Boztuǧ, Yasemin

[["dc.bibliographiccitation.firstpage","217"],["dc.bibliographiccitation.lastpage","233"],["dc.contributor.author","Hildebrandt, Lutz"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.contributor.editor","Schuckel, M."],["dc.contributor.editor","Toporowski, Waldemar"],["dc.date.accessioned","2020-03-09T14:57:15Z"],["dc.date.available","2020-03-09T14:57:15Z"],["dc.date.issued","2007"],["dc.description.abstract","Die Modellierung des individuellen Kaufverhaltens ist eins der zentralen Forschungsthemen im Marketing. Dabei hat sich zur Modellierung von Wahlentscheidungen das multinomiale Logit-Modell (z.B. Guadagni, Little 1983) durchgesetzt, was im Wesentlichen zur Analyse von Käufen innerhalb einer Warenkategorie oder zur Analyse von Wahlentscheidungen zwischen Marken eingesetzt wird. Die Fokussierung auf Käufe innerhalb einer Kategorie stellt aber eine starke Einschränkung dar, betrachtet man das tatsächliche Kaufverhalten der Konsumenten. In der Regel wird bei einem Einkaufsvorgang über einen ganzen Warenkorb mit Produkten aus mehreren Kategorien entschieden. Zusätzlich wird bei den Standardmodellen zur Markenwahl angenommen, dass die Käufe in den einzelnen Kategorien unabhängig voneinander sind. Bei Verletzung dieser Annahme können statistische Analysen zu falschen Schätzresultaten führen und somit auch zu fehlerhaften Empfehlungen für das Management. Diese Probleme wollen die Methoden und Modelle der Warenkorbanalyse überwinden."],["dc.identifier.doi","10.1007/978-3-8350-9535-9_11"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63264"],["dc.language.iso","de"],["dc.publisher","DUV"],["dc.relation.isbn","978-3-8350-0702-4"],["dc.relation.isbn","978-3-8350-9535-9"],["dc.relation.ispartof","Theoretische Fundierung und praktische Relevanz der Handelsforschung"],["dc.title","Ansätze zur Warenkorbanalyse im Handel"],["dc.type","book_chapter"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","187"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","OR Spectrum"],["dc.bibliographiccitation.lastpage","207"],["dc.bibliographiccitation.volume","36"],["dc.contributor.author","Boztug, Yasemin"],["dc.contributor.author","Hildebrandt, Lutz"],["dc.contributor.author","Raman, Kalyan"],["dc.date.accessioned","2018-11-07T09:46:49Z"],["dc.date.available","2018-11-07T09:46:49Z"],["dc.date.issued","2014"],["dc.description.abstract","The semi-parametric methodology, underutilized in marketing, can be applied to distinguish between competing models of price response and to estimate the model that most validly describes consumer response to price. The methodology is robust and flexible, thereby making it applicable to a wide spectrum of models of consumer response. In the specific context of reference prices, we show that the semi-parametric methodology helps the manager develop price promotions that most effectively capitalize on the nature of consumer price response."],["dc.identifier.doi","10.1007/s00291-012-0313-4"],["dc.identifier.isi","000330173800010"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10245"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/34972"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.relation.issn","1436-6304"],["dc.relation.issn","0171-6468"],["dc.relation.orgunit","Wirtschaftswissenschaftliche Fakultät"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Detecting price thresholds in choice models using a semi-parametric approach"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","635"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Computational Statistics"],["dc.bibliographiccitation.lastpage","657"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Abe, Makoto"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.contributor.author","Hildebrandt, Lutz"],["dc.date.accessioned","2020-03-09T14:49:50Z"],["dc.date.available","2020-03-09T14:49:50Z"],["dc.date.issued","2004"],["dc.description.abstract","The Multinomial Logit (MNL) model is still the only viable option to study nonlinear responsiveness of utility to covariates nonparametrically. This research investigates whether MNL structure of inter-brand competition is a reasonable assumption, so that when the utility function is estimated nonparametrically, the IIA assumption does not bias the result. For this purpose, the authors compare the performance of two comparable nonparametric choice models that differ in one aspect: one assumes MNL competitive structure and the other infers the pattern of brands’ competition nonparametrically from data."],["dc.identifier.doi","10.1007/BF02753916"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63261"],["dc.language.iso","en"],["dc.relation.issn","0943-4062"],["dc.relation.issn","1613-9658"],["dc.title","Investigating the competitive assumption of Multinomial Logit models of brand choice by nonparametric modeling"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","400"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Schmalenbach Business Review"],["dc.bibliographiccitation.lastpage","422"],["dc.bibliographiccitation.volume","60"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.contributor.author","Hildebrandt, Lutz"],["dc.date.accessioned","2020-03-09T15:03:21Z"],["dc.date.available","2020-03-09T15:03:21Z"],["dc.date.issued","2008"],["dc.description.abstract","Our