Deriving secondary traits of industry 4.0

A comparative analysis of significant maturity models

Bibliographic Data

ID21652041
AuthorsFrantišek Simetinger (0000-0002-3265-0249, University of Economics in Prague Prague Czech Republic, corresponding author), John Zaixin Zhang (0000-0002-4074-9505, University of North Florida), Zuopeng Zhang (University of North Florida Jacksonville Florida USA)
Year2020
Volume37
Issue4
Pages663-678
Publication date2020-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSystems Research and Behavioral Science (JOURNAL)
Journal identifiersISSN: 1092-7026 • E-ISSN: 1099-1743
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sres.2708
OpenAlexW3035827352
LanguageEN
Citations received2
References cited35

The potential of Industry 4.0 concept is represented by increased productivity, improved cost efficiency, or higher product attractiveness. The adoption of this concept is related to a high number of challenges and risks. A possible solution to address these challenges and risks is the adoption or implementation of this concept using the maturity models. The maturity models use various approaches to Industry 4.0 with concepts and procedures varying in every maturity model. However, there still exist divergences in terms of their impact on the organizational units. This research conducts the comparative analysis of significant maturity models to identify generally shared traits of Industry 4.0 that are common to the majority of the analyzed maturity models. In addition, it discusses the impact of Industry 4.0 on the business informatics unit in organizations

Attractiveness · Business · Capability Maturity Model · Economics · Industrial organization · Knowledge management · Political science · Process management · Productivity · Service Integration Maturity Model · Computer Science · Digital Transformation in Industry · Flexible and Reconfigurable Manufacturing Systems · Mathematics · Psychology · Technology Assessment and Management · Marketing

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