Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 334

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda

Open access
Chiappetta Jabbour, Charbel Jose, Fiorini, Paula De Camargo, Ndubisi, Nelson Oly, Queiroz, Maciel M., Piato, Éderson Luiz·2020·Science of The Total Environment
DOI 10.1016/j.scitotenv.2020.138177
Open this paper in CoChat — free account

Abstract

While the potential benefits of integrating digital technologies and supply chain management have been widely reported, less is known concerning the current state-of-the-art literature on big data-driven sustainable supply chains. Therefore, this study aims to systematise published studies which address the implications of big data for sustainable supply chain management. Through a systematic literature review, this work makes three significant contributions: (a) it provides an overview of extant literature on this topic in recent years; (b) it proposes seven gaps in the literature in order to foster future investigations on big data-driven sustainable supply chains; (c) it offers four lessons for business practitioners aiming to use big data for sustainable supply chain practices. These lessons suggest that: developing big data analytics capability has to become a business priority in order to effectively build competitive sustainable supply chains; big data has benefits for each of the dimensions of the triple-bottom-line in supply chains; the implementation of big data for sustainability in supply chains presents some challenges for firms; the development of complementary organizational capabilities is needed to overcome challenges and facilitate the benefits of big data technology for sustainable supply chain management.

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.scitotenv.2020.138177

Cites

53 of 53 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 53 references

Research works printed but not linked: 3

  1. Ahmed, 2018, Study on environmental impact through analysis of big data for sustainable and green supply chain management, Int. J. Mech. Prod. Eng. Res. Dev., 8, 1245
  2. Roy, 2019, Nexus of Internet of Things (IoT) and big data: roadmap for smart management systems (SMgS), IEEE Eng. Manag. Rev., 47, 53, 10.1109/EMR.2019.2915961 · doi:10.1109/emr.2019.2915961
  3. Song, 2019, Dynamic improvement and optimization of environmental management using streaming data, Sci. Total Environ.

Cited by

See all 334

Metadata

Authors
Chiappetta Jabbour, C. J., Fiorini, P. D. C., Ndubisi, N. O., Queiroz, M. M., & Piato, É. L.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2020-07
Volume
725
Pages
138177
ISSN
0048-9697 (ISSN-L)
DOI
10.1016/j.scitotenv.2020.138177
OpenAlex
W3014494364
Cited by
334
References
53
FWCI
49.86
Type
journal article
Language
en
Open access
bronze
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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: Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda. https://app.cochat.ai/papers/10.1016/j.scitotenv.2020.138177
The paper
Chiappetta Jabbour, C. J., Fiorini, P. D. C., Ndubisi, N. O., Queiroz, M. M., & Piato, É. L. (2020). Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.138177

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.