The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Circular economy practices and industry 4.0 technologies: A strategic move of automobile industry
Abstract
The fourth industrial revolution (IR4.0) toward automation and digitalization is the new trend among automobile production systems. Indubitably, the automobile industry has been scurrying in this revolution due to investment and governmental support availability. The current study examines the role of industry 4.0 on circular economy practices and supply chain capability to improve firm performance. Cross‐sectional data were collected from 286 respondents through a closed‐ended questionnaire. The adoption of circular economy practices improves the economic and operational performance of the firm. Also, industry 4.0 has the potential to make significant improvements in business operations. The empirical results confirm that industry 4.0 plays a positive role in implementation of circular economy practices and supply chain capability. Furthermore, circular economy practices provide evidence to have positive nexus with operational and economic performance. On the other hand, supply chain capability has a positive relationship with operational performance and has an insignificant association with economic performance, whereas operational performance improves economic health. Thus, the current research work provides the guidelines for the participating enterprises that can achieve sustainable goals by assimilating industry 4.0 in manufacturing systems.
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.
Integrity signals
Registry
Cites
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.
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
1 retracted
Khan, S. A. R., Razzaq, A., Yu, Z., & Miller, S. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2853 · Cited by 404
Self-citationRetractedFirm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
A primer on partial least squares structural equation modeling (PLS-SEM)
Leguina, A. (2015) · International Journal of Research & Method in Education · doi:10.1080/1743727x.2015.1005806 · Cited by 18,921
(1997) · Chemometrics in Environmental Analysis · doi:10.1002/352760216x.ch5 · Cited by 18,653
Testing Structural Equation Models.
Mueller, C. W., Bollen, K. A., & Long, J. S. (1994) · Contemporary Sociology · doi:10.2307/2074955 · Cited by 14,120
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
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003) · Department of Psychology - University of Koblenz-Landau · doi:10.23668/psycharchives.12784 · Cited by 8,975
Product design and business model strategies for a circular economy
Bocken, N. M. P., de Pauw, I., Bakker, C., & van der Grinten, B. (2016) · Journal of Industrial and Production Engineering · doi:10.1080/21681015.2016.1172124 · Cited by 4,002
The impact of supply chain integration on performance: A contingency and configuration approach
Flynn, B. B., Huo, B., & Zhao, X. (2010) · Journal of Operations Management · doi:10.1016/j.jom.2009.06.001 · Cited by 3,310
Cited by
Advancing the circular economy in construction through circular business models
Shahidi Hamedani, S., Hamedani, S. S., & Aslam, S. (2025) · Frontiers in Built Environment · doi:10.3389/fbuil.2025.1629769 · Cited by 4
Metadata
- Authors
- Yu, Z., Khan, S. A. R., & Umar, M.
- Venue
- Business Strategy and the Environment
- Publisher
- Wiley
- Published
- 2021-10-28
- Volume
- 31
- Issue
- 3
- Pages
- 796-809
- ISSN
- 0964-4733 (ISSN-L)
- 1099-0836
- OpenAlex
- W3211237669
- Cited by
- 280
- References
- 92
- FWCI
- 39.73
- 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: Circular economy practices and industry 4.0 technologies: A strategic move of automobile industry. https://app.cochat.ai/papers/10.1002/bse.2918
- The paper
- Yu, Z., Khan, S. A. R., & Umar, M. (2022). Circular economy practices and industry 4.0 technologies: A strategic move of automobile industry. Business Strategy and the Environment. https://doi.org/10.1002/bse.2918
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.
