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dc.contributor.author
Fernández Franco, Sebastián
dc.contributor.author
Graña, Juan Martin
dc.contributor.author
Flacher, David
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Rikap, Cecilia Alejandra
dc.date.available
2024-01-15T15:54:02Z
dc.date.issued
2022-06
dc.identifier.citation
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
dc.identifier.issn
1024-5294
dc.identifier.uri
http://hdl.handle.net/11336/223623
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
SAGE Publications
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.subject
BIG TECH
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CLOUD COMPUTING
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DIGITAL ECONOMY
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NETWORK ANALYSIS
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SCIENCE AND TECHNOLOGY STRATEGY
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SIEMENS
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Organización Industrial
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Economía y Negocios
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CIENCIAS SOCIALES
dc.title
Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-01-15T15:03:26Z
dc.identifier.eissn
1477-2221
dc.journal.volume
27
dc.journal.number
2
dc.journal.pagination
302-331
dc.journal.pais
Reino Unido
dc.description.fil
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
dc.description.fil
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
dc.description.fil
Fil: Flacher, David. Universite de Technologie de Compiègne; Francia
dc.description.fil
Fil: Rikap, Cecilia Alejandra. Universite de Technologie de Compiegne; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Competition and Change
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1177/10245294221097066
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