The DOI matches its Crossref record.
Supply chain risk management
Abstract
This article presents a secondary analysis of the literature, supplemented by case studies to determine if large companies increase their exposure to risk by having small‐ and medium‐size enterprises (SMEs) as partners in business critical positions in the supply chain, and to make recommendations concerning best practice. A framework defining the information systems (IS) environment is used to structure the review. The review found that large companies’ exposure to risk appeared to be increased by inter‐organisational networking. Having SMEs as partners in the supply chain further increased the risk exposure. SMEs increased their own exposure to risk by becoming partners in a supply chain. These findings indicate the importance of undertaking risk assessments and considering the need for business continuity planning when a company is exposed to inter‐organisational networking.
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Citations
Cited by
Supply chain risk management: a new methodology for a systematic literature review
Colicchia, C., & Strozzi, F. (2012) · Supply Chain Management: An International Journal · doi:10.1108/13598541211246558 · Cited by 750
Fostering sustainability through sourcing from small businesses: public sector perspectives
Walker, H., & Preuss, L. (2008) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2008.04.014 · Cited by 270
Metadata
- Authors
- Finch, P.
- Venue
- Supply Chain Management: An International Journal
- Publisher
- Emerald
- Published
- 2004-04-01
- Volume
- 9
- Issue
- 2
- Pages
- 183-196
- ISSN
- 1359-8546 (ISSN-L)
- OpenAlex
- W2027662776
- Cited by
- 275
- References
- 0
- FWCI
- 14.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- Finch, P. (2004). Supply chain risk management. Supply Chain Management: An International Journal. https://doi.org/10.1108/13598540410527079
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.