Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?

Autores
Fernández Franco, Sebastián; Graña, Juan Martin; Flacher, David; Rikap, Cecilia Alejandra
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper examines the innovation strategy of Siemens, a key player in Europe’s digital economy, by performing network and lexical analyses using data derived from Siemens’s patents and scientific publications since 1998. We observe that the company’s innovation efforts evolved from a broader attempt to develop internal information and communication technology (ICT) capabilities – alongside its historical industrial priorities – to a strategy focused on developing artificial intelligence (AI) for sector-specific and niche applications (such as life and medical sciences). As a result, it became dependent on tech giants’ clouds for accessing more general AI services and digital infrastructure. We build on the intellectual monopoly literature focusing on the effects of tech giants on other leading corporations, to analyse Siemens’s experience. By abandoning the development of general ICT and given the emergence of tech giants as digital economy intellectual monopolies, we show that Siemens is risking its technological autonomy towards these big tech companies. Our results provide clues to understand the challenges faced by Europe and its firms in relation to US and Chinese tech giants.
Fil: Fernández Franco, Sebastián. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto de Investigaciones Económicas. Centro de Estudios sobre Población, Empleo y Desarrollo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Graña, Juan Martin. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto de Investigaciones Económicas. Centro de Estudios sobre Población, Empleo y Desarrollo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Flacher, David. Universite de Technologie de Compiègne; Francia
Fil: Rikap, Cecilia Alejandra. Universite de Technologie de Compiegne; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
BIG TECH
CLOUD COMPUTING
DIGITAL ECONOMY
NETWORK ANALYSIS
SCIENCE AND TECHNOLOGY STRATEGY
SIEMENS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/223623
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?Fernández Franco, SebastiánGraña, Juan MartinFlacher, DavidRikap, Cecilia AlejandraBIG TECHCLOUD COMPUTINGDIGITAL ECONOMYNETWORK ANALYSISSCIENCE AND TECHNOLOGY STRATEGYSIEMENShttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5This paper examines the innovation strategy of Siemens, a key player in Europe’s digital economy, by performing network and lexical analyses using data derived from Siemens’s patents and scientific publications since 1998. We observe that the company’s innovation efforts evolved from a broader attempt to develop internal information and communication technology (ICT) capabilities – alongside its historical industrial priorities – to a strategy focused on developing artificial intelligence (AI) for sector-specific and niche applications (such as life and medical sciences). As a result, it became dependent on tech giants’ clouds for accessing more general AI services and digital infrastructure. We build on the intellectual monopoly literature focusing on the effects of tech giants on other leading corporations, to analyse Siemens’s experience. By abandoning the development of general ICT and given the emergence of tech giants as digital economy intellectual monopolies, we show that Siemens is risking its technological autonomy towards these big tech companies. Our results provide clues to understand the challenges faced by Europe and its firms in relation to US and Chinese tech giants.Fil: Fernández Franco, Sebastián. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto de Investigaciones Económicas. Centro de Estudios sobre Población, Empleo y Desarrollo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Graña, Juan Martin. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto de Investigaciones Económicas. Centro de Estudios sobre Población, Empleo y Desarrollo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Flacher, David. Universite de Technologie de Compiègne; FranciaFil: Rikap, Cecilia Alejandra. Universite de Technologie de Compiegne; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaSAGE Publications2022-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/223623Fernández Franco, Sebastián; Graña, Juan Martin; Flacher, David; Rikap, Cecilia Alejandra; Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?; SAGE Publications; Competition and Change; 27; 2; 6-2022; 302-3311024-52941477-2221CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1177/10245294221097066info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:30:47Zoai:ri.conicet.gov.ar:11336/223623instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:30:48.24CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?
title Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?
spellingShingle Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?
