Cited by 1,262Digital Transformation in IndustryDigital Innovation in IndustriesService and Product Innovation

Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0

Müller, Julian Marius, Buliga, Oana, Voigt, Kai-Ingo·2018·Technological Forecasting and Social Change

Integrity signals

Registry

Crossref · 10.1016/j.techfore.2017.12.019

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

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Cites

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Cited by

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Authors
Müller, J. M., Buliga, O., & Voigt, K.-I.
Affiliations
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Corresponding author
Müller, Julian Marius
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2018-07
Volume
132
Pages
2-17
ISSN
0040-1625 (ISSN-L)
OpenAlex
W2781768742
Cited by
1,262
References
7
Citations by year
2026: 100 · 2025: 136 · 2024: 159 · 2023: 193 · 2022: 207 · 2021: 200 · 2020: 138 · 2019: 106 · 2018: 23
FWCI
91.62
Type
journal article
Language
en
Open access
closed
Locations
  • Technological Forecasting and Social Change (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • 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
  • Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
Keywords
Industry 4.0, business model innovation, small and medium-sized enterprises, manufacturing SMEs, value creation, value capture, smart manufacturing, process digitization, automotive suppliers, Industry 4.0 adoption, industrial value chain

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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