Capabilities for Data-Driven Service Innovation

Schymanietz M (2020)

Publication Type: Thesis

Publication year: 2020

Publisher: Springer Gabler

Edited Volumes: Markt- und Unternehmensentwicklung Markets and Organisations (MAU)

Series: Markt- und Unternehmensentwicklung Markets and Organisations

City/Town: Wiesbaden

ISBN: 9783658316907

DOI: 10.1007/978-3-658-31691-4

Abstract

Martin Schymanietz explores dynamic capabilities that help organizations to cope with the challenges and chances of the utilization of data for service provision. Data-driven service innovation provides a fruitful pathway for organizations to extend their current offerings, deepen customer relationships and increase revenues. He examines the nature of data-driven service innovation, accompanied challenges and identifies relevant actors and their roles on an individual level. This approach helps organizations to develop dynamic capabilities based on individual actors that in sum shape the whole organization.

Authors with CRIS profile

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

Additional Organisation(s)

Chair of Information Systems I, Innovation and Value Creation

How to cite

APA:

Schymanietz, M. (2020). Capabilities for Data-Driven Service Innovation (Dissertation).

MLA:

Schymanietz, Martin. Capabilities for Data-Driven Service Innovation. Dissertation, Wiesbaden: Springer Gabler, 2020.

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