Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/70829

Towards Design Principles for Data-Driven Services in Industrial Environments

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Title:Towards Design Principles for Data-Driven Services in Industrial Environments
Authors:Azkan, Can
Iggena, Lennart
Möller, Frederik
Otto, Boris
Keywords:Service Science
data-driven services
design principles
industrial environment
smart services
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Date Issued:05 Jan 2021
Abstract:The ever-growing amounts of data offer companies many opportunities to exploit them. Resulting data-driven services hold great potential for creating unique value for customers and the achievement of competitive advantages. Nevertheless, especially companies in the industrial environment struggle to implement successful data-driven service innovations. Surprisingly, there is a lack of scientific research addressing this issue. Thus, our research generates design principles for data-driven services to aid in their development. For this purpose, we present a qualitative interview study with experts in different lines of businesses among the industry sector, holding varying positions and roles in service systems. Through practical examples, we show which challenges exist in the development and use of data-driven services. On this basis, we derive design principles to help understanding data-driven services and to overcome difficulties identified in practice, notably, that allows practitioners to develop new services or re-design existing ones.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/70829
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.217
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Service Science


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