The DOI matches its Crossref record; 61 of the 62 references it cites were found in a registry or an index.
Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Despite the widely acknowledged possibilities that an integration of the CE and I4.0 can offer [34], there are no papers that examine this at a comprehensive review level.”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
In the citing paper
“I4.0 has been widely accepted to be an enabler of the CE [34]”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
In the citing paper
“According to [34], the topic nature of both subjects would suggest the reason for the gap in research.”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
In the citing paper
“Similarly, the possibility of integrating CE principles and I4.0 can be seen in already existing product models, such as the tracking of products during use and post-consumption in order to recover components [34] or extension of the life of components.”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
In the citing paper
“This research is developed from the argument that I4.0 technologies, also referred to as 'digital technologies', are able to enable circular approaches and hence, the CE.”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
In the citing paper
“As I4.0 presents a number of specialist domains and technologies within cyber-physical systems, cloud computing/manufacturing, additive manufacturing, and the Internet of Things [34], which are rapidly evolving, the synthesis of I4.0 and CE approaches will be driven by various actors: academia, the government, industry, and end-users of which there would be users and lead-users [141] .”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [34]
Citations
Cites
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435
DiMaggio, P., & Powell, W. W. (2004) · Advances in strategic management · doi:10.1016/s0742-3322(00)17011-1 · Cited by 25,973
(2010) · Cited by 24,023
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
The resource-based theory of competitive advantage: Implications for strategy formulation
Grant, R. M. (1991) · California Management Review · doi:10.2307/41166664 · Cited by 9,699
The Circular Economy–A new sustainability paradigm?
Geissdoerfer, M., Savaget, P., Bocken, N. M. P., & Hultink, E. J. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.12.048 · Cited by 9,360
DiMaggio, P. (1983) · American Sociological Review · Cited by 9,078
Ghisellini, P., Cialani, C., & Ulgiati, S. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.09.007 · Cited by 6,536
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Lee, J., Bagheri, B., & Kao, H.-A. (2015) · Manufacturing Letters · doi:10.1016/j.mfglet.2014.12.001 · Cited by 5,113
Cited by
Sorted by citations
Industry 4.0, digitization, and opportunities for sustainability
Ghobakhloo, M. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119869 · Cited by 2,298
The future of manufacturing industry: a strategic roadmap toward Industry 4.0
Ghobakhloo, M. (2018) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-02-2018-0057 · Cited by 1,449
Raj, A., Dwivedi, G., Sharma, A., Jabbour, A. B. L. D. S., & Rajak, S. (2019) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.107546 · Cited by 1,081
Bag, S., Pretorius, J. H. C., Gupta, S., & Dwivedi, Y. K. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120420 · Cited by 1,042
Luthra, S., & Mangla, S. K. (2018) · Process Safety and Environmental Protection · doi:10.1016/j.psep.2018.04.018 · Cited by 909
Metadata
- Authors
- Lopes de Sousa Jabbour, A. B., Jabbour, C. J. C., Godinho Filho, M., & Roubaud, D.
- Affiliations
- MBS School of Business (FR)
- ORCID
- Roubaud, David
- 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
- Licence
- www.springer.com/tdm (tdm)
- 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 ›
Are you an author, or do you see a problem with this page? Request a review
