dc.contributor.author | Azkan, Can | |
dc.contributor.author | Möller, Frederik | |
dc.contributor.author | Iggena, Lennart | |
dc.contributor.author | Otto, Boris | |
dc.date.accessioned | 2022-09-13T18:14:07Z | |
dc.date.available | 2022-09-13T18:14:07Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Azkam, C., Möller, F., Iggena, L. and Otto, B. (2022) Design Principles for Industrial Data-Driven Services. IEEE Transactions in Engineering Management, (Accepted for publication), 24pp. | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/2071 | |
dc.identifier.uri | http://dx.doi.org/10.25607/OBP-1843 | |
dc.description.abstract | The continuously growing availability and volume of
data pressure companies to leverage them economically. Subsequently,
companies must find strategies to incorporate data sensibly
for internal optimization and find new business opportunities in
data-driven business models. In this article, we focus on using
data and data analytics in product-oriented industrial companies.
Although data-driven services are becoming increasingly important,
little is known about their systematic design and development
in research. Surprisingly, many companies face significant
challenges and fail to create these services successfully. Against
this background, this article presents findings from a multicase
based on qualitative interviews and workshops with experts from
different industrial sectors. We propose ten design principles and
corresponding design features to successfully design industrial
data-driven services in this context. These design principles help
practitioners and researchers to understand the peculiarities of creating
data-driven services more in-depth on a conceptual, technical,
and organizational level. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Data-driven services | en_US |
dc.subject.other | Design principles | en_US |
dc.subject.other | Design science | en_US |
dc.subject.other | Digital business models | en_US |
dc.subject.other | Service innovation | en_US |
dc.title | Design Principles for Industrial Data-Driven Services. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | 24pp. | en_US |
dc.subject.parameterDiscipline | Cross-discipline | en_US |
dc.subject.dmProcesses | Data management planning and strategy development | en_US |
dc.bibliographicCitation.title | IEEE Transactions on Engineering Management | en_US |
dc.bibliographicCitation.volume | 2022 (Accepted for publication) | en_US |
dc.description.maturitylevel | Concept | en_US |
dc.description.methodologyType | Reports with methodological relevance | en_US |
obps.contact.contactname | Can Azkam | |
obps.contact.contactemail | can.azkan@isst.fraunhofer.de | |
obps.resourceurl.publisher | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9789746 | |