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dataset_v1.dta application/x-stata 3.6 MB 04/30/2018 06:35:AM

Project Citation: 

van den Oord, Ad, and van Witteloostuijn, Arjen. A Multi-Level Model of Emerging Technology: An empirical study of the evolution of biotechnology from 1976 to 2003. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2018-04-30. https://doi.org/10.3886/E102881V1

Project Description

Summary:  View help for Summary 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. 

Scope of Project

Subject Terms:  View help for Subject Terms patents; biotechnology; diversity; density dependence; emerging technology; technological growth; organizational ecology
Geographic Coverage:  View help for Geographic Coverage USA
Time Period(s):  View help for Time Period(s) 1/1976 – 12/2003
Collection Date(s):  View help for Collection Date(s) 1/2007 – 12/2007
Universe:  View help for Universe USPTO patents
Data Type(s):  View help for Data Type(s) administrative records data

Methodology

Data Source:  View help for Data Source United States Patent and Trademark Office
Unit(s) of Observation:  View help for Unit(s) of Observation Biotechnology patent subclasses

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