Fernández Franco, Sebastián
BIG TECH
CLOUD COMPUTING
DIGITAL ECONOMY
NETWORK ANALYSIS
SCIENCE AND TECHNOLOGY STRATEGY
SIEMENS
title_short Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?
title_full Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?
title_fullStr Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?
title_full_unstemmed Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?
title_sort Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?
dc.creator.none.fl_str_mv Fernández Franco, Sebastián
Graña, Juan Martin
Flacher, David
Rikap, Cecilia Alejandra
author Fernández Franco, Sebastián
author_facet Fernández Franco, Sebastián
Graña, Juan Martin
Flacher, David
Rikap, Cecilia Alejandra
author_role author
author2 Graña, Juan Martin
Flacher, David
Rikap, Cecilia Alejandra
author2_role author
author
author
dc.subject.none.fl_str_mv BIG TECH
CLOUD COMPUTING
DIGITAL ECONOMY
NETWORK ANALYSIS
SCIENCE AND TECHNOLOGY STRATEGY
SIEMENS
topic BIG TECH
CLOUD COMPUTING
DIGITAL ECONOMY
NETWORK ANALYSIS
SCIENCE AND TECHNOLOGY STRATEGY
SIEMENS
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv This paper examines the innovation strategy of Siemens, a key player in Europe’s digital economy, by performing network and lexical analyses using data derived from Siemens’s patents and scientific publications since 1998. We observe that the company’s innovation efforts evolved from a broader attempt to develop internal information and communication technology (ICT) capabilities – alongside its historical industrial priorities – to a strategy focused on developing artificial intelligence (AI) for sector-specific and niche applications (such as life and medical sciences). As a result, it became dependent on tech giants’ clouds for accessing more general AI services and digital infrastructure. We build on the intellectual monopoly literature focusing on the effects of tech giants on other leading corporations, to analyse Siemens’s experience. By abandoning the development of general ICT and given the emergence of tech giants as digital economy intellectual monopolies, we show that Siemens is risking its technological autonomy towards these big tech companies. Our results provide clues to understand the challenges faced by Europe and its firms in relation to US and Chinese tech giants.
Fil: Fernández Franco, Sebastián. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto de Investigaciones Económicas. Centro de Estudios sobre Población, Empleo y Desarrollo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Graña, Juan Martin. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto de Investigaciones Económicas. Centro de Estudios sobre Población, Empleo y Desarrollo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Flacher, David. Universite de Technologie de Compiègne; Francia
Fil: Rikap, Cecilia Alejandra. Universite de Technologie de Compiegne; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description This paper examines the innovation strategy of Siemens, a key player in Europe’s digital economy, by performing network and lexical analyses using data derived from Siemens’s patents and scientific publications since 1998. We observe that the company’s innovation efforts evolved from a broader attempt to develop internal information and communication technology (ICT) capabilities – alongside its historical industrial priorities – to a strategy focused on developing artificial intelligence (AI) for sector-specific and niche applications (such as life and medical sciences). As a result, it became dependent on tech giants’ clouds for accessing more general AI services and digital infrastructure. We build on the intellectual monopoly literature focusing on the effects of tech giants on other leading corporations, to analyse Siemens’s experience. By abandoning the development of general ICT and given the emergence of tech giants as digital economy intellectual monopolies, we show that Siemens is risking its technological autonomy towards these big tech companies. Our results provide clues to understand the challenges faced by Europe and its firms in relation to US and Chinese tech giants.
publishDate 2022
dc.date.none.fl_str_mv 2022-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/223623
Fernández Franco, Sebastián; Graña, Juan Martin; Flacher, David; Rikap, Cecilia Alejandra; Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?; SAGE Publications; Competition and Change; 27; 2; 6-2022; 302-331
1024-5294
1477-2221
CONICET Digital
CONICET
url http://hdl.handle.net/11336/223623
identifier_str_mv Fernández Franco, Sebastián; Graña, Juan Martin; Flacher, David; Rikap, Cecilia Alejandra; Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?; SAGE Publications; Competition and Change; 27; 2; 6-2022; 302-331
1024-5294
1477-2221
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1177/10245294221097066
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv SAGE Publications
publisher.none.fl_str_mv SAGE Publications
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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