Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/312476 
Year of Publication: 
2022
Citation: 
[Journal:] Journal of Business Economics [ISSN:] 1861-8928 [Volume:] 92 [Issue:] 7 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2022 [Pages:] 1167-1205
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
Data collected from interconnected devices offer wide-ranging opportunities for data-driven service innovation that delivers additional or new value to organizations' customers and clients. While previous studies have focused on traditional service innovation and servitization, few scholarly works have examined the influence of data on these two concepts. With the aim of deepening the understanding of data as a key resource for service innovation and overcoming challenges for a broader application, this study combines a systematic literature review and expert interviews. This study (a) synthesizes the various existing definitions of a data-driven service, (b) investigates attributes of data-driven service innovation, and (c) explores the corresponding organizational capabilities. The goal is to examine the repercussions of data utilization for service provision. The findings indicate that the use of data makes service innovation more complex. Data add new attributes, including a data-oriented culture; issues of data access, data ownership, privacy, and standardization; as well as the potential for new revenue models. The paper contributes to current discussions by providing an aligned perspective of theory and practice in data-driven service innovation and recommending that managers implement a culture and strategy that embraces the specifics of data usage.
Subjects: 
Data-driven services
Data-driven service innovation
Servitization
Dynamic capabilities
JEL: 
O32
O33
M15
L86
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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