Influence factors of individual performance on m-payments: mixed methods approach

Detalhes bibliográficos
Autor(a) principal: Motaco, Sara Patrícia Batalha
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/126521
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
id RCAP_9f15fb5f698fbfe0d5a4310fab5024d0
oai_identifier_str oai:run.unl.pt:10362/126521
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Influence factors of individual performance on m-payments: mixed methods approachM-paymentsTask technology fit (TTF)Mixed-methodsGamificationDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceThis paper investigates which factors influence individual performance. We integrated the task technology fit (TTF) model with the influence of three dimensions: gamification, social influence, and price value. To test individual performance in the Portuguese context, 317 m-payment users completed a survey, and their responses were analysed using the SEM-PLS model. During the study, the COVID-19 pandemic broke out, and because of that was necessary to adopt a mixed methods approach, conducting interviews to triangulate the results obtained previously and to analyse the impact of the pandemic on users' individual performance. The results show that individual performance is explained by TTF and usage, with a moderating influence from the constructs under study. The final conclusions of the project are intended to help in the creation of strategies for m-payment service providers, allowing them to optimize the user experience.Tam Chuem Vai, CarlosRUNMotaco, Sara Patrícia Batalha2021-10-132024-10-13T00:00:00Z2021-10-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/126521TID:202777090enginfo: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:RCAAP2024-03-11T05:06:59Zoai:run.unl.pt:10362/126521Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:55.563024Repositório 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 Influence factors of individual performance on m-payments: mixed methods approach
title Influence factors of individual performance on m-payments: mixed methods approach
spellingShingle Influence factors of individual performance on m-payments: mixed methods approach
Motaco, Sara Patrícia Batalha
M-payments
Task technology fit (TTF)
Mixed-methods
Gamification
title_short Influence factors of individual performance on m-payments: mixed methods approach
title_full Influence factors of individual performance on m-payments: mixed methods approach
title_fullStr Influence factors of individual performance on m-payments: mixed methods approach
title_full_unstemmed Influence factors of individual performance on m-payments: mixed methods approach
title_sort Influence factors of individual performance on m-payments: mixed methods approach
author Motaco, Sara Patrícia Batalha
author_facet Motaco, Sara Patrícia Batalha
author_role author
dc.contributor.none.fl_str_mv Tam Chuem Vai, Carlos
RUN
dc.contributor.author.fl_str_mv Motaco, Sara Patrícia Batalha
dc.subject.por.fl_str_mv M-payments
Task technology fit (TTF)
Mixed-methods
Gamification
topic M-payments
Task technology fit (TTF)
Mixed-methods
Gamification
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
publishDate 2021
dc.date.none.fl_str_mv 2021-10-13
2021-10-13T00:00:00Z
2024-10-13T00:00:00Z
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/10362/126521
TID:202777090
url http://hdl.handle.net/10362/126521
identifier_str_mv TID:202777090
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
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
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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
repository.mail.fl_str_mv
_version_ 1799138063715139584

Registros relacionados