Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,025

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Supply chain risk management: Understanding the business requirements from a practitioner perspective

Jüttner, Uta·2005·The International Journal of Logistics Management

Abstract

Purpose: This paper seeks to understand business requirements for supply chain risk management (SCRM) from a practitioner perspective. Design/methodology/approach: Based on the findings from an exploratory quantitative survey and qualitative focus group discussions with supply chain managers, some issues of SCRM are derived and structured along the three conceptual levels of “philosophy”, “principles” and “processes”. Findings: The survey showed that 44 per cent of all eight responding companies expect the vulnerability of their supply chains to increase in the next five years. However, the concept of SCRM is still in its infancy. Originality/value: The paper contributes to our knowledge on SCRM by presenting the business requirements from a practitioner perspective and by deriving a structure for an integrated approach to SCRM which can guide further research.

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 · 10.1108/09574090510617385

Cites

2 of 2 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 2 references

Cited by

See all 1,025

Metadata

Authors
Jüttner, U.
Venue
The International Journal of Logistics Management
Publisher
Emerald
Published
2005-06-01
Volume
16
Issue
1
Pages
120-141
ISSN
0957-4093 (ISSN-L)
OpenAlex
W2142616543
Cited by
1,025
References
2
FWCI
59.83
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: Supply chain risk management: Understanding the business requirements from a practitioner perspective. https://app.cochat.ai/papers/10.1108/09574090510617385
The paper
Jüttner, U. (2005). Supply chain risk management: Understanding the business requirements from a practitioner perspective. The International Journal of Logistics Management. https://doi.org/10.1108/09574090510617385

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.