• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Collaborative development of business models in smart service ecosystems
 
  • Details
  • Full
Options
2017
Conference Paper
Title

Collaborative development of business models in smart service ecosystems

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.
Author(s)
Bullinger, Hans-Jörg  
Neuhüttler, Jens  
Nägele, Rainer  
Woyke, Inka  
Mainwork
Portland International Conference on Management of Engineering and Technology, PICMET 2017. Proceedings  
Project(s)
SUS
SUS
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Conference
Portland International Conference on Management of Engineering and Technology (PICMET) 2017  
Language
English
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024