Investigation on the acceptance of an Industry 4.0 maturity model and improvement possibilities

Alexander Kieroth, Manuel Brunner, Nadine Bachmann, Herbert Jodlbauer, Wolfgang Kurz

Research output: Contribution to journalConference articlepeer-review

7 Citations (Scopus)


The interest of companies achieving a high maturity on Industry 4.0 is nowadays increasing more than ever. However, companies are still not using maturity models to define their actual maturity and targeted maturity. A qualitative study deals with the question of why one representative maturity model has a shadowy existence in industry and is not in widespread use to exploit industry 4.0 potentials as estimated. As a result of this qualitative study, insights about necessity and complexity of the model were given. Moreover, improvement possibilities were derived from the study and tested in an example. One of the maturity models index categories, the Big Data's V for Velocity, was the role model to show an improvement approach. The findings contribute to a better understanding of the users' needs and show a possible pathway out of the shadow existence for this maturity model.

Original languageEnglish
Pages (from-to)428-437
Number of pages10
JournalProcedia Computer Science
Publication statusPublished - 2022
EventInternational Conference on Industry 4.0 and Smart Manufacturing - Hagenberg, Austria
Duration: 17 Nov 202119 Nov 2021


  • Big Data
  • Improvement
  • Industry 4.0
  • Maturity Model
  • Velocity


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