Discover Tthe role and impact of artificial intelligence technology in customer journey from pre-purchase to post-purchase

Detalhes bibliográficos
Autor(a) principal: Wang, Manjun
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/162515
Resumo: Artificial Intelligence (AI) is widely employed in engaging customers while improving customer experience by offering ease and flexibility, and providing personalized settings. AI can carry out cognitive functions until recently, only possible for humans, and it does that by learning from data. This work project is an empirical investigation of how AI technologies influence customers' purchase behavior by discovering their role at different customer journey stages. Insights into different strategies and guidelines for companies targeting divergent customer segments with different attitudes towards AI are further provided.
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spelling Discover Tthe role and impact of artificial intelligence technology in customer journey from pre-purchase to post-purchaseMarketingDigital innovationArtificial intelligenceCustomer journeyOnline customer experienceMarketing analyticsDomínio/Área Científica::Ciências Sociais::Economia e GestãoArtificial Intelligence (AI) is widely employed in engaging customers while improving customer experience by offering ease and flexibility, and providing personalized settings. AI can carry out cognitive functions until recently, only possible for humans, and it does that by learning from data. This work project is an empirical investigation of how AI technologies influence customers' purchase behavior by discovering their role at different customer journey stages. Insights into different strategies and guidelines for companies targeting divergent customer segments with different attitudes towards AI are further provided.Zejnilovic, LeidRUNWang, Manjun2024-01-19T11:23:25Z2023-01-202022-09-122023-01-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/162515TID:203363248enginfo: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:RCAAP2024-03-11T05:45:28Zoai:run.unl.pt:10362/162515Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:58:57.211692Repositório 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 Discover Tthe role and impact of artificial intelligence technology in customer journey from pre-purchase to post-purchase
title Discover Tthe role and impact of artificial intelligence technology in customer journey from pre-purchase to post-purchase
spellingShingle Discover Tthe role and impact of artificial intelligence technology in customer journey from pre-purchase to post-purchase
Wang, Manjun
Marketing
Digital innovation
Artificial intelligence
Customer journey
Online customer experience
Marketing analytics
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Discover Tthe role and impact of artificial intelligence technology in customer journey from pre-purchase to post-purchase
title_full Discover Tthe role and impact of artificial intelligence technology in customer journey from pre-purchase to post-purchase
title_fullStr Discover Tthe role and impact of artificial intelligence technology in customer journey from pre-purchase to post-purchase
title_full_unstemmed Discover Tthe role and impact of artificial intelligence technology in customer journey from pre-purchase to post-purchase
title_sort Discover Tthe role and impact of artificial intelligence technology in customer journey from pre-purchase to post-purchase
author Wang, Manjun
author_facet Wang, Manjun
author_role author
dc.contributor.none.fl_str_mv Zejnilovic, Leid
RUN
dc.contributor.author.fl_str_mv Wang, Manjun
dc.subject.por.fl_str_mv Marketing
Digital innovation
Artificial intelligence
Customer journey
Online customer experience
Marketing analytics
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Marketing
Digital innovation
Artificial intelligence
Customer journey
Online customer experience
Marketing analytics
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description Artificial Intelligence (AI) is widely employed in engaging customers while improving customer experience by offering ease and flexibility, and providing personalized settings. AI can carry out cognitive functions until recently, only possible for humans, and it does that by learning from data. This work project is an empirical investigation of how AI technologies influence customers' purchase behavior by discovering their role at different customer journey stages. Insights into different strategies and guidelines for companies targeting divergent customer segments with different attitudes towards AI are further provided.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-12
2023-01-20
2023-01-20T00:00:00Z
2024-01-19T11:23:25Z
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/10362/162515
TID:203363248
url http://hdl.handle.net/10362/162515
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dc.language.iso.fl_str_mv eng
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instacron:RCAAP
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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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