Strategic impacts on automotive incumbents in the market of autonomous driving

Detalhes bibliográficos
Autor(a) principal: Porzelt, Jessica
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/29722
Resumo: Automation and connectivity within the automotive industry are affecting automotive incumbents (AIs) causing significant shifts towards technology and software. These current trends enable the development of autonomous vehicles (AVs) which will become increasingly prevalent over the next decade. The complex technologies necessary to make autonomous driving (AD) a full reality and which are transforming the automotive industry entail high uncertainties and strategic challenges. The aim of this study is to examine how AD affects AIs’ businesses and strategic choices. Secondary data in the current literature about automation, AD and strategic literature concerning disruptive innovation was reviewed to study the topic. Primary data was gathered through interviews with professionals working in the field of AD. The interview analysis is based on the inductive categorization methodology of Mayring (2015) to provide thorough evaluation of the data. Chiefly, the findings revealed that attempting to seize a first mover advantage is not recommended for AIs in the case of AD. A large challenge is the lack of technological know-how needed to keep up with leading tech-companies in this field. Furthermore, competence in opening up cities and regions for AD should be developed. As disruptive technologies in general and specifically AD lack trust of customers, it is important to develop confidence building strategies. Digital features that are desired by future customers must be determined as well as an attractive business model to compete as an incumbent in the AD market. Overall, the future role of AIs in the AV supply chain is not yet clear.
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spelling Strategic impacts on automotive incumbents in the market of autonomous drivingAutomationAutonomous drivingAutomotive industryAutomotive incumbentDisruptive innovationDisruptive technologyInnovator’s dilemmaStrategic decision-makingStrategic failureStrategic positioningUncertaintyDomínio/Área Científica::Ciências Sociais::Economia e GestãoAutomation and connectivity within the automotive industry are affecting automotive incumbents (AIs) causing significant shifts towards technology and software. These current trends enable the development of autonomous vehicles (AVs) which will become increasingly prevalent over the next decade. The complex technologies necessary to make autonomous driving (AD) a full reality and which are transforming the automotive industry entail high uncertainties and strategic challenges. The aim of this study is to examine how AD affects AIs’ businesses and strategic choices. Secondary data in the current literature about automation, AD and strategic literature concerning disruptive innovation was reviewed to study the topic. Primary data was gathered through interviews with professionals working in the field of AD. The interview analysis is based on the inductive categorization methodology of Mayring (2015) to provide thorough evaluation of the data. Chiefly, the findings revealed that attempting to seize a first mover advantage is not recommended for AIs in the case of AD. A large challenge is the lack of technological know-how needed to keep up with leading tech-companies in this field. Furthermore, competence in opening up cities and regions for AD should be developed. As disruptive technologies in general and specifically AD lack trust of customers, it is important to develop confidence building strategies. Digital features that are desired by future customers must be determined as well as an attractive business model to compete as an incumbent in the AD market. Overall, the future role of AIs in the AV supply chain is not yet clear.Rajsingh, PeterVeritati - Repositório Institucional da Universidade Católica PortuguesaPorzelt, Jessica2020-02-28T09:42:42Z2020-01-2820192020-01-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/29722TID:202439666enginfo: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:RCAAP2023-07-12T17:35:17Zoai:repositorio.ucp.pt:10400.14/29722Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:23:53.670006Repositório 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 Strategic impacts on automotive incumbents in the market of autonomous driving
title Strategic impacts on automotive incumbents in the market of autonomous driving
spellingShingle Strategic impacts on automotive incumbents in the market of autonomous driving
Porzelt, Jessica
Automation
Autonomous driving
Automotive industry
Automotive incumbent
Disruptive innovation
Disruptive technology
Innovator’s dilemma
Strategic decision-making
Strategic failure
Strategic positioning
Uncertainty
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Strategic impacts on automotive incumbents in the market of autonomous driving
title_full Strategic impacts on automotive incumbents in the market of autonomous driving
title_fullStr Strategic impacts on automotive incumbents in the market of autonomous driving
title_full_unstemmed Strategic impacts on automotive incumbents in the market of autonomous driving
title_sort Strategic impacts on automotive incumbents in the market of autonomous driving
author Porzelt, Jessica
author_facet Porzelt, Jessica
author_role author
dc.contributor.none.fl_str_mv Rajsingh, Peter
Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Porzelt, Jessica
dc.subject.por.fl_str_mv Automation
Autonomous driving
Automotive industry
Automotive incumbent
Disruptive innovation
Disruptive technology
Innovator’s dilemma
Strategic decision-making
Strategic failure
Strategic positioning
Uncertainty
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Automation
Autonomous driving
Automotive industry
Automotive incumbent
Disruptive innovation
Disruptive technology
Innovator’s dilemma
Strategic decision-making
Strategic failure
Strategic positioning
Uncertainty
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description Automation and connectivity within the automotive industry are affecting automotive incumbents (AIs) causing significant shifts towards technology and software. These current trends enable the development of autonomous vehicles (AVs) which will become increasingly prevalent over the next decade. The complex technologies necessary to make autonomous driving (AD) a full reality and which are transforming the automotive industry entail high uncertainties and strategic challenges. The aim of this study is to examine how AD affects AIs’ businesses and strategic choices. Secondary data in the current literature about automation, AD and strategic literature concerning disruptive innovation was reviewed to study the topic. Primary data was gathered through interviews with professionals working in the field of AD. The interview analysis is based on the inductive categorization methodology of Mayring (2015) to provide thorough evaluation of the data. Chiefly, the findings revealed that attempting to seize a first mover advantage is not recommended for AIs in the case of AD. A large challenge is the lack of technological know-how needed to keep up with leading tech-companies in this field. Furthermore, competence in opening up cities and regions for AD should be developed. As disruptive technologies in general and specifically AD lack trust of customers, it is important to develop confidence building strategies. Digital features that are desired by future customers must be determined as well as an attractive business model to compete as an incumbent in the AD market. Overall, the future role of AIs in the AV supply chain is not yet clear.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020-02-28T09:42:42Z
2020-01-28
2020-01-28T00:00:00Z
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TID:202439666
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