<div class="csl-bib-body">
<div class="csl-entry">Nausch, M., Schumacher, A., & Sihn, W. (2019). Assessment of Organizational Capability for Data Utilization - A Readiness Model in the Context of Industry 4.0. In N. M. Durakbasa & M. G. Gençyılmaz (Eds.), <i>Proceedings of the International Symposium for Production Research 2019</i> (pp. 243–252). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-31343-2_21</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/95233
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dc.description.abstract
- Increased utilization of digital elements and computer assistance in industrial enterprises leads to the acquisition of data encompassing all company levels and areas. Subsequently, manufacturing companies face large amounts of collected data from different sources and in various formats. Today this data is beginning to be viewed as a resource, comparable to material or machines. Thus, the ability to effectively collect and utilize internal and external data, is becoming an increasingly important factor in determining their economic success.
In this paper we develop a readiness model which can assess the Capability to Utilize Data in Industrial Enterprises (CUDIE). This model enables industrial decision makers to determine their organization's current status, to define strategies to increase data usage and to identify individual fields for improvement. Our model is based on various frameworks for readiness and maturity model development, as well as an Industry 4.0 maturity model that has already been applied in industrial settings. To assess readiness in real industry environments we transformed the theoretical CUDIE-model into a practically applicable tool that combines self-assessment with an external audit-based assessment.
Finally, in order to validate the model, and to collect feedback concerning its applicability and suitability, we tested our model on an industry use-case. There we could conclude that our method can be used to help companies to identify their current capability for data utilization, to derive areas of improvement and to define their future strategic steps.
en
dc.language.iso
en
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dc.relation.ispartofseries
Lecture Notes in Mechanical Engineering
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dc.subject
Industry 4.0
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dc.subject
Readiness Model
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dc.subject
Data Utilization
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dc.subject
Manufacturing Industry
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dc.subject
Assessment Method
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dc.title
Assessment of Organizational Capability for Data Utilization - A Readiness Model in the Context of Industry 4.0
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
Proceedings of the International Symposium for Production Research 2019
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dc.contributor.editoraffiliation
Istanbul Aydın University, İstanbul, Turkey
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dc.relation.isbn
978-3-030-31342-5
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dc.relation.doi
10.1007/978-3-030-31343-2
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dc.relation.issn
2195-4356
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dc.description.startpage
243
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dc.description.endpage
252
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
2195-4364
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tuw.booktitle
Proceedings of the International Symposium for Production Research 2019
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tuw.book.ispartofseries
Lecture Notes in Mechanical Engineering
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tuw.relation.publisher
Springer Nature Switzerland AG
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tuw.publication.orgunit
E330-02 - Forschungsbereich Betriebstechnik, Systemplanung und Facility Management
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tuw.publisher.doi
10.1007/978-3-030-31343-2_21
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dc.description.numberOfPages
10
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tuw.editor.orcid
0000-0002-2048-1978
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tuw.event.name
International Symposium for Production Research 2019
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tuw.event.startdate
28-08-2019
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tuw.event.enddate
30-08-2019
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Wien
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tuw.event.country
AT
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tuw.event.presenter
Nausch, Mathias
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wb.sciencebranch
Wirtschaftswissenschaften
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wb.sciencebranch.oefos
5020
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wb.facultyfocus
Außerhalb der primären Forschungsgebiete der Fakultät
de
wb.facultyfocus
Outside the Faculty's primary research activities
en
item.fulltext
no Fulltext
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item.languageiso639-1
en
-
item.openairetype
Konferenzbeitrag
-
item.openairetype
Inproceedings
-
item.grantfulltext
none
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.cerifentitytype
Publications
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item.cerifentitytype
Publications
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crisitem.author.dept
E311 - Institut für Fertigungstechnik und Photonische Technologien
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crisitem.author.dept
E330 - Institut für Managementwissenschaften
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crisitem.author.dept
E330 - Institut für Managementwissenschaften
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crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften
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crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften
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crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften