Artificial intelligence in German SMES - barriers and challenges to Ai adoption in the German Mittelstand
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/138589 |
Resumo: | Artificial intelligence (AI) is a crucialtechnology for the digital age, and therefore nations like Germany strive to become global AI leaders. As the backbone of Germany’s economy, this study focuses on small and medium-sized enterprises (SMEs) and their AI adoption level. Based on a convergent research design following the TOE framework, perceived barriers and challenges to AI adoption are examined. Results show that the majority of respondents plan to implement AI with in the next two years. However, the current adoption rate is only at 10.5%, primarily due to a lack of digitalization, human and IT resources as main barriers. |
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Artificial intelligence in German SMES - barriers and challenges to Ai adoption in the German MittelstandTechnology adoptionDigital transformationSmesTechnology strategyArtificial intelligenceAi barriersToe frameworkDomínio/Área Científica::Ciências Sociais::Economia e GestãoArtificial intelligence (AI) is a crucialtechnology for the digital age, and therefore nations like Germany strive to become global AI leaders. As the backbone of Germany’s economy, this study focuses on small and medium-sized enterprises (SMEs) and their AI adoption level. Based on a convergent research design following the TOE framework, perceived barriers and challenges to AI adoption are examined. Results show that the majority of respondents plan to implement AI with in the next two years. However, the current adoption rate is only at 10.5%, primarily due to a lack of digitalization, human and IT resources as main barriers.Castro, João Nuno Lopes deRUNHopf, Valerie2022-05-25T07:15:01Z2022-01-132021-12-172022-01-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/138589TID:202974910enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:15:52Zoai:run.unl.pt:10362/138589Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:49:08.077782Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Artificial intelligence in German SMES - barriers and challenges to Ai adoption in the German Mittelstand |
title |
Artificial intelligence in German SMES - barriers and challenges to Ai adoption in the German Mittelstand |
spellingShingle |
Artificial intelligence in German SMES - barriers and challenges to Ai adoption in the German Mittelstand Hopf, Valerie Technology adoption Digital transformation Smes Technology strategy Artificial intelligence Ai barriers Toe framework Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Artificial intelligence in German SMES - barriers and challenges to Ai adoption in the German Mittelstand |
title_full |
Artificial intelligence in German SMES - barriers and challenges to Ai adoption in the German Mittelstand |
title_fullStr |
Artificial intelligence in German SMES - barriers and challenges to Ai adoption in the German Mittelstand |
title_full_unstemmed |
Artificial intelligence in German SMES - barriers and challenges to Ai adoption in the German Mittelstand |
title_sort |
Artificial intelligence in German SMES - barriers and challenges to Ai adoption in the German Mittelstand |
author |
Hopf, Valerie |
author_facet |
Hopf, Valerie |
author_role |
author |
dc.contributor.none.fl_str_mv |
Castro, João Nuno Lopes de RUN |
dc.contributor.author.fl_str_mv |
Hopf, Valerie |
dc.subject.por.fl_str_mv |
Technology adoption Digital transformation Smes Technology strategy Artificial intelligence Ai barriers Toe framework Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Technology adoption Digital transformation Smes Technology strategy Artificial intelligence Ai barriers Toe framework Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
Artificial intelligence (AI) is a crucialtechnology for the digital age, and therefore nations like Germany strive to become global AI leaders. As the backbone of Germany’s economy, this study focuses on small and medium-sized enterprises (SMEs) and their AI adoption level. Based on a convergent research design following the TOE framework, perceived barriers and challenges to AI adoption are examined. Results show that the majority of respondents plan to implement AI with in the next two years. However, the current adoption rate is only at 10.5%, primarily due to a lack of digitalization, human and IT resources as main barriers. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-17 2022-05-25T07:15:01Z 2022-01-13 2022-01-13T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/138589 TID:202974910 |
url |
http://hdl.handle.net/10362/138589 |
identifier_str_mv |
TID:202974910 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138090976018432 |