Modeling the innovation ecosystem and development of a dynamic innovation index

The topic of innovation currently generates a tremendous amount of interest around the world. Innovation is considered an essential part of the solution to creating more jobs and improving the socio-economic conditions of many countries around the globe. Innovation comes about through the existence...

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Main Author: Schoen, Henriette
Format: Text
Language:English
Published: STARS 2018
Subjects:
Online Access:https://stars.library.ucf.edu/etd/6377
https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=7377&context=etd
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spelling ftunicentralflor:oai:stars.library.ucf.edu:etd-7377 2023-05-15T16:52:17+02:00 Modeling the innovation ecosystem and development of a dynamic innovation index Schoen, Henriette 2018-08-01T07:00:00Z application/pdf https://stars.library.ucf.edu/etd/6377 https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=7377&context=etd English eng STARS https://stars.library.ucf.edu/etd/6377 https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=7377&context=etd Electronic Theses and Dissertations Industrial Engineering text 2018 ftunicentralflor 2021-12-21T12:17:44Z The topic of innovation currently generates a tremendous amount of interest around the world. Innovation is considered an essential part of the solution to creating more jobs and improving the socio-economic conditions of many countries around the globe. Innovation comes about through the existence of many interrelated solutions to socio-economic problems in an extensively interconnected network, which create value for each other. Such a complex creativity and innovation value-creating network is here called an Innovation Ecosystem (IE). The main objective of this dissertation research is to improve the current understanding of the IE by developing a simulation model that uses a broad set of relevant static and dynamic variables and incorporates the principles of system dynamics (SD). The proposed model, which is named the IECO-model is based on the relationships between 91 variables and the combined influences of the 43 parameters. Available data for 32 countries, representing a full span of GDP worldwide, was used to study the level of innovation in each of these countries. The result of the developed IECO-model is a novel ranking of the level of innovation through a dynamic innovation index, called the DII. The DII is a new tool to evaluate the innovation and entrepreneurship level of a given country in the context of the global economy. The most significant differentiator from other existing indices of innovation is that the DII is focusing more on the entrepreneurship qualities in 19 of the 43 parameters by looking at cultural values and belief systems, the social context, existing entrepreneurial culture, innovation attitudes, and mentality of each of the considered countries. According to DII-based ranking, the ten most innovative countries in the world are 1. Switzerland, 2. USA, 3. Finland, 4. Netherlands, 5. Iceland, 6. Sweden, 7. Germany, 8. Denmark, 9. The United Kingdom, and 10. Austria. Text Iceland University of Central Florida (UCF): STARS (Showcase of Text, Archives, Research & Scholarship)
institution Open Polar
collection University of Central Florida (UCF): STARS (Showcase of Text, Archives, Research & Scholarship)
op_collection_id ftunicentralflor
language English
topic Industrial Engineering
spellingShingle Industrial Engineering
Schoen, Henriette
Modeling the innovation ecosystem and development of a dynamic innovation index
topic_facet Industrial Engineering
description The topic of innovation currently generates a tremendous amount of interest around the world. Innovation is considered an essential part of the solution to creating more jobs and improving the socio-economic conditions of many countries around the globe. Innovation comes about through the existence of many interrelated solutions to socio-economic problems in an extensively interconnected network, which create value for each other. Such a complex creativity and innovation value-creating network is here called an Innovation Ecosystem (IE). The main objective of this dissertation research is to improve the current understanding of the IE by developing a simulation model that uses a broad set of relevant static and dynamic variables and incorporates the principles of system dynamics (SD). The proposed model, which is named the IECO-model is based on the relationships between 91 variables and the combined influences of the 43 parameters. Available data for 32 countries, representing a full span of GDP worldwide, was used to study the level of innovation in each of these countries. The result of the developed IECO-model is a novel ranking of the level of innovation through a dynamic innovation index, called the DII. The DII is a new tool to evaluate the innovation and entrepreneurship level of a given country in the context of the global economy. The most significant differentiator from other existing indices of innovation is that the DII is focusing more on the entrepreneurship qualities in 19 of the 43 parameters by looking at cultural values and belief systems, the social context, existing entrepreneurial culture, innovation attitudes, and mentality of each of the considered countries. According to DII-based ranking, the ten most innovative countries in the world are 1. Switzerland, 2. USA, 3. Finland, 4. Netherlands, 5. Iceland, 6. Sweden, 7. Germany, 8. Denmark, 9. The United Kingdom, and 10. Austria.
format Text
author Schoen, Henriette
author_facet Schoen, Henriette
author_sort Schoen, Henriette
title Modeling the innovation ecosystem and development of a dynamic innovation index
title_short Modeling the innovation ecosystem and development of a dynamic innovation index
title_full Modeling the innovation ecosystem and development of a dynamic innovation index
title_fullStr Modeling the innovation ecosystem and development of a dynamic innovation index
title_full_unstemmed Modeling the innovation ecosystem and development of a dynamic innovation index
title_sort modeling the innovation ecosystem and development of a dynamic innovation index
publisher STARS
publishDate 2018
url https://stars.library.ucf.edu/etd/6377
https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=7377&context=etd
genre Iceland
genre_facet Iceland
op_source Electronic Theses and Dissertations
op_relation https://stars.library.ucf.edu/etd/6377
https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=7377&context=etd
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