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Erschienen in: Soft Computing 18/2020

21.12.2019 | Focus

Predicting one type of technological motion? A nonlinear map to study the ‘sailing-ship’ effect

verfasst von: Giovanni Filatrella, Nicola De Liso

Erschienen in: Soft Computing | Ausgabe 18/2020

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Abstract

In this work, we use a proven model to study a dynamic duopolistic competition between an old technology and a new technology which through an improved technical performance—e.g. data transmission capacity—fight in order to conquer market share. The process whereby an old technology fights a new one off through own improvements has been named ‘sailing-ship effect’. In the simulations proposed, intentional improvements of both the old technology and the new technology are affected by the values of three key parameters: scientific-technological, purely technological and purely economic. The interaction between these components gives rise to different outcomes in terms of prevalence of one technology over the other.

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Fußnoten
1
Should the firms carry out R&D with their own resources, they would miss the interest rate that they would have received, had those same resources been invested in financial assets.
 
2
Joseph Schumpeter writes that it is the banking system which makes innovation possible by risking the capital, defining the banker as the ephor of the exchange economy (1911, English translation 1961, p. 74). Despite the fact that big corporations very often do not depend on the banking system because they have their internal resources (this would be the ‘Schumpeter Mark II’ situation), new innovative start-ups actually do often depend on that banking system. The latter, by selecting which projects to finance, applying different interest rates, implicitly affects the innovative path.
 
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Metadaten
Titel
Predicting one type of technological motion? A nonlinear map to study the ‘sailing-ship’ effect
verfasst von
Giovanni Filatrella
Nicola De Liso
Publikationsdatum
21.12.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 18/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-04622-y

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