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Capabilities for data-driven service...

Schymanietz, Martin.

Capabilities for data-driven service innovation

Record Type:	Electronic resources : Monograph/item
Title/Author:	Capabilities for data-driven service innovationby Martin Schymanietz.
Author:	Schymanietz, Martin.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden :2020.
Description:	xix, 219 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BusinessData processing.
Online resource:	https://doi.org/10.1007/978-3-658-31691-4
ISBN:	9783658316914$q(electronic bk.)

Capabilities for data-driven service innovation
Schymanietz, Martin.

Capabilities for data-driven service innovation[electronic resource] /by Martin Schymanietz. - Wiesbaden :Springer Fachmedien Wiesbaden :2020. - xix, 219 p. :ill., digital ;24 cm. - Markt- und unternehmensentwicklung markets and organisations. - Markt- und unternehmensentwicklung markets and organisations..

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.

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-Nurnberg 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. Moslein at the Department of Information Systems, Chair of Information Systems - Innovation and Value Creation.

ISBN: 9783658316914$q(electronic bk.)

Standard No.: 10.1007/978-3-658-31691-4doiSubjects--Topical Terms:

199085
Business
--Data processing.

LC Class. No.: HF5548.2 / .S39 2020

Dewey Class. No.: 658.05

Capabilities for data-driven service innovation
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520 $a 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-Nurnberg 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. Moslein at the Department of Information Systems, Chair of Information Systems - Innovation and Value Creation.
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