Big science, learning, and innovation: evidence from CERN procurement

We study the way in which public procurement by big research infrastructures enhances suppliers’ performance. Using survey data on 669 CERN’s suppliers, we built a unique data set to analyze, through an ordered logit model and Bayesian networks, the determinants of suppliers’ sales, profits, and dev...

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Detalles Bibliográficos
Autores principales: Florio, Massimo, Giffoni, Francesco, Giunta, Anna, Sirtori, Emanuela
Lenguaje:eng
Publicado: 2018
Materias:
Other
Acceso en línea:https://dx.doi.org/10.1093/icc/dty029
http://cds.cern.ch/record/2648705
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author Florio, Massimo
Giffoni, Francesco
Giunta, Anna
Sirtori, Emanuela
author_facet Florio, Massimo
Giffoni, Francesco
Giunta, Anna
Sirtori, Emanuela
author_sort Florio, Massimo
collection CERN
description We study the way in which public procurement by big research infrastructures enhances suppliers’ performance. Using survey data on 669 CERN’s suppliers, we built a unique data set to analyze, through an ordered logit model and Bayesian networks, the determinants of suppliers’ sales, profits, and development activities. We find that collaborative relations between CERN and its suppliers improve suppliers’ performance and increase positive spillovers along the supply chain. This suggests that public procurement as a mission-oriented innovation policy should promote cooperative relations and not only market mechanisms.
id oai-inspirehep.net-1704589
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
record_format invenio
spelling oai-inspirehep.net-17045892019-09-30T06:29:59Zdoi:10.1093/icc/dty029http://cds.cern.ch/record/2648705engFlorio, MassimoGiffoni, FrancescoGiunta, AnnaSirtori, EmanuelaBig science, learning, and innovation: evidence from CERN procurementOtherWe study the way in which public procurement by big research infrastructures enhances suppliers’ performance. Using survey data on 669 CERN’s suppliers, we built a unique data set to analyze, through an ordered logit model and Bayesian networks, the determinants of suppliers’ sales, profits, and development activities. We find that collaborative relations between CERN and its suppliers improve suppliers’ performance and increase positive spillovers along the supply chain. This suggests that public procurement as a mission-oriented innovation policy should promote cooperative relations and not only market mechanisms.oai:inspirehep.net:17045892018
spellingShingle Other
Florio, Massimo
Giffoni, Francesco
Giunta, Anna
Sirtori, Emanuela
Big science, learning, and innovation: evidence from CERN procurement
title Big science, learning, and innovation: evidence from CERN procurement
title_full Big science, learning, and innovation: evidence from CERN procurement
title_fullStr Big science, learning, and innovation: evidence from CERN procurement
title_full_unstemmed Big science, learning, and innovation: evidence from CERN procurement
title_short Big science, learning, and innovation: evidence from CERN procurement
title_sort big science, learning, and innovation: evidence from cern procurement
topic Other
url https://dx.doi.org/10.1093/icc/dty029
http://cds.cern.ch/record/2648705
work_keys_str_mv AT floriomassimo bigsciencelearningandinnovationevidencefromcernprocurement
AT giffonifrancesco bigsciencelearningandinnovationevidencefromcernprocurement
AT giuntaanna bigsciencelearningandinnovationevidencefromcernprocurement
AT sirtoriemanuela bigsciencelearningandinnovationevidencefromcernprocurement

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