Key Drivers of Intention to Purchase NFTs

Detalhes bibliográficos
Autor(a) principal: Tork, Mona Zavichi
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/160436
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling Key Drivers of Intention to Purchase NFTsNon-fungible tokenscryptocurrencyAlternative investmentsNFT purchase intentionNFT adoption modelNFT acceptance modelSDG 4 - Quality educationSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructureSDG 12 - Responsible production and consumptionDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThe rapid surge in popularity of Non-Fungible Tokens (NFTs) has sparked curiosity about their capacity to create new market prospects and led to further investigation into this emerging technology. With their potential to bring about a paradigm shift and disrupt traditional business models, NFTs have garnered considerable interest and attention in various industries. This study provides valuable insights into the key drivers that influence individuals' intentions to purchase NFTs. Decision-makers, creators, and investors can benefit from understanding these drivers as they navigate the NFT market. The study seeks to investigate the impact of perceived value, including its components of scarcity, uniqueness, verifiability, and royalty, as well as facilitating conditions, social influence, and individual differences and personality traits, on the intention to purchase NFTs. A proposed model was created by integrating the concepts of the Technology Acceptance Model (TAM) and pertinent NFT literature. This study utilized a survey to collect data from participants and employed the Partial Least Squares-Structural Equation Modeling (PLS/SEM) technique to empirically validate the proposed model. The findings of the study indicated that perceived value, facilitating conditions, social influence, and individual differences and personality traits impact individuals' inclination to purchase NFTs. Perceived scarcity, verifiability, and royalty were found to affect perceived value, whereas perceived uniqueness did not demonstrate a statistically significant relationship. Furthermore, the study suggests that individual differences and personality traits do not moderate the relationship between perceived value and NFT purchase intention. However, individual differences and personality traits directly influence NFT purchase intention.Costa, Maria Manuela Simões Aparício daRUNTork, Mona Zavichi2023-10-252025-10-25T00:00:00Z2023-10-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/160436TID:203391012enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:43:09Zoai:run.unl.pt:10362/160436Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:58:02.890488Repositório 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 Key Drivers of Intention to Purchase NFTs
title Key Drivers of Intention to Purchase NFTs
spellingShingle Key Drivers of Intention to Purchase NFTs
Tork, Mona Zavichi
Non-fungible tokens
cryptocurrency
Alternative investments
NFT purchase intention
NFT adoption model
NFT acceptance model
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 12 - Responsible production and consumption
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Key Drivers of Intention to Purchase NFTs
title_full Key Drivers of Intention to Purchase NFTs
title_fullStr Key Drivers of Intention to Purchase NFTs
title_full_unstemmed Key Drivers of Intention to Purchase NFTs
title_sort Key Drivers of Intention to Purchase NFTs
author Tork, Mona Zavichi
author_facet Tork, Mona Zavichi
author_role author
dc.contributor.none.fl_str_mv Costa, Maria Manuela Simões Aparício da
RUN
dc.contributor.author.fl_str_mv Tork, Mona Zavichi
dc.subject.por.fl_str_mv Non-fungible tokens
cryptocurrency
Alternative investments
NFT purchase intention
NFT adoption model
NFT acceptance model
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 12 - Responsible production and consumption
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Non-fungible tokens
cryptocurrency
Alternative investments
NFT purchase intention
NFT adoption model
NFT acceptance model
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 12 - Responsible production and consumption
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2023
dc.date.none.fl_str_mv 2023-10-25
2023-10-25T00:00:00Z
2025-10-25T00:00:00Z
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/10362/160436
TID:203391012
url http://hdl.handle.net/10362/160436
identifier_str_mv TID:203391012
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
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dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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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