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SDIN Research Projects

Service design for innovation frameworks and methods
Multidisciplinary contributionsService logicEmerging technologies
Design for increased stakeholder participation
Resource integrating systemsCustomer engagementCo-designing in health care
Design of complex service systems and value networks
Value networksService logic prototypingService ecosystems

Value networks

Martina Čaić
Maastricht University Service Science Factory

PhD enrolment:
Maastricht University

ESR7 will focus on the design innovations for networked service offerings. This research addresses the design of stationary or mobile services in a network environment where value creation depends on the usage context (e.g., public services, health services) and the actors involved. For example, in the healthcare industry patients might receive treatment by doctors via remote video services or receive emotional support by other patients via online communities such as patientslikeme.com. The project will investigate the interdependencies between the customer network (e.g. type of users) and the provider network (e.g. types of third parties) to understand how excellent services based on these network are perceived by stakeholders and should be designed. ESR 7 will be employed and enroll in a PhD in Maastricht University (Netherlands), co-advised by Cologne University of Applied Sciences (Germany). ESR7 will undertake a secondment at an innovative health service provider (Orbis Medical Centre) to co-develop the mapping approach of stakeholders and their interaction in the service network; a research visit at the County Council of Värmland (Sweden) will validate and extend the service design approach and examine stakeholders’ willingness to participate in complex network services.

Blog posts related to this project

Blog

Understanding CX – Shifting to a Network Perspective

Customer experience (CX) became sort of a “buzz word” in recent years, both in the fields of marketing and design. …
Read more

19 May 2016

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© SDIN 2016
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement Nº 642116