Enhancing foresight models with network science: Measuring innovation feedbacks within the Chain-Linked Model

Martin Ho, Henry C.W. Price, Tim S. Evans and O’Sullivan, Eoin

Technological Forecasting and Social Change, 2025, vol. 213, issue C

Abstract: A granular understanding of innovation dynamics is crucial for forecasting how and when different actors within the innovation system can make valuable contributions. Existing theoretical foundations of the foresight practice are largely qualitative and often oversimplify the innovation process. While foresight practitioners acknowledge the existence of knowledge feedback loops, these feedback loops are rarely quantified systematically in empirical forecasting studies. Innovators and funders tend to choose their dyadic relationships but rarely have visibility over the wider, dynamic innovation network. This study enriches innovation theories for the foresight practice by leveraging multilayer citation networks to explore innovation translation pathways, achieved by integrating data from market entries, clinical trials, patents, publications, funders, and grants over a 70-year period. Our analysis shows shifts in the order, prevalence, and tipping points of translation activities as technologies mature, with granularity not described in previous studies. We also examine the distinct funding patterns of major public and private entities throughout this maturation process, revealing their unique contributions and enriching sociotechnical explanations of innovation processes. This study improves the explainability of technology forecasting through innovation theories by reconstructing micro-technical innovation dynamics from first principles.

Keywords: Technology forecasting; Network science; Scientometrics; Innovation dynamics; Chain-linked model; Innovation translation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162525000411
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:213:y:2025:i:c:s0040162525000411

DOI: 10.1016/j.techfore.2025.124010

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().