A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises

Schumacher, Andreas; Erol, Selim; Sihn, Wilfried

doi:10.1016/j.procir.2016.07.040

Cited by 1,257 publications

(979 citation statements)

References 12 publications

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“…Issues under discussion included: experience of SME with lean methods, success of lean projects in product development, application, efforts undertaken to introduce known lean methods and their potential and benefits, the influence of Industry 4.0 in the application of lean principles in product development, difficulties in the introduction of Industry 4.0 in product development, and the need for smart products (cyber-physical products). A maturity model for assessing Industry 4.0 readiness and the maturity of manufacturing enterprises is described by Schumacher et al (2016). He examines nine dimensions, including strategy, leadership, customers, product, operations, culture, people, governance, and technology, and accompanies each dimension with exemplary maturity items.…”

Section: Resultsmentioning

confidence: 99%

Consequences of Industry 4.0 in Business and Economics

et al. 2018

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Abstract:The introduction of information technology into all aspects of our lives has brought forth qualitative and quantitative changes on such a large scale that this process has come to be known as the Fourth Industrial Revolution, or Industry 4.0. The aim of this paper is to fill in the gaps and provide an overview of studies dealing with Industry 4.0 from the business and economic perspectives. A scoping review is performed regarding business, microeconomic and macroeconomic economic problems. Four investigators performed a literature search of the Web of Science, Scopus, and Science Direct. The selected period spanned from 2014 to 2018, and the following keywords were used for the search: Industry 4.0, economics, economic development, production economics, and financial sector. A total of 2275 results were returned. In all, 67 full papers were screened. Results obtained from the relevant studies were, furthermore, divided into the following categories: work and skills development; economy growth and macroeconomic aspect; sustainability; intelligent manufacturing; policy; and change in business processes. Findings show that the aspects of work and skills development, smart technology adoption, intelligent manufacturing, and digitalization are very well described. The government and its policies usually play the role of a needed supportive element. Usually studies lack a coherent view of the topic in question and solve partial questions.

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Section: Resultsmentioning

confidence: 99%

Consequences of Industry 4.0 in Business and Economics

et al. 2018

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“…The BPMM and CMMI are representatives of the most famous MMs developed [14,25]. Leyh et al [26], Gökalp et al [27], Schumacher et al [28], and Luftman [29] are representatives of scientific MM approaches from different years. Property of the organization, which represents the object/area/process of investigation; used by one or more maturity level and can be related to a dimension within an organization Factor specification Technical and foundational requirement construct for determining the maturity level; acts as the maturity level's individual expression of a factor (needed due to multi-usage of factors) Indicator Measurable property of one or more factors within an organization; uses an indicator type for measurement Indicator type…”

Section: Meta Model Application and Discussionmentioning

confidence: 99%

Overcoming the Ivory Tower: A Meta Model for Staged Maturity Models

Bley

Schön

Strahringer

2020

Lecture Notes in Computer Science

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When it comes to the economic and strategic development of companies, maturity models are regarded as silver bullets. However, the existing discrepancy between the large amount of existing, differently developed models and their rare application remains astonishing. We focus on this phenomenon by analyzing the models' interpretability and possible structural and conceptual inconsistencies. By analyzing existing, staged maturity models, we develop a meta model for staged maturity models so different maturity models may share common semantics and syntax. Our meta model can therefore contribute to the conceptual rigor of existing and future maturity models in all domains and can be decisive for the success or failure of a maturity measurement in a company.

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“…Additionally, the dimensions "Strategy", "Leadership", Governance, "Culture" and "People" allow for including organizational aspects into the assessment (Schumacher et al 2016). Features and capabilities of an organization in different aspects of the SCKM are, in fact, the organizational maturity in SCKM.…”

Section: Impact-oriented For It-based Managementmentioning

confidence: 99%

Maturity Assessment of Social Customer Knowledge Management (Sckm) Using Fuzzy Expert System

Lak

Rezaeenour

2018

Journal of Business Economics and Management

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Abstract. Organizations which provide electronic services do not have a logically structured strategy for implementing Customer Knowledge Management through Social media (SCKM). By assessing the position of SCKM, organizations can have a clear understanding of their maturity level and find their future investment interests. This research examined the maturity assessment of SCKM utilizing a fuzzy expert system. It consisted of a-four-stage procedure. The maturity model is based on 11 critical success factors, including strategy, leadership, information technology, knowledge management, culture, process, resources, business intelligence, security, social customer, and assessment. Results showed that the studied organization has covered 48.2% of maturity on the first level and 51.8% on the second level. Thus, to increase productivity, it is indispensable for organizations to act in a targeted way. The fuzzy expert system is not designed specifically for a case study, but can be utilized as a reference for in-depth analysis of the organizational readiness for SCKM implementation and development within organizations, which provide e-services applications.

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A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises

Cited by 1,257 publications

References 12 publications

Consequences of Industry 4.0 in Business and Economics

Consequences of Industry 4.0 in Business and Economics

Overcoming the Ivory Tower: A Meta Model for Staged Maturity Models

Maturity Assessment of Social Customer Knowledge Management (Sckm) Using Fuzzy Expert System

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