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  • 2005-2009  (19)
  • 1960-1964
  • Hildebrandt, Lutz  (19)
  • 1
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
    UID:
    edochu_18452_4133
    Format: 1 Online-Ressource (7 Seiten)
    ISSN: 1436-1086
    Series Statement: Sonderforschungsbereich 373: Quantification and Simulation of Economic Processes 2002,2005,33
    Content: Unobserved heterogeneity is a serious but often neglected problem in structural equation modelling (SEM) challenging the validity of many empirical results. Recently, a finite mixture approach to SEM has been proposed to resolve this problem but until now only a few studies analyse the performance of the relevant software. The contribution of this paper is twofold: First, results from a Monte Carlo study into the properties of the program system MECOSA are presented. Second, an empirical application to data from a large-scale consumer survey in the fast moving consumer goods industry is described.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 2
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
    UID:
    edochu_18452_4245
    Format: 1 Online-Ressource (22 Seiten)
    ISSN: 1436-1086
    Series Statement: Sonderforschungsbereich 373: Quantification and Simulation of Economic Processes 2003,2005,21
    Content: The following research is guided by the hypothesis, that products chosen on a shopping trip in a supermarket are an indicator of the preference interdependencies between different products or brands. The bundle chosen on the trip can be regarded as an indicator of a global utility function. More specific: 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 is the result of the marketing–mix of the underlying brands. To investigate the determinants of the choice for a certain bundle, a market basket forecast model is adopted from Russel and Petersen (2000) which uses a multivariate logistic function. The target of this paper is to apply a multivariate logistic approach to estimate a market basket model and to make a comparison between the results of the parameter estimates for a Canadian data set with a German one, which leads to a cross–cultural study. To our knowledge the adoption of this model type to a German data set is shown the first time. The estimation technique is derived from models of spatial statistics and will be explained here in much more detail than in Russel and Petersen (2000). The structure of the chosen product categories allow to discover the impact of certain marketing–mix variables and cross national comparison of market basket choice respectively product bundle buying behavior.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 3
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
    UID:
    edochu_18452_3923
    Format: 1 Online-Ressource (26 Seiten)
    ISSN: 1436-1086
    Series Statement: Sonderforschungsbereich 373: Quantification and Simulation of Economic Processes 1999,2005,55
    Language: German
    URL: Volltext  (kostenfrei)
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  • 4
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
    UID:
    edochu_18452_3985
    Format: 1 Online-Ressource (8 Seiten)
    ISSN: 1436-1086
    Series Statement: Sonderforschungsbereich 373: Quantification and Simulation of Economic Processes 2000,2005,11
    Language: English
    URL: Volltext  (kostenfrei)
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  • 5
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
    UID:
    edochu_18452_4122
    Format: 1 Online-Ressource (25 Seiten)
    ISSN: 1436-1086
    Series Statement: Sonderforschungsbereich 373: Quantification and Simulation of Economic Processes 2002,2005,22
    Content: Critiques of the concept of key success factors have raised objections both conceptually and methodologically. From the latter perspective, common research practice is criticized for neglecting the influence of firm-specific, unobservable variables (e.g., management skills). To control for these effects a structural equation approach (“LISREL”) to the analysis of panel data is proposed. In an empirical study based on the PIMS annual data base the influence of unobservables on the direct and indirect effects of product quality on profitability is examined. It is shown, how a step by step extension of a basic simultaneous equation model sheds some light on the role unobservable variables play. Even after controlling for persistent unobservable effects product quality and market share remain significant determinants of profitability.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 6
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
    UID:
    edochu_18452_3916
    Format: 1 Online-Ressource (24 Seiten)
    ISSN: 1436-1086
    Series Statement: Sonderforschungsbereich 373: Quantification and Simulation of Economic Processes 1999,2005,46
    Language: German
    URL: Volltext  (kostenfrei)
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  • 7
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
    UID:
    edochu_18452_3914
    Format: 1 Online-Ressource (31 Seiten)
    ISSN: 1436-1086
    Series Statement: Sonderforschungsbereich 373: Quantification and Simulation of Economic Processes 1999,2005,44
