The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Industry 4.0 vs. Industry 5.0: Co-existence, Transition, or a Hybrid
Open accessAbstract
Smart manufacturing is being shaped nowadays by two different paradigms: Industry 4.0 proclaims transition to digitalization and automation of processes while emerging Industry 5.0 emphasizes human centricity. This turn can be explained by unprecedented challenges being faced recently by societies, such as, global climate change, pandemics, hybrid and conventional warfare, refugee crises. Sustainable and resilient processes require humans to get back into the loop of organizational decision-making. In this paper, we argue that the most reasonable way to marry the two extremes of automation and value-based human-driven processes is to create an Industry 4.0 + Industry 5.0 hybrid, which inherits the most valuable features of both - efficiency of the Industry 4.0 processes and sustainability of the Industry 5.0 decisions. Digital cognitive clones twinning human decision-making behavior are represented as an enabling technology for the future hybrid and as an accelerator (as well as resilience enabler) of the convergence of the digital and human worlds.
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
Wing, J. M. (2006) · Communications of the ACM · doi:10.1145/1118178.1118215 · Cited by 8,102
Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014) · Business & Information Systems Engineering · doi:10.1007/s12599-014-0334-4 · Cited by 4,276
Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making
Jarrahi, M. H. (2018) · Business Horizons · doi:10.1016/j.bushor.2018.03.007 · Cited by 2,772
Industry 4.0 and Industry 5.0—Inception, conception and perception
Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.10.006 · Cited by 2,557
Conditions for intuitive expertise: A failure to disagree.
Kahneman, D., & Klein, G. (2009) · American Psychologist · doi:10.1037/a0016755 · Cited by 2,443
Literature review of Industry 4.0 and related technologies
Oztemel, E., & Gursev, S. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-018-1433-8 · Cited by 2,143
Industry 5.0: A survey on enabling technologies and potential applications
Maddikunta, P. K. R., Pham, Q.-V., B, P., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., & Liyanage, M. (2022) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2021.100257 · Cited by 1,890
Industry 5.0—A Human-Centric Solution
Nahavandi, S. (2019) · Sustainability · doi:10.3390/su11164371 · Cited by 1,695
Longo, F., Padovano, A., & Umbrello, S. (2020) · Applied Sciences · doi:10.3390/app10124182 · Cited by 687
The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES)
Almada-Lobo, F. (2016) · Journal of Innovation Management · doi:10.24840/2183-0606_003.004_0003 · Cited by 618
Cited by
Hosseini Dehshiri, S. J., & Amiri, M. (2025) · Energy Strategy Reviews · doi:10.1016/j.esr.2025.101761 · Cited by 10
Metadata
- Authors
- Golovianko, M., Terziyan, V., Branytskyi, V., & Malyk, D.
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2023
- Volume
- 217
- Pages
- 102-113
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W4315778741
- Cited by
- 341
- References
- 45
- FWCI
- 154.27
- Type
- conference paper
- Language
- en
- Open access
- diamond
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: Industry 4.0 vs. Industry 5.0: Co-existence, Transition, or a Hybrid. https://app.cochat.ai/papers/10.1016/j.procs.2022.12.206
- The paper
- Golovianko, M., Terziyan, V., Branytskyi, V., & Malyk, D. (2023). Industry 4.0 vs. Industry 5.0: Co-existence, Transition, or a Hybrid. Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.12.206
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.