Exploring Service Science

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9th International Conference, IESS 2018, Karlsruhe, Germany, September 19-21,2018, Proceedings, Lecture Notes in Business Information Processing 331

ISBN: 303000712X
ISBN 13: 9783030007126
Herausgeber: Gerhard Satzger/Lia Patrício/Mohamed Zaki et al
Verlag: Springer Verlag GmbH
Umfang: xiii, 416 S., 67 s/w Illustr., 416 p. 67 illus.
Erscheinungsdatum: 13.09.2018
Auflage: 1/2018
Produktform: Kartoniert
Einband: Kartoniert

This book constitutes the proceedings of the 9th International Conference on Exploring Services Science, IESS 2018, held in Karlsruhe, Germany, in September 2018. The 30 papers presented in this volume were carefully reviewed and selected from 67 submissions. The book is structured in six parts, each featuring contributions describing current research in a particular domain of service science: Service Design and Innovation; Smart Service Processes; Big Data in Services; Service Topics Open Exploration; Design Science Research in Services. The book offers an extended, ICT-focused vision on services and addresses multiple relevant aspects, including underlying business models, the necessary processes and technological capabilities like big data and machine learning. The academic work showcased at the conference should help to advance service science and its application in practice.

Artikelnummer: 5427699 Kategorie:

Beschreibung

This book constitutes the proceedings of the 9th International Conference on Exploring Services Science, IESS 2018, held in Karlsruhe, Germany, in September 2018. The 30 papers presented in this volume were carefully reviewed and selected from 67 submissions. The book is structured in six parts, each featuring contributions describing current research in a particular domain of service science: Service Design and Innovation; Smart Service Processes; Big Data in Services; Service Topics Open Exploration; Design Science Research in Services. The book offers an extended, ICT-focused vision on services and addresses multiple relevant aspects, including underlying business models, the necessary processes and technological capabilities like big data and machine learning. The academic work showcased at the conference should help to advance service science and its application in practice.

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