research examines the hypothesis that products chosen on a shopping trip to a supermarket indicate the preference interdependencies of consumers between different products or brands. The bundle chosen on the trip can be regarded as an indicator of a global utility function. This function implies a cross-category dependence of brand choice behavior. We hypothesize that the global utility function related to a product bundle is the result of the marketing-mix of the underlying brands. The structure of the chosen products allows us to uncover the impact of certain marketing-mix variables and product bundle buying behavior."],["dc.identifier.doi","10.1007/BF03396777"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63268"],["dc.language.iso","en"],["dc.relation.issn","1439-2917"],["dc.relation.issn","2194-072X"],["dc.title","Modeling Joint Purchases with a Multivariate MNL Approach"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","558"],["dc.bibliographiccitation.lastpage","565"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.contributor.author","Hildebrandt, Lutz"],["dc.contributor.editor","Spiliopoulou, M."],["dc.contributor.editor","Kruse, R."],["dc.contributor.editor","Borgelt, C."],["dc.contributor.editor","Nürnberger, A."],["dc.contributor.editor","Gaul, W."],["dc.date.accessioned","2020-03-09T14:53:35Z"],["dc.date.available","2020-03-09T14:53:35Z"],["dc.date.issued","2006"],["dc.description.abstract","The following research is guided by the hypothesis that products chosen on a shopping trip in a supermarket can indicate the preference interdependencies between different products or brands. The bundle chosen on the trip can be regarded as the result of a global utility function. More specifically: the existence of such a function implies a cross-category dependence of brand choice behavior. It is hypothesized that the global utility function related to a product bundle results from the marketing-mix of the underlying brands. Several approaches exist to describe the choice of specific categories from a set of many alternatives. The models are discussed in brief; the multivariate logit approach is used to estimate a model with a German data set."],["dc.identifier.doi","10.1007/3-540-31314-1_68"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63262"],["dc.language.iso","en"],["dc.publisher","Springer"],["dc.publisher.place","Berlin, Heidelberg"],["dc.relation.isbn","3-540-31313-3"],["dc.relation.ispartof","From Data and Information Analysis to Knowledge Engineering. Studies in Classification, Data Analysis, and Knowledge Organization."],["dc.title","A Market Basket Analysis Conducted with a Multivariate Logit Model"],["dc.type","book_chapter"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","287"],["dc.bibliographiccitation.lastpage","302"],["dc.contributor.author","Boztuǧ, Yasemin"],["dc.contributor.author","Hildebrandt, Lutz"],["dc.contributor.author","Silberhorn, Nadja"],["dc.date.accessioned","2020-03-09T14:11:54Z"],["dc.date.available","2020-03-09T14:11:54Z"],["dc.date.issued","2012"],["dc.description.abstract","In competitive markets, customer retention is in general more efficient than trying to attract new customers. Therefore, as a resulting outcome brand loyalty is regarded as a major strategic asset that has been investigated as an important source of equity. Most analyses, however, have been conducted in one specific product category only. The aspect of crosscategory related brand loyalty has been widely neglected so far. We concentrate on crosscategory relationships of national brands and on how customers’ brand choice decisions are related across several product categories. This knowledge is of relevance for retail managers and manufacturers who think of segment-specific promotion strategies that consider the customer segments’ loyalty patterns across categories. Our measure of brand loyalty is the Share of Category Requirements (SCR) to capture the relative share of category purchases that individual households give to each brand they buy, defined to be each brand’s market share among triers of the brand. We use the SCR measure as a behavioral and individualoriented measure. We use scanner panel and corresponding survey data. The scanner panel data contains households’ repeated FMCG purchase information of purchases in different kinds of store types within a limited geographic region. All the participating households were also asked to fill in a questionnaire on their values and attitudes. From an analysis of brand loyalty patterns different consumer segments result. An ex-post analysis based on general attitudes and other consumer characteristics reveals distinguishing factors between the consumer segments."],["dc.identifier.doi","10.1007/978-3-8349-3722-3_14"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/63249"],["dc.language.iso","de"],["dc.relation.isbn","978-3-8349-3060-6"],["dc.relation.isbn","978-3-8349-3722-3"],["dc.relation.ispartof","Quantitative Marketing and Marketing Management"],["dc.title","Investigating Cross-Category Brand Loyal Purchase Behavior in FMCG"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]