Implementing Industrial Data Science - Interview based study on success factors and obstacles

Nolte, V; Sindram, T; Mazarov, J; Deuse, J

Implementing Industrial Data Science - Interview based study on success factors and obstacles

Nolte, V Sindram, T Mazarov, J Deuse, J

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Publisher:: Carl Hanser Verlag
Publication Type:: Journal Article
Citation:: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, 2020, 115, (10), pp. 734-737
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Nolte, V
dc.contributor.author	Sindram, T
dc.contributor.author	Mazarov, J
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.date.accessioned	2022-06-20T22:18:33Z
dc.date.available	2022-06-20T22:18:33Z
dc.date.issued	2020-01-01
dc.identifier.citation	ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, 2020, 115, (10), pp. 734-737
dc.identifier.issn	0947-0085
dc.identifier.issn	0947-0085
dc.identifier.uri	http://hdl.handle.net/10453/158278
dc.description.abstract	Implementing Industrial Data Science - Interview Based Study on Success Factors and Obstacles. Companies have recently recognized the potential of Industrial Data Science, but fail in terms of implementation. This paper presents the results of a cross-industry interview study with more than 50 managers and technical experts, identifying implementation obstacles and success factors. In addition, requirements for a successful Change Management are discussed and specific action guidelines for companies are given.
dc.language	en
dc.publisher	Carl Hanser Verlag
dc.relation.ispartof	ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb
dc.relation.isbasedon	10.1515/zwf-2020-1151020
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Industrial Engineering & Automation
dc.title	Implementing Industrial Data Science - Interview based study on success factors and obstacles
dc.type	Journal Article
utslib.citation.volume	115
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-06-20T22:18:31Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	115
utslib.citation.issue	10

Abstract:

Implementing Industrial Data Science - Interview Based Study on Success Factors and Obstacles. Companies have recently recognized the potential of Industrial Data Science, but fail in terms of implementation. This paper presents the results of a cross-industry interview study with more than 50 managers and technical experts, identifying implementation obstacles and success factors. In addition, requirements for a successful Change Management are discussed and specific action guidelines for companies are given.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/158278