    Content: The present paper concentrates on the nature and structure of inter-store price competition. It focusses especially on price competition between different retailers within one trading area and within one product category. Six theoretically founded hypotheses postulate competitive relations between manufacturers’ UPCs and the retailers covering various possible competitive conditions such as competitive independencies or various degrees of competitive dependency among the UPCs and the retailers. These hypotheses have been tested empirically with store-level scanner data. UPC is the Universal Product Code, the most dominant coding technology in the United States. It allows for point-of-sale (POS) scanning systems and to continuously collect data by item at the retail level. The retail prices of 27 UPCs from a five stores suburban market place measured over 104 weeks are analyzed by using the three-mode component analysis to determine the basic and important competitive conditions in the market under study. On the basis of the estimated component structure of the UPCs, of the stores and of the weeks as well as on the basis of the core array, which provides the information of how the components of different modes (here UPCs, stores, and weeks) are related to each other the appropriateness of the six research hypotheses is tested. The empirical results support the theoretical implications that the price competition between UPCs and retailers in one product category and one trading area is primarily determined by manufacturers’ pricing strategies. The manufacturer “set” the retail prices (shelf prices and temporary price reductions) by deciding on the number and size of the trade deals whereas the retailers exert passive pricing strategies by passing some or most of the trade deals through to their consumers.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 8
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
    UID:
    edochu_18452_4801
    Format: 1 Online-Ressource (19 Seiten)
    ISSN: 1860-5664
    Series Statement: 2008,57
    Content: Context effects can have a major influence on brand choice behavior after the introduction of a new product. Based on behavioral literature, several hypotheses about the effects of a new brand on perception, preferences and choice behavior can be derived, but studies with real choice data are still lacking. We employ an internal market structure analysis to measure context effects caused by a new product in scanner panel data, and to discriminate between alternative theoretical explanations. An empirical investigation reveals strong support for categorization effects and changes in perception, which affect customers in two out of five segments.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 9
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
    UID:
    edochu_18452_4575
    Format: 1 Online-Ressource (49 Seiten)
    ISSN: 1860-5664
    Series Statement: 2005,57
    Content: In this paper we estimate and empirically test different behavioral theories of consumer reference price formation. Two major theories are proposed to model the reference price reaction: assimilation contrast theory and prospect theory. We assume that different consumer segments will use different reference prices. The study builds on earlier research by Kalyanaram and Little (1994); however, in contrast to their work, we use parametric and semiparametric approaches to detect the structure of the underlying data sets. The different models are tested using a program module in GAUSS that was able to account for heterogeneity. The model types were calibrated by a simulation study. The calibrated modules were then used to analyze real market data.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 10
    Online Resource
    Online Resource
    Berlin : Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
    UID:
    edochu_18452_4878
    Format: 1 Online-Ressource (48 Seiten)
    ISSN: 1860-5664
    Series Statement: 2009,61
    Content: The need to understand and leverage consumer-brand bonds has become critical in a marketplace characterized by increasing unpredictability, diminishing product differentiation, and heightened competitive pressure. This is especially true for fast moving consumer goods (FMCG) manufacturers and retailers. Knowing why a customer stays loyal to a brand in multiple product categories is necessary for deriving suitable marketing strategies in the context of a brand extension, yet research on the motives, characteristics, life styles and attitudes of cross-category brand loyal customers has been investigated only in a limited number of studies. We will fill a gap in the literature on cross-category brand choice behavior by analyzing revealed preference data with respect to brand loyalty in several categories in which a brand competes. Provided with purchase and corresponding survey data we investigate the product portfolio of a leading nonfood FMCG brand. We segment consumers on the basis of their revealed brand preferences and, focusing on consumers’ risk aversion, identify cross-category brand loyal customers’ personality traits as determinants of their brand loyal purchase behavior.
    Language: English
    URL: Volltext  (kostenfrei)
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