Under thirty on LinkedIn: an examination of outcomes and use

Detalhes bibliográficos
Autor(a) principal: Sanches, Mafalda Pato Nogueira
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/10362/133074
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 Under thirty on LinkedIn: an examination of outcomes and useLinkedInDelone & Mclean modelTask-Technology Fit modelOutcomeContinuance IntentionDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceThis study intended to understand whether young adults under 30 perceived the outcome of LinkedIn use as beneficial and whether it impacted their continuance intention to use the platform. The Delone & McLean Information System Model and the Task-Technology Fit Model were combined to understand the connection between the task of looking for a job and using LinkedIn to do so and whether that choice and subsequent use will impact the net benefits one will gain with said usage and their continuance intent to keep using the platform. An online survey was done on 255 respondents. The results reveal that users perceive LinkedIn as an optimal platform for the intended job-related task, and its outcome positively affects continuance intention to use.Jesus, Frederico Miguel Campos Cruz Ribeiro deRUNSanches, Mafalda Pato Nogueira2022-01-192025-01-19T00:00:00Z2022-01-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/133074TID:202948200enginfo: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:RCAAP2024-03-11T05:11:45Zoai:run.unl.pt:10362/133074Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:47:41.833480Repositório 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 Under thirty on LinkedIn: an examination of outcomes and use
title Under thirty on LinkedIn: an examination of outcomes and use
spellingShingle Under thirty on LinkedIn: an examination of outcomes and use
Sanches, Mafalda Pato Nogueira
LinkedIn
Delone & Mclean model
Task-Technology Fit model
Outcome
Continuance Intention
title_short Under thirty on LinkedIn: an examination of outcomes and use
title_full Under thirty on LinkedIn: an examination of outcomes and use
title_fullStr Under thirty on LinkedIn: an examination of outcomes and use
title_full_unstemmed Under thirty on LinkedIn: an examination of outcomes and use
title_sort Under thirty on LinkedIn: an examination of outcomes and use
author Sanches, Mafalda Pato Nogueira
author_facet Sanches, Mafalda Pato Nogueira
author_role author
dc.contributor.none.fl_str_mv Jesus, Frederico Miguel Campos Cruz Ribeiro de
RUN
dc.contributor.author.fl_str_mv Sanches, Mafalda Pato Nogueira
dc.subject.por.fl_str_mv LinkedIn
Delone & Mclean model
Task-Technology Fit model
Outcome
Continuance Intention
topic LinkedIn
Delone & Mclean model
Task-Technology Fit model
Outcome
Continuance Intention
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
publishDate 2022
dc.date.none.fl_str_mv 2022-01-19
2022-01-19T00:00:00Z
2025-01-19T00:00:00Z
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/10362/133074
TID:202948200
url http://hdl.handle.net/10362/133074
identifier_str_mv TID:202948200
dc.language.iso.fl_str_mv eng
language eng
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