Explaining institutional technology

This paper offers a review and several refinements and extensions of Explaining Technology , by Koppl et al. (2023), which develops a combinatorial theory of the evolution of technology. First, we suggest that the mechanism of tinkering can be formulated in the theory of user innovation. Second, we propose that a useful refinement is to focus on institutional technologies. This offers a better explanation of emergent levels of evolutionary selection, or major transitions, and also adapts their framework to better explain the nature of a digital economy. Third, we propose a more ambitious line of generalisation from explaining technology to explaining knowledge. We suggest this is possible from the rubric of the new ‘physics of information’ in constructor theory, assembly theory and Bayesian mechanics.

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Publication Details

Journal
European Economic Review
Published
2025-01-27
DOI
https://doi.org/10.1016/j.euroecorev.2025.104968
Citations
5
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
15.66
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article

Explaining institutional technology

Bill Tulloh, Jason Potts, Kurt Dopfer
5 citations
European Economic Review
Economic and Technological Innovation
15.66
article

Explaining institutional technology

Bill Tulloh, Jason Potts, Kurt Dopfer
article en
5 citations

Abstract

This paper offers a review and several refinements and extensions of Explaining Technology , by Koppl et al. (2023), which develops a combinatorial theory of the evolution of technology. First, we suggest that the mechanism of tinkering can be formulated in the theory of user innovation. Second, we propose that a useful refinement is to focus on institutional technologies. This offers a better explanation of emergent levels of evolutionary selection, or major transitions, and also adapts their framework to better explain the nature of a digital economy. Third, we propose a more ambitious line of generalisation from explaining technology to explaining knowledge. We suggest this is possible from the rubric of the new ‘physics of information’ in constructor theory, assembly theory and Bayesian mechanics.

European Economic ReviewVol. 173
University of St.Gallen (CH), RMIT University (AU)
Openalex Percentile: Top 2%
Economic and Technological Innovation
15.66
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