Modeling the dynamics of innovation ecosystems

Jaakko Paasi*, Henri Wiman, Tiina Apilo, Katri Valkokari

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

19 Citations (Scopus)

Abstract

Demand for solving systemic problems has resulted in the need for new forms of innovation. Accordingly, the concept of innovation ecosystem has emerged. Ecosystems are intrinsically more fluid than networks, which set ups the need to understand and orchestrate the internal dynamics of innovation ecosystem in order to have successful innovation outcomes. The dynamics of ecosystems, however, is not well understood. In this paper the dynamics of innovation ecosystems has been studied by applying the methodology of system dynamics. The purpose of the study is to support the creation of innovation ecosystems and the orchestration of existing ecosystems so that they could be more successful. Key factors generating dynamics in innovation ecosystems were identified. They form the elements of the system dynamics model of innovation ecosystems. The causal loop structure between the model elements indicates how the key factors of dynamics influence the outcome of ecosystem.

Original languageEnglish
Pages (from-to)142-158
Number of pages17
JournalInternational Journal of Innovation Studies
Volume7
Issue number2
DOIs
Publication statusPublished - Jun 2023
MoE publication typeA1 Journal article-refereed

Funding

This study has been undertaken within internal projects on innovation ecosystem governance and impacts and the solid value of digitization in the forest industry (SEED). The financial support from the VTT Technical Research Centre of Finland Ltd. and Business Finland is gratefully acknowledged. The authors wish to thank all the innovation ecosystem experts involved in the interviews and model-building workshops for sharing their experiences. Special thanks to Dr. Peter Ylén for his guidance in the early stages of this study.

Keywords

  • Ecosystem
  • Innovation ecosystem
  • Modeling
  • Open innovation
  • System dynamics

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