Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 287

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Big data and predictive analytics for supply chain sustainability: A theory-driven research agenda

Hazen, Benjamin T., Skipper, Joseph B., Ezell, Jeremy D., Boone, Christopher A.·2016·Computers & Industrial Engineering
DOI 10.1016/j.cie.2016.06.030
Open this paper in CoChat — free account

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 · 10.1016/j.cie.2016.06.030

Cites

15 of 15 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 15 references

Cited by

See all 287

Metadata

Authors
Hazen, B. T., Skipper, J. B., Ezell, J. D., & Boone, C. A.
Venue
Computers & Industrial Engineering
Publisher
Elsevier BV
Published
2016-11
Volume
101
Pages
592-598
ISSN
0360-8352 (ISSN-L)
DOI
10.1016/j.cie.2016.06.030
OpenAlex
W2460037126
Cited by
287
References
15
FWCI
36.82
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: Big data and predictive analytics for supply chain sustainability: A theory-driven research agenda. https://app.cochat.ai/papers/10.1016/j.cie.2016.06.030
The paper
Hazen, B. T., Skipper, J. B., Ezell, J. D., & Boone, C. A. (2016). Big data and predictive analytics for supply chain sustainability: A theory-driven research agenda. Computers & Industrial Engineering. https://doi.org/10.1016/j.cie.2016.06.030

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.