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Collaborative development of business models in smart service ecosystems

 
: Bullinger, Hans-Jörg; Neuhüttler, Jens; Nägele, Rainer; Woyke, Inka

Kocaoglu, Dundar F. (Ed.) ; Portland International Center for Management of Engineering and Technology -PICMET-:
Portland International Conference on Management of Engineering and Technology, PICMET 2017. Proceedings : Technology Management for Interconnected World; July 9 - 13, 2017, Portland, Oregon, USA
Portland/Or.: Portland State University, 2017
9 S.
Portland International Conference on Management of Engineering and Technology (PICMET) <2017, Portland/Or.>
Bundesministerium für Bildung und Forschung BMBF
01FG14016D; SUS
Smart Urban Services: Daten-basierte Dienstleistungsplattform für die urbane Wertschöpfung von morgen
Bundesministerium für Bildung und Forschung BMBF
01FG14017D; SUS
Smart Urban Services: Daten-basierte Dienstleistungsplattform für die urbane Wertschöpfung von morgen
Englisch
Konferenzbeitrag
Fraunhofer IAO ()

Abstract
The growing prevalence of technology-driven concepts, such as the “Internet of things” or “Industry 4.0”, holds substantial potentials for service sectors worldwide. In this context, “Smart Services” describe data-based, individually configurable bundles of physically delivered services, digital services as well as physical products, which are usually performed on integrated platforms. Due to their complexity and the integration of data from customers and other stakeholders as a key resource for value creation, Smart Services are performed in complex Ecosystems (e.g. in collaboration between technology, software as well as service specialists and users). However, Value Co-creation in Smart Service Ecosystems requires an adaption of stakeholders´ existing business models. Smart Service platforms need to consider value contributions of other actors, when defining their business models and vice versa. Based on the use case of Smart City Services our paper illustrates the need for developing Smart Service Business Models collaboratively between ecosystem stakeholders and provides insights about appropriate methods for doing so.

: http://publica.fraunhofer.de/dokumente/N-462157.html

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