University of Oulu

Pikkarainen, M., Gomes, J. F., Ranta, J., Ylén, P., Iivari, M., & Hurmelinna-Laukkanen, P. (2020). Network Orchestration and System Dynamics Modeling in Developing Innovative Decision Support Systems for Policy Makers. In Open Innovation: Bridging Theory and Practice (pp. 177–198). WORLD SCIENTIFIC.

Network orchestration and system dynamics modelling in developing innovative decision support systems for policy makers

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Author: Pikkarainen, Minna1; Gomes, Julius Francis2; Ranta, Jukka3;
Organizations: 1University of Oulu and VTT Technical Research Centre of Finland
2University of Oulu
3VTT Technical Research Centre of Finland
4Technical Research Centre of Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.1 MB)
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Language: English
Published: World Scientific, 2020
Publish Date: 2021-06-30


The decisions on public health policies have great impact on our society and citizens. These decisions made by policy makers are typically driven by various types of continuously changing and interlinked determinants, such as economic, social, political, and technological factors. In this dynamic setting, it is not possible for one person, or even for a team, to understand the whole system, and all cause–effect relations. Therefore, there is a need for datadriven decision support tools.

Here, attention is turned to the potential of system dynamics modeling and innovation network orchestration for developing such tools. In the book chapter, it is shown how orchestration of a network and the use of system dynamics modeling (that makes visible the causes and effects of systemic challenges) come together in relation to developing an innovative data-driven decision support system for policy makers.

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Series: Open innovation. Bridging theory and practice
ISSN: 2424-8231
ISSN-L: 2424-8231
ISBN: 978-981-121-924-5
ISBN Print: 978-981-121-922-1
Issue: 5
Pages: 177 - 198
DOI: 10.1142/9789811219238_0007
Host publication: Managing Digital Open Innovation
Host publication editor: Barlatier, Pierre-Jean
Mention, Anne-Laure
Type of Publication: A3 Book chapter
Field of Science: 512 Business and management
Funding: This research was funded by The European Union H2020-SC1-2016-CNECT SC1-PM-18-2016 - Big Data Supporting Public Health Policies in the project called MIDAS (Meaningful Integration of Data, Analytics and Services), Grant Agreement No. 727721.
EU Grant Number: (727721) MIDAS - Meaningful Integration of Data, Analytics and Services
Copyright information: © 2020 World Scientific Publishing Co Pte Ltd. Electronic version of an article published in Open Innovation: Bridging Theory and Practice (pp. 177–198). WORLD SCIENTIFIC. © World Scientific Publishing Company,