Innovation in the automotive industry: can data-driven business models make a change?

Detalhes bibliográficos
Autor(a) principal: Hartwig, Jonas
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/127595
Resumo: This work analyzes current challenges, future innovations, and business models of the automotive industry. Therefore, it analyzes research and conducted expert interviews. Electrification, connectivity, autonomous driving, and COVID-19 were identified as current challenges. Telematics and data exploitation were identified as two fields on which new business models can be based. Telematics increases value by improving the safety, comfort, and efficiency of vehicles, while customers are willing to pay for it. Literature sees even higher potential in data exploitation than experts. Both agree that the industry needs to increase innovativeness to not become a hardware supplier of a digital product.
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spelling Innovation in the automotive industry: can data-driven business models make a change?InnovationBusiness model innovationFuture mobilityAutomotive industryElectric vehiclesAutonomous drivingTelematicsV2xCaseAcesDomínio/Área Científica::Ciências Sociais::Economia e GestãoThis work analyzes current challenges, future innovations, and business models of the automotive industry. Therefore, it analyzes research and conducted expert interviews. Electrification, connectivity, autonomous driving, and COVID-19 were identified as current challenges. Telematics and data exploitation were identified as two fields on which new business models can be based. Telematics increases value by improving the safety, comfort, and efficiency of vehicles, while customers are willing to pay for it. Literature sees even higher potential in data exploitation than experts. Both agree that the industry needs to increase innovativeness to not become a hardware supplier of a digital product.Castro, João Lopes deRUNHartwig, Jonas2023-12-18T01:31:01Z2021-01-132020-12-182021-01-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/127595TID:202741842enginfo: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:RCAAP2024-03-11T05:07:33Zoai:run.unl.pt:10362/127595Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:10.477442Repositório 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 Innovation in the automotive industry: can data-driven business models make a change?
title Innovation in the automotive industry: can data-driven business models make a change?
spellingShingle Innovation in the automotive industry: can data-driven business models make a change?
Hartwig, Jonas
Innovation
Business model innovation
Future mobility
Automotive industry
Electric vehicles
Autonomous driving
Telematics
V2x
Case
Aces
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Innovation in the automotive industry: can data-driven business models make a change?
title_full Innovation in the automotive industry: can data-driven business models make a change?
title_fullStr Innovation in the automotive industry: can data-driven business models make a change?
title_full_unstemmed Innovation in the automotive industry: can data-driven business models make a change?
title_sort Innovation in the automotive industry: can data-driven business models make a change?
author Hartwig, Jonas
author_facet Hartwig, Jonas
author_role author
dc.contributor.none.fl_str_mv Castro, João Lopes de
RUN
dc.contributor.author.fl_str_mv Hartwig, Jonas
dc.subject.por.fl_str_mv Innovation
Business model innovation
Future mobility
Automotive industry
Electric vehicles
Autonomous driving
Telematics
V2x
Case
Aces
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Innovation
Business model innovation
Future mobility
Automotive industry
Electric vehicles
Autonomous driving
Telematics
V2x
Case
Aces
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description This work analyzes current challenges, future innovations, and business models of the automotive industry. Therefore, it analyzes research and conducted expert interviews. Electrification, connectivity, autonomous driving, and COVID-19 were identified as current challenges. Telematics and data exploitation were identified as two fields on which new business models can be based. Telematics increases value by improving the safety, comfort, and efficiency of vehicles, while customers are willing to pay for it. Literature sees even higher potential in data exploitation than experts. Both agree that the industry needs to increase innovativeness to not become a hardware supplier of a digital product.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-18
2021-01-13
2021-01-13T00:00:00Z
2023-12-18T01:31:01Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/127595
TID:202741842
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