Pricing network analysis of a supermarket chain in Portugal

Detalhes bibliográficos
Autor(a) principal: Silva, Ana Catarina Lopes da
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/10362/133847
Resumo: Project Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
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spelling Pricing network analysis of a supermarket chain in PortugalPricing NetworkPrice CorrelationsMaximum Spanning TreeComplex NetworksProject Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementWith the growth of digital transformation, the business is now conducted in the digital age, opening new markets and new business opportunities with a simple click, sitting at home. Along with it, as the internet grows, more data is exposed, which leads us to competitive advantages, especially during the pandemic and in the post-pandemic period. This work explores daily price data from the online website of one of the largest supermarket chains in Portugal, covering the period between February 2020 to March of 2021. To observe the market and the competition behavior, we applied the science of networks, a data mining technique that provides deeper insight into the structure of the retailer market. We used the Maximum Spanning Tree and added the most relevant links from the correlation matrix to represent the retail market. As a starting point, we were able to build five networks that represent the daily price changes for products, categories, and brands. Moreover, we study the network interactions using centrality measures, namely: degree, betweenness, closeness, and eigenvector. These outputs were useful by creating better visibility of the market using real data from online retailing platforms and making available the first input for future work and further research to improve the pricing strategies.Pinheiro, Flávio Luís PortasRUNSilva, Ana Catarina Lopes da2022-03-03T17:51:10Z2022-01-312022-01-31T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/133847TID:202952070enginfo: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:RCAAP2024-03-11T05:12:27Zoai:run.unl.pt:10362/133847Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:47:57.239677Repositório 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 Pricing network analysis of a supermarket chain in Portugal
title Pricing network analysis of a supermarket chain in Portugal
spellingShingle Pricing network analysis of a supermarket chain in Portugal
Silva, Ana Catarina Lopes da
Pricing Network
Price Correlations
Maximum Spanning Tree
Complex Networks
title_short Pricing network analysis of a supermarket chain in Portugal
title_full Pricing network analysis of a supermarket chain in Portugal
title_fullStr Pricing network analysis of a supermarket chain in Portugal
title_full_unstemmed Pricing network analysis of a supermarket chain in Portugal
title_sort Pricing network analysis of a supermarket chain in Portugal
author Silva, Ana Catarina Lopes da
author_facet Silva, Ana Catarina Lopes da
author_role author
dc.contributor.none.fl_str_mv Pinheiro, Flávio Luís Portas
RUN
dc.contributor.author.fl_str_mv Silva, Ana Catarina Lopes da
dc.subject.por.fl_str_mv Pricing Network
Price Correlations
Maximum Spanning Tree
Complex Networks
topic Pricing Network
Price Correlations
Maximum Spanning Tree
Complex Networks
description Project Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
publishDate 2022
dc.date.none.fl_str_mv 2022-03-03T17:51:10Z
2022-01-31
2022-01-31T00:00:00Z
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/10362/133847
TID:202952070
url http://hdl.handle.net/10362/133847
identifier_str_mv TID:202952070
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
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
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