Network Orchestration and System Dynamics Modeling in Developing Innovative Decision Support Systems for Policy Makers

Minna Pikkarainen, Julius Francis Gomes, Jukka Ranta, Peter Ylén, Marika Iivari, Piia Hurmelinna-Laukkanen

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationManaging Digital Open Innovation
EditorsPierre-Jean Barlatier, Anne-Laure Mention
PublisherWorld Scientific Publishing
Chapter7
Pages177-198
ISBN (Electronic)978-981-121-924-5
ISBN (Print)978-981-121-922-1
DOIs
Publication statusPublished - Jun 2020
MoE publication typeA3 Part of a book or another research book

Publication series

SeriesOpen Innovation: Bridging Theory and Practice
Volume5
ISSN2424-8231

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