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Pomiar wieloczynnikowy w analizie preferencji konsumentów żywnościowych produktów regionalnych

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Tłuczak A.

nr nr 195 Metody ilościowe w badaniach marketingowych

206-215

W artykule przedstawiono metodę badania preferencji konsumentów - analizę conjoint, wyniki opracowano i omówiono na przykładzie konsumentów żywności regionalnej. Celem artykułu było opracowanie profilu produktu oraz wyznaczenie charakterystyk opisujących potencjalnych nabywców. (fragment tekstu)

The consumer preferences are the main issue in the study of their behavior on the market. Consumers makes of such elections to maximize the benefits achieved with the existing budget constraints. All choices are made individual preferences, tastes, habits, which are called preferences. Conjoint analysis is based on the decomposition of the overall desirability of the product, which is described by means of the selected attributes. The decomposition is performed by measuring the total preferences are considered the dependent variable and is identified with the total utility. Model is a model of consumer attitudes compensation, which means that the buyer in their assessments compensates unattractive product attributes its attributes attractive. The article presents a method of testing conjoint analysis of consumer preferences, and the results were discussed on the example of regional food consumers. The final result of analysis is developed profile of the product and the designated characteristics describing potential buyers. (original abstract)

Regresja hedoniczna i Conjoint Analysis w badaniu cen rynkowych i preferencji konsumentów

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Dziechciarz-Duda M. , Król A.

nr nr 195 Metody ilościowe w badaniach marketingowych

33-43

Celem artykułu jest próba zbadania przydatności regresji hedonicznej i metody conjoint analysis jako narzędzia wspomagającego politykę cenową. Użyteczność przedstawionych założeń teoretycznych została zweryfikowana w pilotażowym badaniu empirycznym dotyczącym preferencji konsumentów względem atrybutów urządzeń typu tablet. Wyrażone preferencje zbadano z wykorzystaniem danych z ankiety przeprowadzonej wśród studentów Uniwersytetu Ekonomicznego we Wrocławiu. Ceny tabletów i ich atrybutów zostały przeanalizowane na podstawie danych o około 700 urządzeniach zgromadzonych za pomocą autorskiego narzędzia do automatycznego pobierania danych ze stron internetowych.(fragment tekstu)

This article attempts to examine the applicability of hedonic regression and conjoint analysis as a tool for supporting the pricing policy. Conjoint analysis and hedonic regression are both based on the assumption that durable consumer goods are conglomerates of significant and utility bearing attributes. Conjoint analysis measures partial utilities of characteristics of the commodity as components of the overall preference towards a certain variant of the product. Hedonic regression, in turn, allows for decomposition of the price of the commodity into set of prices of individual characteristics (called implicit or hedonic prices). It is expected that the combined use of these techniques will allow for broader insight into the issue of consumers' preferences and should provide sound basis for commodities pricing. Conducted empirical research was based on two complementary datasets relating tablet computers.(original abstract)

Segmentation of e-customers in Terms of Sustainable Last-mile Delivery

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Kiba-Janiak M. , Cheba K. , Mucowska M. , de Oliveira L. K.

nr nr 4

1117-1142

Research background: A rapidly developing e-commerce market and growing customer expectations regarding the speed and frequency of deliveries have made the last mile of the supply chain more challenging. The expectations of e-customers increase every year. They choose those companies that deliver goods faster and cheaper than others. A significant group of customers in Poland still selects home delivery. Many of them frequently return products to the retailer. These expectations and behaviour pose a challenge for the transport companies to deliver parcels to individual customers soon after the purchase, sometimes even on the same day. In addition, increasingly frequent deliveries contribute to environmental pollution, congestion, and accidents, as well as more expensive deliveries.Purpose of the article: The paper aims to identify e-customers' preferences and assess their impact on sustainable last-mile delivery (LMD) in the e-commerce market. The authors have also identified factors influencing e-customers' behaviour to make last-mile delivery more sustainable.Methods: The conjoint analysis was applied to evaluate a set of profiles defined by selected attributes in order to investigate the overall preferences for the profiles created by the respondents to the survey.Findings & value added: The segmentation of e-customers according to their preferences connected with last-mile delivery was presented. The added value of the paper is the presentation of the methodology to assess the impact of customer preferences on sustainable last-mile delivery. The obtained results may contribute to the formulation of recommendations for e-commerce and logistics companies regarding the preferences of e-customers to improve the sustainability of lastmile delivery. (original abstract)