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Six principles for successful data-driven service innovation in industrial companies

  • Data-driven services play an important role in innovative business models of successful manufacturing companies: They hold great potential for the creation of unique selling points and improve the differentiation of manufacturing companies in highly competitive markets. However, the large number of newly invented digital services that fail shortly after launching implies that companies struggle with the invention and implementation of data-driven service solutions, which ends in a waste of resources. The following paper introduces guideline principles for successful innovation processes for data-driven services. The principles were identified during in-depth case studies with manufacturing companies. They contribute to a necessary paradigm change for manufacturing companies in terms of data-driven services for machines. The six identified principles emphasize new aspects regarding the new dimension of data-driven solutions and improve the life cycle management of products and services. They demonstrate how the rules of agile development can lead to successful and more efficient service innovations in the industrial sector.

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Metadaten
Verfasserangaben:Achim KampkerGND, Marco HusmannGND, Tobias Harland, Philipp JussenGND, Michael Steinbauer
ISBN:978-1-5386-1469-3
Titel des übergeordneten Werkes (Englisch):2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
Verlag:IEEE
Ort:Stuttgart
Herausgeber*in: IEEE ICE
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Datum der Veröffentlichung (online):19.06.2018
Datum der Erstveröffentlichung:19.06.2018
Datum der Freischaltung:17.06.2021
Freies Schlagwort / Tag:Innovation; Service Engineering; Smart Services
Umfang:8
FIR-Nummer:SV7249
Konferenzname:24th ICE/IEEE ITMC International Technology Management Conference
Konferenzort:Stuttgart
Konferenzzeitraum:17.06.-20.06.18
Institut / Bereiche des FIR:FIR e. V. an der RWTH Aachen
Dienstleistungsmanagement
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften