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

Bibliographic Details
Main Author: Motaco, Sara Patrícia Batalha
Publication Date: 2021
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/126521
Summary: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
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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 Batalha2024-10-13T00:30:54Z2021-10-132021-10-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/126521TID:202777090enginfo: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:RCAAP2024-10-14T01:37:42Zoai:run.unl.pt:10362/126521Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:27:51.769556Repositórios 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 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
2024-10-13T00:30:54Z
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
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dc.language.iso.fl_str_mv eng
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