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dc.contributor.authorLoy, Jens-Peter
dc.contributor.authorRen, Yanjun
dc.contributor.editorGandorfer, Markus
dc.contributor.editorHoffmann, Christa
dc.contributor.editorEl Benni, Nadja
dc.contributor.editorCockburn, Marianne
dc.contributor.editorAnken, Thomas
dc.contributor.editorFloto, Helga
dc.date.accessioned2022-02-24T13:34:43Z
dc.date.available2022-02-24T13:34:43Z
dc.date.issued2022
dc.identifier.isbn978-3-88579-711-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/38392
dc.description.abstractIn this paper, we develop a theory of food retail promotional strategy. We test the theory using online food retail prices. A python code is applied to retrieve information from the web page mytime.de. Mytime.de is an online grocery outlet that belongs to the Bünting Group, a food retailer in North-West Germany. The promotional sales on mytime.de show a complementary relationship between breadth and depth of sales, indicating that in order to attract consumers, stores raise both the number (breadth) and the depth of price promotions.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-317
dc.subjecte-food retailing
dc.subjectpromotional sales
dc.subjectGermany
dc.titleWeb scraping of food retail pricesen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages177-182
mci.conference.locationTänikon, Online
mci.conference.date21.-22. Februar 2022


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