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dc.contributor.author
Jagabathula, Srikanth
dc.contributor.author
Vulcano, Gustavo
dc.date.available
2017-08-16T20:18:13Z
dc.date.issued
2017-04
dc.identifier.citation
Jagabathula, Srikanth; Vulcano, Gustavo; A partial-order-based model to estimate individual preferences using panel data; Informs; Management Science; 4-2017; 1-20
dc.identifier.issn
0025-1909
dc.identifier.uri
http://hdl.handle.net/11336/22543
dc.description.abstract
In retail operations, customer choices may be affected by stockout and promotion events. Given panel data with the transaction history of customers, and product availability and promotion data, our goal is to predict future individual purchases. We use a general nonparametric framework in which we represent customers by partial orders of preferences. In each store visit, each customer samples a full preference list of the products consistent with her partial order, forms a consideration set, and then chooses to purchase the most preferred product among the considered ones. Our approach involves: (a) defining behavioral models to build consideration sets as subsets of the products on offer, (b) proposing a clustering algorithm for determining customer segments, and (c) deriving marginal distributions for partial preferences under the multinomial logit model. Numerical experiments on real-world panel data show that our approach allows more accurate, fine-grained predictions for individual purchase behavior compared to state-of-the-art alternative methods.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Informs
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Nonparametric Choice Models
dc.subject
Customized Promotions
dc.subject
Panel Data
dc.subject
Partial Orders
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Inertia in Choice
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Brand Loyalty
dc.subject
Personalized Predictions
dc.subject.classification
Matemática Pura
dc.subject.classification
Matemáticas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
A partial-order-based model to estimate individual preferences using panel data
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-06-21T16:50:15Z
dc.identifier.eissn
1526-5501
dc.journal.pagination
1-20
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Catonsville
dc.description.fil
Fil: Jagabathula, Srikanth. University of New York; Estados Unidos
dc.description.fil
Fil: Vulcano, Gustavo. Universidad Torcuato Di Tella. Escuela de Negocios; Argentina. University of New York; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Management Science
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://pubsonline.informs.org/doi/10.1287/mnsc.2016.2683
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1287/mnsc.2016.2683
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