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Analiza preferencji słuchaczy uniwersytetu trzeciego wieku z wykorzystaniem wybranych metod niesymetrycznego skalowania wielowymiarowego

100%
Zaborski A.
Studia Ekonomiczne
|
2014
|
vol. 195
216-224
EN
This paper has a methodological and empirical character. Its aims at analysis the changes that have occurred in the preferences of the University of the Third Age members from 2009 to 2013. The study used two methods of asymmetric multidimensional scaling: the gravity unfolding analysis and the drift vectors method. Gravity unfolding analysis was used for the graphical presentation of the respondents' preference similarities in a definite period, and the drift vectors method was used to indicate the direction and the strength of this changes.
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Socially Aware Computing Survey Results

63%
Pańkowska M.
Studia Ekonomiczne
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2014
|
vol. 188
135-144
PL
Celem badania jest przedstawienie preferencji studentów Uniwersytetu Ekonomicznego dla użycia urządzeń mobilnych i nowych mediów społecznościowych. Artykuł obejmuje analizę i dyskusję na temat wyników badań preferencji studentów. Badanie zostało wykonane w 2013 r. i powtórzone w 2014 r. na Uniwersytecie Ekonomicznym w Katowicach. Wyniki badania wydają się być użyteczne dla dalszej oceny bezpieczeństwa, dostępności i skalowalności zastosowań nowych mediów na uniwersytecie.
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Regresja hedoniczna i Conjoint Analysis w badaniu cen rynkowych i preferencji konsumentów

63%
Dziechciarz-Duda M., Król A.
Studia Ekonomiczne
|
2014
|
vol. 195
33-43
EN
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.
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