Artificial intelligence & digital ecosystems and their role in shaping the future of automotive aftersales

Bibliographic Details
Main Author: Raudies, Mona
Publication Date: 2024
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.14/47744
Summary: This thesis examines the role of artificial intelligence (AI) and digital ecosystems (DEs) in shaping the future of the automotive aftersales domain. This research addresses a gap in the existing literature, which has predominantly focused on broader digital transformation trends, thereby leaving the specific implications for aftersales services underexplored. By employing a qualitative approach based on 11 semi-structured interviews with experts from the automotive and consulting sectors, the study identifies key use cases for AI and DE integration, including personalized customer experiences, AI-driven customer support chatbots, and predictive maintenance. Additionally, it explores the strategic role of aftersales DEs in enhancing the competitiveness of original equipment manufacturers (OEMs) by improving customer relationships, leveraging external skills and knowledge, and establishing entry barriers. Furthermore, the research identifies significant challenges in the integration process, including the harmonization of technology, data management and regulatory compliance. The study concludes with lessons learned for OEMs, emphasizing the importance of a holistic approach, workforce education and the need to balance technological innovation with humancentric strategies. Overall, the findings contribute both to the academic discourse and provide actionable recommendations for industry practitioners aiming to leverage AI and DEs in the rapidly evolving automotive aftersales sector.
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spelling Artificial intelligence & digital ecosystems and their role in shaping the future of automotive aftersalesInteligência artificial e ecossistemas digitais e o seu papel na definição do futuro da pós-venda automóvelAutomotive industryAftersalesArtificial intelligenceAIDigital ecosystemsOEMCustomer experienceTechnologyIndústria automóvelPós-vendaInteligência artificialIAEcossistemas digitaisExperiência do clienteTecnologiaThis thesis examines the role of artificial intelligence (AI) and digital ecosystems (DEs) in shaping the future of the automotive aftersales domain. This research addresses a gap in the existing literature, which has predominantly focused on broader digital transformation trends, thereby leaving the specific implications for aftersales services underexplored. By employing a qualitative approach based on 11 semi-structured interviews with experts from the automotive and consulting sectors, the study identifies key use cases for AI and DE integration, including personalized customer experiences, AI-driven customer support chatbots, and predictive maintenance. Additionally, it explores the strategic role of aftersales DEs in enhancing the competitiveness of original equipment manufacturers (OEMs) by improving customer relationships, leveraging external skills and knowledge, and establishing entry barriers. Furthermore, the research identifies significant challenges in the integration process, including the harmonization of technology, data management and regulatory compliance. The study concludes with lessons learned for OEMs, emphasizing the importance of a holistic approach, workforce education and the need to balance technological innovation with humancentric strategies. Overall, the findings contribute both to the academic discourse and provide actionable recommendations for industry practitioners aiming to leverage AI and DEs in the rapidly evolving automotive aftersales sector.Lancastre, FilipaVeritatiRaudies, Mona2025-01-10T09:41:55Z2024-10-172024-09-122024-10-17T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/47744urn:tid:203731301enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-13T13:15:11Zoai:repositorio.ucp.pt:10400.14/47744Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T01:55:11.616575Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Artificial intelligence & digital ecosystems and their role in shaping the future of automotive aftersales
Inteligência artificial e ecossistemas digitais e o seu papel na definição do futuro da pós-venda automóvel
title Artificial intelligence & digital ecosystems and their role in shaping the future of automotive aftersales
spellingShingle Artificial intelligence & digital ecosystems and their role in shaping the future of automotive aftersales
Raudies, Mona
Automotive industry
Aftersales
Artificial intelligence
AI
Digital ecosystems
OEM
Customer experience
Technology
Indústria automóvel
Pós-venda
Inteligência artificial
IA
Ecossistemas digitais
Experiência do cliente
Tecnologia
title_short Artificial intelligence & digital ecosystems and their role in shaping the future of automotive aftersales
title_full Artificial intelligence & digital ecosystems and their role in shaping the future of automotive aftersales
title_fullStr Artificial intelligence & digital ecosystems and their role in shaping the future of automotive aftersales
title_full_unstemmed Artificial intelligence & digital ecosystems and their role in shaping the future of automotive aftersales
title_sort Artificial intelligence & digital ecosystems and their role in shaping the future of automotive aftersales
author Raudies, Mona
author_facet Raudies, Mona
author_role author
dc.contributor.none.fl_str_mv Lancastre, Filipa
Veritati
dc.contributor.author.fl_str_mv Raudies, Mona
dc.subject.por.fl_str_mv Automotive industry
Aftersales
Artificial intelligence
AI
Digital ecosystems
OEM
Customer experience
Technology
Indústria automóvel
Pós-venda
Inteligência artificial
IA
Ecossistemas digitais
Experiência do cliente
Tecnologia
topic Automotive industry
Aftersales
Artificial intelligence
AI
Digital ecosystems
OEM
Customer experience
Technology
Indústria automóvel
Pós-venda
Inteligência artificial
IA
Ecossistemas digitais
Experiência do cliente
Tecnologia
description This thesis examines the role of artificial intelligence (AI) and digital ecosystems (DEs) in shaping the future of the automotive aftersales domain. This research addresses a gap in the existing literature, which has predominantly focused on broader digital transformation trends, thereby leaving the specific implications for aftersales services underexplored. By employing a qualitative approach based on 11 semi-structured interviews with experts from the automotive and consulting sectors, the study identifies key use cases for AI and DE integration, including personalized customer experiences, AI-driven customer support chatbots, and predictive maintenance. Additionally, it explores the strategic role of aftersales DEs in enhancing the competitiveness of original equipment manufacturers (OEMs) by improving customer relationships, leveraging external skills and knowledge, and establishing entry barriers. Furthermore, the research identifies significant challenges in the integration process, including the harmonization of technology, data management and regulatory compliance. The study concludes with lessons learned for OEMs, emphasizing the importance of a holistic approach, workforce education and the need to balance technological innovation with humancentric strategies. Overall, the findings contribute both to the academic discourse and provide actionable recommendations for industry practitioners aiming to leverage AI and DEs in the rapidly evolving automotive aftersales sector.
publishDate 2024
dc.date.none.fl_str_mv 2024-10-17
2024-09-12
2024-10-17T00:00:00Z
2025-01-10T09:41:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/47744
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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