Predicting the Innovation Activity of Chemical Firms Using an Ensemble of Decision Trees
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39899810" target="_blank" >RIV/00216275:25410/15:39899810 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Predicting the Innovation Activity of Chemical Firms Using an Ensemble of Decision Trees
Original language description
A number of studies are concerned with the analysis of predicting innovation activity, because companies' innovation activity is one of the fundamental determinants for their competitiveness. However, most studies use a linear (logistic) regression modelfor their analysis. This, however, is not able to take into account all the recursive terms concerning a company's innovation activity. Therefore, in the report we demonstrate the use of ensembles of decision trees to model the intrinsic nonlinear characteristics of the innovation process. We apply this method for predicting innovation activity to chemical companies. We show that internal knowledge spillovers were the most important determinant for the chemical firms' innovation activity during the monitored period. Furthermore, R&D intensity, collaboration on innovation and firm size were also important determinants.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-02836S" target="_blank" >GA14-02836S: Modelling of knowledge spill-over effects in the context of regional and local development</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings from 11th International Conference on Innovations in Information Technology
ISBN
978-1-4673-8511-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
35-39
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Dubai
Event date
Nov 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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