Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 557

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

An analysis of supply risk assessment techniques

Zsidisin, George A., Ellram, Lisa M., Carter, Joseph R., Cavinato, Joseph L.·2004·International Journal of Physical Distribution & Logistics Management

Abstract

Purchasing organizations are exposed to risk in their interactions with suppliers, whether it is recognized and managed, addressed in a cursory manner, or altogether ignored. In order to understand the supply risk that exists, purchasing organizations can proactively assess the probability and impact of supply risk in advance, or reactively discover risk after a detrimental event occurs. The purpose of this study is to explore, analyze, and derive common themes on supply risk assessment techniques. Findings from this research indicate that purchasing organizations can assess supply risk with techniques that focus on addressing supplier quality issues, improving supplier processes, and reducing the likelihood of supply disruptions. From an agency theory perspective, these risk assessment techniques facilitate the obtaining of information by purchasing organizations to verify supplier behaviors, promoting goal congruence between buying and selling firms, and reducing outcome uncertainty associated with inbound supply.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1108/09600030410545445

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 557

Metadata

Authors
Zsidisin, G. A., Ellram, L. M., Carter, J. R., & Cavinato, J. L.
Venue
International Journal of Physical Distribution & Logistics Management
Publisher
Emerald
Published
2004-06-01
Volume
34
Issue
5
Pages
397-413
ISSN
0960-0035 (ISSN-L)
OpenAlex
W2169600057
Cited by
557
References
1
FWCI
36.22
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: An analysis of supply risk assessment techniques. https://app.cochat.ai/papers/10.1108/09600030410545445
The paper
Zsidisin, G. A., Ellram, L. M., Carter, J. R., & Cavinato, J. L. (2004). An analysis of supply risk assessment techniques. International Journal of Physical Distribution & Logistics Management. https://doi.org/10.1108/09600030410545445

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.