DC FieldValueLanguage
dc.contributor.authorPapakyriakopoulos, Dimitrios-
dc.date.accessioned2024-04-19T10:13:10Z-
dc.date.available2024-04-19T10:13:10Z-
dc.date.issued2012-03-01-
dc.identifierscopus-82255192264-
dc.identifier.issn0957-4174-
dc.identifier.other82255192264-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2157-
dc.description.abstractProduct availability is an important component to maintain consumer satisfaction and secure revenue streams for the retailer and the product supplier. Empirical research suggests that products missing from the shelf, also called 'out-of-shelf', is a frequent phenomenon. One of the challenges is to identify products missing from the shelf on a daily base without conducting physical store audit. Through empirical evaluation, this study compares various classification algorithms that can identify 'out-of-shelf' products, which is the minority class of product availability. Due to the class imbalance of product availability, an ensemble learning method is used to increase performance of the base classifiers used. The validation results indicate that it is possible to deliver accurate predictions regarding which products are 'out-of-shelf' for a selected retail store on a daily base. However, the predictions could not identify a significant number of the products missing from the shelf.en_US
dc.language.isoenen_US
dc.relation.ispartofExpert Systems with Applicationsen_US
dc.subjectOut-of-shelfen_US
dc.subjectProduct availabilityen_US
dc.subjectRetailingen_US
dc.subjectStock-outen_US
dc.subjectSupply chain managementen_US
dc.titlePredict on-shelf product availability in grocery retailing with classification methodsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.eswa.2011.09.141en_US
dc.identifier.scopus2-s2.0-82255192264-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume39en_US
dc.relation.issue4en_US
dc.identifier.spage4473en_US
dc.identifier.epage4482en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0001-7033-1890-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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