The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Roadmap Industry 4.0 – Implementation Guideline for Enterprises
Open accessAbstract
The concepts of Industry 4.0 currently challenge manufacturing companies in various divisions such as purchasing, production, intralogistics, sales and human. Therefore, there is great need for a systematic approach to develop and implement industry 4.0 strategies. However, companies show different maturity levels concerning new technologies, processes and organizational aspects. This paper introduces a procedure model enabling companies to analyse their individual maturity level, to identify their own targets and to develop a specific action plan for implementation with an interdisciplinary team. A detailed theoretical as well as practical perspective is given for the procedure model for the field of action human. First application results for an Austrian company are presented showing that organizational changes within this field are still a bottom up driven process instead of a management indicated holistic change process.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“The model was developed in collaboration with a renowned Austrian industrial company.”
From Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature (2021) · cites this paper as [56]
The cited source says what the claim attributes to it.
In the citing paper
“Pessl et al. [56] suggest a model to make companies analyse their individual maturity levels, identify their own targets and develop a specific action plan to implement the I4.0 strategy.”
From Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature (2021) · cites this paper as [56]
The cited source says what the claim attributes to it.
In the citing paper
“Only a few DTMs retrieved from the academic literature propose conducting pilot projects [51,56,57].”
From Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature (2021) · cites this paper as [56]
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
A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises
Schumacher, A., Erol, S., & Sihn, W. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.07.040 · Cited by 1,766 · cited 1×
“readiness in the domain of discrete manufacturing [2] is based on 62 maturity items in technological as well as organizational aspects.”
BackgroundDienstleistungsengineering und -management
Leimeister, J. M. (2019) · Springer eBooks · doi:10.1007/978-3-662-59858-0 · Cited by 73
Industrie 4.0-Readiness: Migration zur Industrie 4.0-Fertigung
Bildstein, A., & Seidelmann, J. (2014) · Springer eBooks · doi:10.1007/978-3-658-04682-8_30 · Cited by 45
INTERNATIONAL SCIENTIFIC JOURNAL INDUSTRY 4.0
Klіmenko, V., & Жаворонков, В. О. (2016) · Electronic Institutional Repository of the National Aviation University of Ukraine (National Aviation University, Ukraine) · Cited by 37
THE FUTURE OF EMPLOYMENT – CHALLENGES IN HUMAN RESOURCES THROUGH DIGITALIZATION
Sorko, S. R., Rabel, B., & Richter, H. M. (2016) · Industry 4.0 · Cited by 16
Personalentwicklung: Gegenstand, Prozessmodell, Erfolgsfaktoren
Solga, M., Ryschka, J., & Mattenklott, A. (2008) · Gabler eBooks · doi:10.1007/978-3-8349-9785-2_2 · Cited by 8
Research works printed but not linked: 12
- Merz, S. L., (2016), Industrie 4.0-Vorgehensmodell für die Einführung. In: Roth, A., (Edt.): Einführung und Umsetzung von Industrie 4.0, Berlin/Heidelberg, pp. 83-110.
- Jodlbauer, H., Schagerl M., (2016), Reifegradmodell Industrie 4.0-Ein Vorgehensmodell zur Identifikation von Industrie 4.0 Potentiale, INFORMATIK 2016 Lecture Notes in Informatics (LNI), Klagenfurt, Österreich, pp. 1473-1488.
- Hammer, M., (2007), The Process Audit. Harvard Business Review, April, pp. 111-123.
- Feld, T., Hoffmann, M., Schmidt, R., (2012), Industrie 4.0- Vom intelligenten Produkt zur intelligenten Produktion. In: IM Information Management und Consulting, March, pp. 38- 42.
- Tschandl, M., Mallaschitz, C., (2016), Industrie 4.0: Controller als Treiber einer strategischen Neuausrichtung. In: Der Controlling-Berater, 43, pp. 85-106.
- Erlach, K., (2010), Wertstromdesign-Der Weg zur schlanken Fabrik, Berlin: Springer Verlag.
- Rusch, M., Treusch, O., David, U., Seiter, M., (2016), Industrie 4.0 -Controllers Aufgaben. In: Controller Magazin, 3, pp. 70-79.
- Springer Gabler Verlag, (2017), Gabler Wirtschaftslexikon, [13. February 2017].
- Higgins, J. M., Wiese, G., (1996), Innovationsmanagement- Kreativitätstechniken für den unternehmerischen Erfolg, Berlin-Heidelberg: Springer Verlag.
- Leinweber, S. (2013), Kompetenzmanagement. In: Meifert, M., (Edt.), Strategische Personalentwicklung: Ein Programm in acht Etappen, pp. 145-178. Wiesbaden: Springer Gabler.
- Botthof, A., Hartmann, E. A., (Edt.), (2015), Zukunft der Arbeit in Industrie 4.0. Berlin: Springer Vieweg.
- Lauer, T., (2014), Change Management. Grundlagen und Erfolgsfaktoren, 2. Auflage, Aschaffenburg: Springer Gabler.
Cited by
Sorted by citations
Butt, J. (2020) · Designs · doi:10.3390/designs4030017 · Cited by 247
Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature
Bellantuono, N., Nuzzi, A., Pontrandolfo, P., & Scozzi, B. (2021) · Sustainability · doi:10.3390/su132312941 · Cited by 146
“Only a few DTMs retrieved from the academic literature propose conducting pilot projects [51,56,57].”
Background
Metadata
- Authors
- Pessl, E.
- Affiliations
- FH JOANNEUM University of Applied Sciences (AT)
- Corresponding author
- Pessl, Ernst
- Venue
- International Journal of Science, Technology and Society
- Publisher
- Science Publishing Group
- Published
- 2017
- Volume
- 5
- Issue
- 6
- Pages
- 193
- ISSN
- 2330-7412 (ISSN-L)
- OpenAlex
- W2767847553
- Cited by
- 140
- References
- 6
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 16 · 2023: 25 · 2022: 22 · 2021: 26 · 2020: 26 · 2019: 11 · 2018: 2
- FWCI
- 11.69
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Science Technology and Society (publishedVersion, cc-by)
- 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
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Keywords
- Industry 4.0, implementation roadmap, maturity assessment, action planning, human resource management, organizational change, bottom-up change, interdisciplinary teams, manufacturing companies, technology adoption
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: Roadmap Industry 4.0 – Implementation Guideline for Enterprises. https://app.cochat.ai/papers/10.11648/j.ijsts.20170506.14
- The paper
- Pessl, E. (2017). Roadmap Industry 4.0 – Implementation Guideline for Enterprises. International Journal of Science, Technology and Society. https://doi.org/10.11648/j.ijsts.20170506.14
