Cited by 2,201Digital Transformation in IndustryImpact of AI and Big Data on Business and SocietyAdvanced Data and IoT Technologies

The expected contribution of Industry 4.0 technologies for industrial performance

Open access
Dalenogare, Lucas Santos, Benitez, Guilherme Brittes, Ayala, Néstor Fabián, Frank, Alejandro Germán·2018·International Journal of Production Economics

Integrity signals

Registry

Crossref · 10.1016/j.ijpe.2018.08.019

Cites

99 of 99 references verified0 citation errors · 0 not checkable

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  • Industry 4.0 functions through an integration of manufacturing operation systems and information and communication technologies, creating Cyber-Physical Systems.

    “It is the latest industrial system which functions through an integration of manufacturing operation systems and information and communication technologies (ICT), thus creating the much nuanced Cyber-Physical Systems (CPS) [25,26].”

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Authors
Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G.
Affiliations
  • Universidade Federal do Rio Grande do Sul (BR)
  • Institut polytechnique de Grenoble (FR)
Corresponding author
Frank, Alejandro Germán
Venue
International Journal of Production Economics
Publisher
Elsevier BV
Published
2018-10
Volume
204
Pages
383-394
ISSN
0925-5273 (ISSN-L)
OpenAlex
W2888648656
Cited by
2,201
References
99
Citations by year
2026: 183 · 2025: 271 · 2024: 325 · 2023: 439 · 2022: 384 · 2021: 293 · 2020: 208 · 2019: 89 · 2018: 7 · 2014: 1
FWCI
123.66
Type
journal article
Language
en
Open access
Locations
  • International Journal of Production Economics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Lume (Universidade Federal do Rio Grande do Sul) (submittedVersion, cc-by-nc-sa)
Funders
  • CNPq (305844/2015-6)
  • FAPERGS (17/2551-0001)
  • CAPES
Topics
  • 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
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
Keywords
Industry 4.0, Industry 4.0 technologies, industrial performance, technology adoption, perceived benefits, emerging technologies, manufacturing integration, Brazilian industry, emerging markets

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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.

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