Exploring data-driven service innovation—aligning perspectives in research and practice

Schymanietz M, Jonas JM, Möslein K (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Journal of Business Economics Springer

DOI: 10.1007/s11573-022-01095-8

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.

Authors with CRIS profile

Martin Schymanietz Chair of Information Systems I, Innovation and Value Creation Kathrin Möslein Chair of Information Systems I, Innovation and Value Creation

Involved external institutions

HHL Leipzig Graduate School of Management DE Germany (DE)

How to cite

APA:

Schymanietz, M., Jonas, J.M., & Möslein, K. (2022). Exploring data-driven service innovation—aligning perspectives in research and practice. Journal of Business Economics. https://doi.org/10.1007/s11573-022-01095-8

MLA:

Schymanietz, Martin, Julia M. Jonas, and Kathrin Möslein. "Exploring data-driven service innovation—aligning perspectives in research and practice." Journal of Business Economics (2022).

BibTeX: Download