1.

Record Nr.

UNINA9910427045003321

Autore

Schymanietz Martin

Titolo

Capabilities for data-driven service innovation / / Martin Schymanietz

Pubbl/distr/stampa

Wiesbaden, Germany : , : Springer Gabler, , [2020]

©2020

ISBN

3-658-31691-8

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XIX, 219 p. 1 illus.)

Collana

Markt- und Unternehmensentwicklung Markets and Organisations

Disciplina

005.369

Soggetti

Business - Data processing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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. .

Sommario/riassunto

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.