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Cited by 856

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Understanding Responses to Supply Chain Disruptions: Insights from Information Processing and Resource Dependence Perspectives

Bode, Christoph, Wagner, Stephan M., Petersen, Kenneth J., Ellram, Lisa M.·2011·Academy of Management Journal

Abstract

Why, how, and under what conditions do firms respond to supply chain disruptions? These are important questions, given that firms around the world are increasingly exposed to disruptions that impede their supply chain relationships and associated operations. This study applies information processing and resource dependence perspectives to identify the repertoire of strategic responses to supply chain disruptions and to devise and test a model that explains the occurrence of the alternative responses. The findings suggest that these responses are shaped by the “stability motive” and by “interpretative postures,” which evolve from past experiences.

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Crossref · 10.5465/amj.2011.64870145

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Metadata

Authors
Bode, C., Wagner, S. M., Petersen, K. J., & Ellram, L. M.
Venue
Academy of Management Journal
Published
2011-08
Volume
54
Issue
4
Pages
833-856
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2163537246
Cited by
856
References
19
FWCI
63.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding Responses to Supply Chain Disruptions: Insights from Information Processing and Resource Dependence Perspectives. https://app.cochat.ai/papers/10.5465/amj.2011.64870145
The paper
Bode, C., Wagner, S. M., Petersen, K. J., & Ellram, L. M. (2011). Understanding Responses to Supply Chain Disruptions: Insights from Information Processing and Resource Dependence Perspectives. Academy of Management Journal. https://doi.org/10.5465/amj.2011.64870145

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.