Design Principles for Industrial Data-Driven Services.

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Date
2022Author
Azkan, Can
Möller, Frederik
Iggena, Lennart
Otto, Boris
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Show full item recordAbstract
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 researche.....
Journal
IEEE Transactions on Engineering ManagementVolume
2022 (Accepted for publication)Page Range
24pp.Document Language
enMaturity Level
ConceptCitation
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.Collections
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