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Cited by 96Non-Destructive Testing TechniquesDigital Transformation in IndustryDigital Innovation in Industries

Digitization, Digitalization, and Digital Transformation

Vrana, Johannes, Singh, Ripi·2021·Handbook of Nondestructive Evaluation 4.0
DOI 10.1007/978-3-030-48200-8_39-1
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Integrity signals

Registry

Crossref · 10.1007/978-3-030-48200-8_39-1

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • AI may contribute to digital transformation efforts in universities, similar to the push for paperless offices in the 1990s.

    “AI may contribute to digital transformation efforts, similar to the push for paperless offices in the 1990s (Vrana & Singh, 2021), and universities might deploy AI to reduce staff loads, an efficiency expected to extend to research integrity and ethics committees.”

    From A university framework for the responsible use of generative AI in research (2026) · cites this paper as Vrana & Singh, 2021

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Authors
Vrana, J., & Singh, R.
Affiliations
Vrana GmbH (Germany) (DE)
Corresponding author
Vrana, Johannes
ORCID
Venue
Handbook of Nondestructive Evaluation 4.0
Publisher
Springer International Publishing
Published
2021
Pages
1-17
DOI
10.1007/978-3-030-48200-8_39-1
OpenAlex
W3197151956
Cited by
96
References
1
Citations by year
2026: 6 · 2025: 20 · 2024: 27 · 2023: 27 · 2022: 10 · 2021: 5 · 2020: 1
FWCI
57.52
Type
book chapter
Language
en
Open access
closed
Licence
Locations
Springer eBooks (publishedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
Keywords
digitization, digitalization, digital transformation, non-destructive testing, informatization, Fourth Industrial Revolution, data evolution

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.

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