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A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003

In this paper, we develop an ecological, multi-level model that can be used to study the evolution of emerging technology. More specifically, by defining technology as a system composed of a set of interacting components, we can build upon the argument of multi-level density dependence from organiza...

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Detalles Bibliográficos
Autores principales: van den Oord, Ad, van Witteloostuijn, Arjen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5967744/
https://www.ncbi.nlm.nih.gov/pubmed/29795575
http://dx.doi.org/10.1371/journal.pone.0197024
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author van den Oord, Ad
van Witteloostuijn, Arjen
author_facet van den Oord, Ad
van Witteloostuijn, Arjen
author_sort van den Oord, Ad
collection PubMed
description In this paper, we develop an ecological, multi-level model that can be used to study the evolution of emerging technology. More specifically, by defining technology as a system composed of a set of interacting components, we can build upon the argument of multi-level density dependence from organizational ecology to develop a distribution-independent model of technological evolution. This allows us to distinguish between different stages of component development, which provides more insight into the emergence of stable component configurations, or dominant designs. We validate our hypotheses in the biotechnology industry by using patent data from the USPTO from 1976 to 2003.
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spelling pubmed-59677442018-06-08 A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003 van den Oord, Ad van Witteloostuijn, Arjen PLoS One Research Article In this paper, we develop an ecological, multi-level model that can be used to study the evolution of emerging technology. More specifically, by defining technology as a system composed of a set of interacting components, we can build upon the argument of multi-level density dependence from organizational ecology to develop a distribution-independent model of technological evolution. This allows us to distinguish between different stages of component development, which provides more insight into the emergence of stable component configurations, or dominant designs. We validate our hypotheses in the biotechnology industry by using patent data from the USPTO from 1976 to 2003. Public Library of Science 2018-05-24 /pmc/articles/PMC5967744/ /pubmed/29795575 http://dx.doi.org/10.1371/journal.pone.0197024 Text en © 2018 van den Oord, van Witteloostuijn http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
van den Oord, Ad
van Witteloostuijn, Arjen
A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003
title A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003
title_full A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003
title_fullStr A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003
title_full_unstemmed A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003
title_short A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003
title_sort multi-level model of emerging technology: an empirical study of the evolution of biotechnology from 1976 to 2003
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5967744/
https://www.ncbi.nlm.nih.gov/pubmed/29795575
http://dx.doi.org/10.1371/journal.pone.0197024
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