Sharing economy: exploring social media and bibliometric evidence
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/17628 |
Resumo: | The current structural changes in the world economy have led to the emergence and rapid proliferation of a new economic model whose individuals share assets owned by others. Thus was born the concept of Sharing Economy. This concept has been applied in several sectors with success as it is the case of the transport sector and the real estate sector. However, the Sharing Economy has become a complex phenomenon with several ramifications in different aspects, two of these same slopes are: academic and social. This thesis will focus on a big-time analysis of both strands. On the academic side, supporting a bibliometrics analysis will try to understand what the repercussions of this phenomenon at the level of academic publications, analyzing number of articles per year, authors, publications, terms and key articles. On the social side, relieving Crimson Hexagon's ForSight analysis software will analyze, number of tweets per year, authors and important events on the social network Twitter. This analysis has three main aims: firstly, to understand the phenomenon of Economy Sharing in the two aspects studied, secondly, to perceive the differences existing in the in the two strands studied and finally, using altmetrics discovering what is the difference between social relevant articles and the academic relevant articles of Sharing Economy. |
id |
RCAP_910d6f407b2a0d958304ea249e2b01e6 |
---|---|
oai_identifier_str |
oai:repositorio.iscte-iul.pt:10071/17628 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Sharing economy: exploring social media and bibliometric evidenceSharing economyBibliometricsSocial mediaAltmetricsEconomiaRede socialBibliometriaThe current structural changes in the world economy have led to the emergence and rapid proliferation of a new economic model whose individuals share assets owned by others. Thus was born the concept of Sharing Economy. This concept has been applied in several sectors with success as it is the case of the transport sector and the real estate sector. However, the Sharing Economy has become a complex phenomenon with several ramifications in different aspects, two of these same slopes are: academic and social. This thesis will focus on a big-time analysis of both strands. On the academic side, supporting a bibliometrics analysis will try to understand what the repercussions of this phenomenon at the level of academic publications, analyzing number of articles per year, authors, publications, terms and key articles. On the social side, relieving Crimson Hexagon's ForSight analysis software will analyze, number of tweets per year, authors and important events on the social network Twitter. This analysis has three main aims: firstly, to understand the phenomenon of Economy Sharing in the two aspects studied, secondly, to perceive the differences existing in the in the two strands studied and finally, using altmetrics discovering what is the difference between social relevant articles and the academic relevant articles of Sharing Economy.As atuais alterações estruturais na economia mundial levaram ao aparecimento e rápida proliferação de um novo modelo económico cujos indivíduos partilham ativos detidos por outros. Assim nasceu o conceito de Sharing Economy. Este conceito foi aplicado em diversos setores com sucesso como é o caso do setor dos transportes e do setor imobiliário. Contudo, a Sharing Economy tornou-se um fenómeno complexo com diversas ramificações em diferentes vertentes, duas dessas mesmas vertentes são: a académica e a social. Esta tese centrar-se-á numa análise de big data de ambas as vertentes. Na vertente académica, suportando de uma análise de bibliometria irá tentar perceber qual as repercussões deste fenómeno ao nível de publicações académicas, analisando número de artigos por ano, autores publicações, expressões e artigos chave. Na vertente social, socorrendo software de análise ForSight da Crimson Hexagon irá se preceder uma análise temporal do número de tweets por ano, autores e eventos importantes. Esta análise tem três intuitos principais: em primeiro lugar compreender o fenómeno do Sharing Economy nas duas vertentes estudadas, em segundo lugar, perceber as diferenças existentes nas duas vertentes estudadas e, por fim, e usando altmetrics, descobrir as diferenças entre artigos socialmente relevantes e academicamente relevantes sobre Sharing Economy.2019-03-18T10:10:29Z2018-11-23T00:00:00Z2018-11-232018-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/octet-streamhttp://hdl.handle.net/10071/17628TID:202053350engTomás, Bruno Miguel Pereirainfo: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:RCAAP2023-11-09T17:54:20Zoai:repositorio.iscte-iul.pt:10071/17628Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:27:21.719617Repositório 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 |
Sharing economy: exploring social media and bibliometric evidence |
title |
Sharing economy: exploring social media and bibliometric evidence |
spellingShingle |
Sharing economy: exploring social media and bibliometric evidence Tomás, Bruno Miguel Pereira Sharing economy Bibliometrics Social media Altmetrics Economia Rede social Bibliometria |
title_short |
Sharing economy: exploring social media and bibliometric evidence |
title_full |
Sharing economy: exploring social media and bibliometric evidence |
title_fullStr |
Sharing economy: exploring social media and bibliometric evidence |
title_full_unstemmed |
Sharing economy: exploring social media and bibliometric evidence |
title_sort |
Sharing economy: exploring social media and bibliometric evidence |
author |
Tomás, Bruno Miguel Pereira |
author_facet |
Tomás, Bruno Miguel Pereira |
author_role |
author |
dc.contributor.author.fl_str_mv |
Tomás, Bruno Miguel Pereira |
dc.subject.por.fl_str_mv |
Sharing economy Bibliometrics Social media Altmetrics Economia Rede social Bibliometria |
topic |
Sharing economy Bibliometrics Social media Altmetrics Economia Rede social Bibliometria |
description |
The current structural changes in the world economy have led to the emergence and rapid proliferation of a new economic model whose individuals share assets owned by others. Thus was born the concept of Sharing Economy. This concept has been applied in several sectors with success as it is the case of the transport sector and the real estate sector. However, the Sharing Economy has become a complex phenomenon with several ramifications in different aspects, two of these same slopes are: academic and social. This thesis will focus on a big-time analysis of both strands. On the academic side, supporting a bibliometrics analysis will try to understand what the repercussions of this phenomenon at the level of academic publications, analyzing number of articles per year, authors, publications, terms and key articles. On the social side, relieving Crimson Hexagon's ForSight analysis software will analyze, number of tweets per year, authors and important events on the social network Twitter. This analysis has three main aims: firstly, to understand the phenomenon of Economy Sharing in the two aspects studied, secondly, to perceive the differences existing in the in the two strands studied and finally, using altmetrics discovering what is the difference between social relevant articles and the academic relevant articles of Sharing Economy. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-23T00:00:00Z 2018-11-23 2018-09 2019-03-18T10:10:29Z |
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/10071/17628 TID:202053350 |
url |
http://hdl.handle.net/10071/17628 |
identifier_str_mv |
TID:202053350 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/octet-stream |
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_ |
1799134836914388992 |