{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1362825894599076096.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1509/jmkr.39.4.421.19114"}},{"identifier":{"@type":"URI","@value":"https://journals.sagepub.com/doi/pdf/10.1509/jmkr.39.4.421.19114"}},{"identifier":{"@type":"URI","@value":"https://journals.sagepub.com/doi/full-xml/10.1509/jmkr.39.4.421.19114"}}],"dc:title":[{"@value":"The Long-Term Effects of Price Promotions on Category Incidence, Brand Choice, and Purchase Quantity"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p> To what extent do price promotions have a long-term effect on the components of brand sales, namely, category incidence, brand choice, and purchase quantity? The authors answer this question by using persistence modeling on weekly sales data of a perishable and a storable product derived from a scanner panel. Their analysis reveals, first, that permanent promotion effects are virtually absent for each sales component. Next, the authors develop and apply an impulse response approach to estimate the promotional adjustment period and the total dynamic effects of a price promotion. Specifically, they calculate the long-term equivalent of Gupta's (1988) 14/84/2 breakdown of promotional effects. Because of positive adjustment effects for incidence but negative adjustment effects for choice, the authors find a reversal of the importance of category incidence and brand choice: 66/11/23 for the storable product and 58/39/3 for the perishable product. The authors discuss the implications of the findings and suggest some areas for further research. </jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1382825894599076225","@type":"Researcher","foaf:name":[{"@value":"Koen Pauwels"}],"jpcoar:affiliationName":[{"@value":"Assistant Professor of Business Administration, Tuck School of Business at Dartmouth"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825894599076224","@type":"Researcher","foaf:name":[{"@value":"Dominique M. Hanssens"}],"jpcoar:affiliationName":[{"@value":"Bud Knapp Professor of Management, Anderson Graduate School of Management, University of California, Los Angeles"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825894599076096","@type":"Researcher","foaf:name":[{"@value":"S. Siddarth"}],"jpcoar:affiliationName":[{"@value":"Associate Professor of Marketing, Marshall School of Business, University of Southern California"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"00222437"},{"@type":"EISSN","@value":"15477193"}],"prism:publicationName":[{"@value":"Journal of Marketing Research"}],"dc:publisher":[{"@value":"SAGE Publications"}],"prism:publicationDate":"2002-11","prism:volume":"39","prism:number":"4","prism:startingPage":"421","prism:endingPage":"439"},"reviewed":"false","dc:rights":["https://journals.sagepub.com/page/policies/text-and-data-mining-license"],"url":[{"@id":"https://journals.sagepub.com/doi/pdf/10.1509/jmkr.39.4.421.19114"},{"@id":"https://journals.sagepub.com/doi/full-xml/10.1509/jmkr.39.4.421.19114"}],"createdAt":"2003-11-24","modifiedAt":"2025-03-10","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360290617612698240","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Behavioral changes of multichannel customers: Their persistence and influencing factors"}]},{"@id":"https://cir.nii.ac.jp/crid/1360572092871813504","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Duration of price promotion and product profit: An in-depth study based on point-of-sale data"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1509/jmkr.39.4.421.19114"},{"@type":"CROSSREF","@value":"10.1016/j.jretconser.2020.102335_references_DOI_ZyRdvXMatb7umQSGrXAoh17lHE0"},{"@type":"CROSSREF","@value":"10.1016/j.jretconser.2020.102277_references_DOI_ZyRdvXMatb7umQSGrXAoh17lHE0"}]}