Retail system scenario modeling using fuzzy cognitive maps

Detalhes bibliográficos
Autor(a) principal: Petukhova, Alina
Data de Publicação: 2022
Outros Autores: Fachada, Nuno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://www.mdpi.com/2078-2489/13/5/251
http://hdl.handle.net/10437/12867
Resumo: A retail business is a network of similar-format grocery stores with a sole proprietor and a well-established logistical infrastructure. The retail business is a stable market, with low growth, limited customer revenues, and intense competition. On the system level, the retail industry is a dynamic system that is challenging to represent due to uncertainty, nonlinearity, and imprecision. Due to the heterogeneous character of retail systems, direct scenario modeling is arduous. In this article, we propose a framework for retail system scenario planning that allows managers to analyze the effect of different quantitative and qualitative factors using fuzzy cognitive maps. Previously published fuzzy retail models were extended by adding external factors and combining expert knowledge with domain research results. We determined the most suitable composition of fuzzy operators for the retail system, highlighted the system’s most influential concepts, and how the system responds to changes in external factors. The proposed framework aims to support senior management in conducting flexible long-term planning of a company’s strategic development, and reach its desired business goals. Keywords: retail; complex systems; fuzzy cognitive maps; scenario planning
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spelling Retail system scenario modeling using fuzzy cognitive mapsINFORMÁTICAPLANEAMENTOVENDA A RETALHOCOMPUTER SCIENCEPLANNINGRETAIL SALEA retail business is a network of similar-format grocery stores with a sole proprietor and a well-established logistical infrastructure. The retail business is a stable market, with low growth, limited customer revenues, and intense competition. On the system level, the retail industry is a dynamic system that is challenging to represent due to uncertainty, nonlinearity, and imprecision. Due to the heterogeneous character of retail systems, direct scenario modeling is arduous. In this article, we propose a framework for retail system scenario planning that allows managers to analyze the effect of different quantitative and qualitative factors using fuzzy cognitive maps. Previously published fuzzy retail models were extended by adding external factors and combining expert knowledge with domain research results. We determined the most suitable composition of fuzzy operators for the retail system, highlighted the system’s most influential concepts, and how the system responds to changes in external factors. The proposed framework aims to support senior management in conducting flexible long-term planning of a company’s strategic development, and reach its desired business goals. Keywords: retail; complex systems; fuzzy cognitive maps; scenario planningMDPI2022-05-13T14:57:47Z2022-01-01T00:00:00Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://www.mdpi.com/2078-2489/13/5/251http://hdl.handle.net/10437/12867eng2078-2489Petukhova, AlinaFachada, Nunoinfo: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:RCAAP2023-03-09T14:04:19Zoai:recil.ensinolusofona.pt:10437/12867Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:12:20.404258Repositório 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 Retail system scenario modeling using fuzzy cognitive maps
title Retail system scenario modeling using fuzzy cognitive maps
spellingShingle Retail system scenario modeling using fuzzy cognitive maps
Petukhova, Alina
INFORMÁTICA
PLANEAMENTO
VENDA A RETALHO
COMPUTER SCIENCE
PLANNING
RETAIL SALE
title_short Retail system scenario modeling using fuzzy cognitive maps
title_full Retail system scenario modeling using fuzzy cognitive maps
title_fullStr Retail system scenario modeling using fuzzy cognitive maps
title_full_unstemmed Retail system scenario modeling using fuzzy cognitive maps
title_sort Retail system scenario modeling using fuzzy cognitive maps
author Petukhova, Alina
author_facet Petukhova, Alina
Fachada, Nuno
author_role author
author2 Fachada, Nuno
author2_role author
dc.contributor.author.fl_str_mv Petukhova, Alina
Fachada, Nuno
dc.subject.por.fl_str_mv INFORMÁTICA
PLANEAMENTO
VENDA A RETALHO
COMPUTER SCIENCE
PLANNING
RETAIL SALE
topic INFORMÁTICA
PLANEAMENTO
VENDA A RETALHO
COMPUTER SCIENCE
PLANNING
RETAIL SALE
description A retail business is a network of similar-format grocery stores with a sole proprietor and a well-established logistical infrastructure. The retail business is a stable market, with low growth, limited customer revenues, and intense competition. On the system level, the retail industry is a dynamic system that is challenging to represent due to uncertainty, nonlinearity, and imprecision. Due to the heterogeneous character of retail systems, direct scenario modeling is arduous. In this article, we propose a framework for retail system scenario planning that allows managers to analyze the effect of different quantitative and qualitative factors using fuzzy cognitive maps. Previously published fuzzy retail models were extended by adding external factors and combining expert knowledge with domain research results. We determined the most suitable composition of fuzzy operators for the retail system, highlighted the system’s most influential concepts, and how the system responds to changes in external factors. The proposed framework aims to support senior management in conducting flexible long-term planning of a company’s strategic development, and reach its desired business goals. Keywords: retail; complex systems; fuzzy cognitive maps; scenario planning
publishDate 2022
dc.date.none.fl_str_mv 2022-05-13T14:57:47Z
2022-01-01T00:00:00Z
2022
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.mdpi.com/2078-2489/13/5/251
http://hdl.handle.net/10437/12867
url https://www.mdpi.com/2078-2489/13/5/251
http://hdl.handle.net/10437/12867
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2078-2489
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.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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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