The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Industry 4.0: Adoption challenges and benefits for SMEs
Open accessAbstract
Abstract Future industrial systems have been popularised in recent years through buzzwords such as Industry 4.0, the Internet of Things (IoT), and Cyber Physical Systems (CPS). Whilst the technologies of Industry 4.0 and likes have many conceivable benefits to manufacturing, the majority of these technologies are developed for, or by, large firms. Much of the contemporary work is therefore disconnected from the needs of small and medium-sized enterprises (SMEs), despite the fact they represent 90 % of registered companies in Europe. This study approaches the disconnect through an industrial survey of UK SMEs (n = 271, KMO = 0.701), which is the first in the UK that used to collect opinions, reinforcing the current literature on the most reported Industry 4.0 technologies (n = 20), benefits, and challenges to implementation. Flexibility, cost, efficiency, quality and competitive advantage are found to be the key benefits to Industry 4.0 adoption in SMEs. Whilst many SMEs show a desire to implement Industry 4.0 technologies for these reasons, financial and knowledge constraints are found to be key challenges.
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
Kusiak, A. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1351644 · Cited by 1,330
The industrial management of SMEs in the era of Industry 4.0
Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1372647 · Cited by 1,188
A review of technology acceptance and adoption models and theories
Taherdoost, H. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.03.137 · Cited by 1,162
Wallsten, S. J. (2000) · The RAND Journal of Economics · doi:10.2307/2601030 · Cited by 1,068
Cited by
Akpan, I. J., Udoh, E. A. P., & Adebisi, B. (2022) · Journal of Small Business & Entrepreneurship · doi:10.1080/08276331.2020.1820185 · Cited by 435
Digital transformation success under Industry 4.0: a strategic guideline for manufacturing SMEs
Ghobakhloo, M., & Iranmanesh, M. (2021) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-11-2020-0455 · Cited by 379
Soni, G., Kumar, S., Mahto, R. V., Mangla, S. K., Mittal, M. L., & Lim, W. M. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121686 · Cited by 282
Shahadat, M. M. H., Nekmahmud, M., Ebrahimi, P., & Fekete-Farkas, M. (2023) · Global Business Review · doi:10.1177/09721509221137199 · Cited by 247
The adoption of industry 4.0 and digitalisation of Hungarian SMEs
Endrődi-Kovács, V., & Stukovszky, T. (2022) · Society and Economy · doi:10.1556/204.2021.00024 · Cited by 46
Metadata
- Authors
- Masood, T., & Sonntag, P.
- Venue
- Computers in Industry
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 121
- Pages
- 103261
- ISSN
- 0166-3615 (ISSN-L)
- OpenAlex
- W3037376259
- Cited by
- 682
- References
- 4
- FWCI
- 59.45
- Type
- journal article
- Language
- en
- Open access
- green
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: Adoption challenges and benefits for SMEs. https://app.cochat.ai/papers/10.1016/j.compind.2020.103261
- The paper
- Masood, T., & Sonntag, P. (2020). Industry 4.0: Adoption challenges and benefits for SMEs. Computers in Industry. https://doi.org/10.1016/j.compind.2020.103261
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.
