Retail system scenario modeling using fuzzy cognitive maps

dc.contributor.authorPetukhova, Alina
dc.contributor.authorFachada, Nuno
dc.contributor.institutionFaculdade de Engenharia
dc.date.issued2022
dc.descriptionInformation (2022), 13
dc.description.abstractA 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 planningen
dc.description.statusNon peer reviewed
dc.formatapplication/pdf
dc.identifier.citationPetukhova , A & Fachada , N 2022 , ' Retail system scenario modeling using fuzzy cognitive maps ' , Information (2022), 13 .
dc.identifier.issn2078-2489
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofInformation (2022), 13
dc.rightsopenAccess
dc.subjectINFORMÁTICA
dc.subjectPLANEAMENTO
dc.subjectVENDA A RETALHO
dc.subjectCOMPUTER SCIENCE
dc.subjectPLANNING
dc.subjectRETAIL SALE
dc.titleRetail system scenario modeling using fuzzy cognitive mapsen

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