The impact of blockchain on the aviation industry : results from a qualitative analysis

Detalhes bibliográficos
Autor(a) principal: Lopes, Daniel Pinto
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/10362/100953
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
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spelling The impact of blockchain on the aviation industry : results from a qualitative analysisBlockchainDistributed ledger technologyAviation industryAirlinesWord cloudText miningDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceThe aviation industry, well-known for its conservative mindset, is in search of innovative solutions to boost its business. This paper seeks to identify how blockchain, a particular emerging and versatile technology, can impact the aviation industry. Eighteen industry experts contributed to the research and interviews were conducted via phone or on a text basis. The paper analyses the data gathered using a visualizing networks approach through which four central clusters were identified concerning blockchain for the aviation industry. The connection between the terms is presented graphically, and the clusters are discussed individually. Attitude and ideas of the aviation industry towards blockchain are summarised and propositions for future academic research are put forward.Rita, Paulo Miguel Rasquinho FerreiraTreiblmaier, HorstRUNLopes, Daniel Pinto2023-05-21T00:30:39Z2020-05-212020-05-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/100953TID:202501159enginfo: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:RCAAP2024-03-11T04:47:17Zoai:run.unl.pt:10362/100953Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:39:28.095158Repositório 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 The impact of blockchain on the aviation industry : results from a qualitative analysis
title The impact of blockchain on the aviation industry : results from a qualitative analysis
spellingShingle The impact of blockchain on the aviation industry : results from a qualitative analysis
Lopes, Daniel Pinto
Blockchain
Distributed ledger technology
Aviation industry
Airlines
Word cloud
Text mining
title_short The impact of blockchain on the aviation industry : results from a qualitative analysis
title_full The impact of blockchain on the aviation industry : results from a qualitative analysis
title_fullStr The impact of blockchain on the aviation industry : results from a qualitative analysis
title_full_unstemmed The impact of blockchain on the aviation industry : results from a qualitative analysis
title_sort The impact of blockchain on the aviation industry : results from a qualitative analysis
author Lopes, Daniel Pinto
author_facet Lopes, Daniel Pinto
author_role author
dc.contributor.none.fl_str_mv Rita, Paulo Miguel Rasquinho Ferreira
Treiblmaier, Horst
RUN
dc.contributor.author.fl_str_mv Lopes, Daniel Pinto
dc.subject.por.fl_str_mv Blockchain
Distributed ledger technology
Aviation industry
Airlines
Word cloud
Text mining
topic Blockchain
Distributed ledger technology
Aviation industry
Airlines
Word cloud
Text mining
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
publishDate 2020
dc.date.none.fl_str_mv 2020-05-21
2020-05-21T00:00:00Z
2023-05-21T00:30:39Z
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/10362/100953
TID:202501159
url http://hdl.handle.net/10362/100953
identifier_str_mv TID:202501159
dc.language.iso.fl_str_mv eng
language eng
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