Cited by 1,116Sustainable Supply Chain ManagementDigital Transformation in IndustryImpact of AI and Big Data on Business and Society

Industry 4.0 and the circular economy: A proposed research agenda and original roadmap for sustainable operations

Lopes de Sousa Jabbour, Ana Beatriz, Jabbour, Charbel Jose Chiappetta, Godinho Filho, Moacir, Roubaud, David·2018·Annals of Operations Research

Integrity signals

Registry

Crossref · 10.1007/s10479-018-2772-8

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

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Cites

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1 of the 62 references couldn’t be matched to a known paper.

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Authors
Lopes de Sousa Jabbour, A. B., Jabbour, C. J. C., Godinho Filho, M., & Roubaud, D.
Affiliations
MBS School of Business (FR)
Venue
Annals of Operations Research
Published
2018-02-01
Volume
270
Issue
1-2
Pages
273-286
ISSN
  • 0254-5330 (ISSN-L)
  • 1572-9338
OpenAlex
W2791930516
Cited by
1,116
References
62
Citations by year
2026: 85 · 2025: 126 · 2024: 147 · 2023: 187 · 2022: 196 · 2021: 176 · 2020: 112 · 2019: 67 · 2018: 20
FWCI
156.65
Type
journal article
Language
en
Open access
closed
Locations
  • Annals of Operations Research (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Lincoln Repository (University of Lincoln) (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
Industry 4.0, circular economy, sustainable operations management, circular business models, digital technologies in manufacturing, research agenda, research roadmap

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 ›

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