Innovation assessment: probing the future

Abstract This paper, written in honor of Paul David, explores the need for a new “assessment” discipline, called innovation assessment (IA). Such a new assessment discipline is needed as innovation has gradually disconnected itself from primarily technological based breakthroughs to broader social and organizational change issues and as a result seized progressively more or less all fields of economic policy. Contrary to the old field of technology assessment (TA), which involved ex ante technological experimentation performed in engineering laboratories, IA should consist of ex post observation and evaluation following ideally the full deployment of the innovation in the economy. As a result, IA will be a more complex process creating many policy dilemmas and trade-offs, some of which were already at the center of Paul David’s writings in the late 80s, in particular what he called the “Blind Giant dilemma.”

Authors

Institutions

Publication Details

Journal
Industrial and Corporate Change
Published
2025-09-16
DOI
https://doi.org/10.1093/icc/dtaf043
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Innovation assessment: probing the future

Dominique Foray, Luc Soete
Industrial and Corporate Change
Innovation and Knowledge Management
article

Innovation assessment: probing the future

Dominique Foray, Luc Soete
article en

Abstract

Abstract This paper, written in honor of Paul David, explores the need for a new “assessment” discipline, called innovation assessment (IA). Such a new assessment discipline is needed as innovation has gradually disconnected itself from primarily technological based breakthroughs to broader social and organizational change issues and as a result seized progressively more or less all fields of economic policy. Contrary to the old field of technology assessment (TA), which involved ex ante technological experimentation performed in engineering laboratories, IA should consist of ex post observation and evaluation following ideally the full deployment of the innovation in the economy. As a result, IA will be a more complex process creating many policy dilemmas and trade-offs, some of which were already at the center of Paul David’s writings in the late 80s, in particular what he called the “Blind Giant dilemma.”

Industrial and Corporate ChangeVol. 34(6)
United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology (NL), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 59%
Innovation and Knowledge Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.