volume
54
Issue
2
Pages
182-208
ISSN
  • 0022-2380 (ISSN-L)
  • 1467-6486
OpenAlex
W2395084284
Cited by
224
References
11
FWCI
26.97
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Reducing Complexity by Creating Complexity: A Systems Theory Perspective on How Organizations Respond to Their Environments. https://app.cochat.ai/papers/10.1111/joms.12206
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Schneider, A., Wickert, C., & Marti, E. (2017). Reducing Complexity by Creating Complexity: A Systems Theory Perspective on How Organizations Respond to Their Environments. Journal of Management Studies. https://doi.org/10.1111/joms.12206

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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.