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2017 | OriginalPaper | Chapter

14. Big Data und technologiegetriebene Geschäftsmodellinnovation

Authors : Katharina Hölzle, Tobias Schoder, Nina Spiri, Victoria Götz

Published in: Digitale Transformation von Geschäftsmodellen

Publisher: Springer Fachmedien Wiesbaden

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Zusammenfassung

Wie verändert eine radikal neue Technologie existierende Geschäftsmodelle eines Unternehmens bzw. schafft neue Geschäftsmodelle nicht nur für ein Unternehmen, sondern für eine ganze Branche? Am Beispiel der In-Memory Technologie und hier speziell SAP HANA wird anhand von vier Fallstudien zunächst eine Bestandsaufnahme des aktuellen Einsatzes der In-Memory Technologie mit ihren Auswirkungen auf existierende Geschäftsmodelle im Kontext von Big Data beschrieben. Die Autoren können zeigen, dass die meisten Unternehmen dem Einsatz einer solch radikal neuen Technologie zunächst mit Geschäftsprozessänderungen begegnen. Nur wenige Unternehmen nutzen die Technologie als Auslöser für ein komplettes Re-Design ihres Geschäftsmodells, da die potentiellen Chancen und Risiken nur schwer abschätzbar sind. Gleichzeitig wünschen sich die Unternehmen insbesondere in Hinblick auf die Big Data getriebenen Trends Konnektivität (Connectivity), Personalisierung (Personalization), Management der Komplexität (Management of Complexity) und des Entstehens komplett neuer Märkte einfache aber zugleich machtvolle Technologien, um diesen Trends mit neuen Geschäftsmodellen zu begegnen. Theoriegeleitet und fallstudiengestützt entwickeln die Autoren ein Modell für technologiegetriebene Geschäftsmodellinnovation.
Footnotes
1
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Metadata
Title
Big Data und technologiegetriebene Geschäftsmodellinnovation
Authors
Katharina Hölzle
Tobias Schoder
Nina Spiri
Victoria Götz
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-658-12388-8_14

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