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Cited by 486

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A conceptual framework for the analysis of vulnerability in supply chains

Svensson, Göran·2000·International Journal of Physical Distribution & Logistics Management

Abstract

A conceptual framework for the analysis of vulnerability in supply chains is developed. The conceptual framework is limited to the inbound logistic flow of manufacturers. The study has been performed as a two‐step process. Step one explores the concept of vulnerability from the point of view of an inductive approach. The conceptual framework is generated and based on the empirical findings from a case study of a Swedish car manufacturer in the automotive industry. Step two is deductive in terms of testing in other industries the generated conceptual framework that originates from step one. The conceptual framework consists of two dimensions, namely categories of disturbance and sources of disturbance. Principally, categories of disturbance are divided into quantitative and qualitative disturbances. Sources of disturbance are divided into atomistic (direct) and holistic (indirect) disturbances. In addition, the specific criteria of an inbound logistic flow indicate how vulnerability in supply chains is proposed to be analysed according to the developed conceptual framework of vulnerability.

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Metadata

Authors
Svensson, G.
Venue
International Journal of Physical Distribution & Logistics Management
Publisher
Emerald
Published
2000-11-01
Volume
30
Issue
9
Pages
731-750
ISSN
0960-0035 (ISSN-L)
OpenAlex
W2008109438
Cited by
486
References
1
FWCI
17.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A conceptual framework for the analysis of vulnerability in supply chains. https://app.cochat.ai/papers/10.1108/09600030010351444
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Svensson, G. (2000). A conceptual framework for the analysis of vulnerability in supply chains. International Journal of Physical Distribution & Logistics Management. https://doi.org/10.1108/09600030010351444

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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.