Capabilities for Data Driven Service Innovation

Part I Introduction: Objective of this dissertation Grounding of the dissertation:
Theoretical background Part II Overall research question: What organizational
dynamic capabilities are required for data-driven service innovation? Introducing
 ...

Capabilities for Data Driven Service Innovation

Capabilities for Data Driven Service Innovation

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. Contents From the resource-based view to dynamic capabilities Dynamic capabilities for service innovation Introducing data-driven service innovation Identifying actors and challenges Exploring actor roles and capabilities Towards a dynamic capability framework for data-driven service innovation Target Groups Lecturers and students of business administration, business informatics, industrial engineering, management, innovation management Experts in management, innovation management, and R&D The Author Dr. Martin Schymanietz is a postdoctoral researcher at the Friedrich-Alexander University Erlangen-Nürnberg with a focus on the innovation of data-driven service and its characteristics. He received his PhD in economic sciences from Prof. Dr. Kathrin M. Möslein at the Department of Information Systems, Chair of Information Systems - Innovation and Value Creation.

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Capabilities for Data-Driven Service Innovation
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