The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Sustainable manufacturing and industry 4.0: what we know and what we don't
Abstract
Purpose: The emergence the fourth industrial revolution, known as well as industry 4.0, and its applications in the manufacturing sector ushered a new era for the business entities. It not only promises enhancement in operational efficiency but also magnify sustainable operations practices. This current paper provides a thorough bibliometric and network analysis of more than 600 articles highlighting the benefits in favor of the sustainability dimension in the industry 4.0 paradigm. Design/methodology/approach: The analysis begins by identifying over 1,000 published articles in Scopus, which were then refined to works of proven influence and those authored by influential researchers. Using rigorous bibliometric software, established and emergent research clusters were identified for intellectual network analysis, identification of key research topics, interrelations and collaboration patterns. Findings: This bibliometric analysis of the field helps graphically to illustrate the publications evolution over time and identify areas of current research interests and potential directions for future research. The findings provide a robust roadmap for mapping the research territory in the field of industry 4.0 and sustainability. Originality/value: As the literature on sustainability and industry 4.0 expands, reviews capable of systematizing the main trends and topics of this research field are relevant.
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Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
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bibliometrix: An R-tool for comprehensive science mapping analysis
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Industry 4.0: A survey on technologies, applications and open research issues
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Digital twin-driven product design, manufacturing and service with big data
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A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises
Schumacher, A., Erol, S., & Sihn, W. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.07.040 · Cited by 1,766
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Cited by
Khan, I. S., Ahmad, M. O., & Majava, J. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126655 · Cited by 489
Jamwal, A., Agrawal, R., Sharma, M., & Giallanza, A. (2021) · Applied Sciences · doi:10.3390/app11125725 · Cited by 458
Aftab, J., Abid, N., Cucari, N., & Savastano, M. (2023) · Business Strategy and the Environment · doi:10.1002/bse.3219 · Cited by 452
Tseng, M.-L., Tran, T. P. T., Ha, H. M., Bui, T.-D., & Lim, M. K. (2021) · Journal of Industrial and Production Engineering · doi:10.1080/21681015.2021.1950227 · Cited by 341
Khan, S. A. R., Godil, D. I., Jabbour, C. J. C., Shujaat, S., Razzaq, A., & Yu, Z. (2025) · Annals of Operations Research · doi:10.1007/s10479-021-04275-x · Cited by 283
Self-citation
Metadata
- Authors
- Sharma, R., Jabbour, C. J. C., & Lopes de Sousa Jabbour, A. B.
- Venue
- Journal of Enterprise Information Management
- Publisher
- Emerald
- Published
- 2020-07-04
- Volume
- 34
- Issue
- 1
- Pages
- 230-266
- ISSN
- 1741-0398 (ISSN-L)
- OpenAlex
- W3039465098
- Cited by
- 237
- References
- 28
- FWCI
- 20.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sharma, R., Jabbour, C. J. C., & Lopes de Sousa Jabbour, A. B. (2021). Sustainable manufacturing and industry 4.0: what we know and what we don't. Journal of Enterprise Information Management. https://doi.org/10.1108/jeim-01-2020-0024
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.