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Determining factors of participation and success rates in research funding competitions: Case study

Research and innovation play a key role in generating smart and sustainable economic growth. By producing new knowledge, the research contributes to the development of new and innovative products, processes, and services, which in turn lead to increased productivity, industrial competitiveness, and,...

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Detalles Bibliográficos
Autores principales: Rusu, Valentina Diana, Mocanu, Mihaela, Bibiri, Anca-Diana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337674/
https://www.ncbi.nlm.nih.gov/pubmed/35905079
http://dx.doi.org/10.1371/journal.pone.0272292
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author Rusu, Valentina Diana
Mocanu, Mihaela
Bibiri, Anca-Diana
author_facet Rusu, Valentina Diana
Mocanu, Mihaela
Bibiri, Anca-Diana
author_sort Rusu, Valentina Diana
collection PubMed
description Research and innovation play a key role in generating smart and sustainable economic growth. By producing new knowledge, the research contributes to the development of new and innovative products, processes, and services, which in turn lead to increased productivity, industrial competitiveness, and, ultimately, the prosperity of the community as a whole. However, all research, development and innovation activities depend on the financial resources made available, as specific financing accelerates the production and dissemination of the best ideas and practices, as well as their role in meeting the challenges our society deals with nowadays. Our study aims to identify the determining factors for the researcher’s participation and success rates in research funding competitions. The goal of the research is to understand how variables such as age, gender, main field, affiliation, and scientific rank can affect the access to funding opportunities available for research and innovation. The study relies on a questionnaire-based survey conducted with 243 early-career and senior researchers from many state universities across Romania. For an in-depth analysis of the factors that influence the success rate in research competitions, in the present approach, we used both graphical and econometric methods. A binary logistic regression modelling was performed in order to explain the relationships between variables. Among other considerations, our findings revealed that in all main research fields, scientific rank and gender are important features for raising the participation and success rate in research funding competitions.
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spelling pubmed-93376742022-07-30 Determining factors of participation and success rates in research funding competitions: Case study Rusu, Valentina Diana Mocanu, Mihaela Bibiri, Anca-Diana PLoS One Research Article Research and innovation play a key role in generating smart and sustainable economic growth. By producing new knowledge, the research contributes to the development of new and innovative products, processes, and services, which in turn lead to increased productivity, industrial competitiveness, and, ultimately, the prosperity of the community as a whole. However, all research, development and innovation activities depend on the financial resources made available, as specific financing accelerates the production and dissemination of the best ideas and practices, as well as their role in meeting the challenges our society deals with nowadays. Our study aims to identify the determining factors for the researcher’s participation and success rates in research funding competitions. The goal of the research is to understand how variables such as age, gender, main field, affiliation, and scientific rank can affect the access to funding opportunities available for research and innovation. The study relies on a questionnaire-based survey conducted with 243 early-career and senior researchers from many state universities across Romania. For an in-depth analysis of the factors that influence the success rate in research competitions, in the present approach, we used both graphical and econometric methods. A binary logistic regression modelling was performed in order to explain the relationships between variables. Among other considerations, our findings revealed that in all main research fields, scientific rank and gender are important features for raising the participation and success rate in research funding competitions. Public Library of Science 2022-07-29 /pmc/articles/PMC9337674/ /pubmed/35905079 http://dx.doi.org/10.1371/journal.pone.0272292 Text en © 2022 Rusu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Rusu, Valentina Diana
Mocanu, Mihaela
Bibiri, Anca-Diana
Determining factors of participation and success rates in research funding competitions: Case study
title Determining factors of participation and success rates in research funding competitions: Case study
title_full Determining factors of participation and success rates in research funding competitions: Case study
title_fullStr Determining factors of participation and success rates in research funding competitions: Case study
title_full_unstemmed Determining factors of participation and success rates in research funding competitions: Case study
title_short Determining factors of participation and success rates in research funding competitions: Case study
title_sort determining factors of participation and success rates in research funding competitions: case study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337674/
https://www.ncbi.nlm.nih.gov/pubmed/35905079
http://dx.doi.org/10.1371/journal.pone.0272292
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