D 2016

Marketing based on optimalization of consumer decsion

WAWROSZ, Petr and Jiří MIHOLA

Basic information

Original name

Marketing based on optimalization of consumer decsion

Authors

WAWROSZ, Petr (203 Czech Republic, belonging to the institution) and Jiří MIHOLA (203 Czech Republic, belonging to the institution)

Edition

Olomouc, Knowledge for Market Use 2016: Our interconnected and Divided World, p. 588-592, 6 pp. 2016

Publisher

Societas Scientiarum Olomucensis II

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50200 5.2 Economics and Business

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/04274644:_____/16:#0000146

Organization unit

University of Finance and Administration

ISBN

978-80-87533-14-7

Keywords in English

marketing; consumption optimization; productive aspects of consumption; rational behaviour

Tags

Reviewed
Změněno: 29/3/2017 11:39, Ing. Dominika Moravcová

Abstract

V originále

The paper deals with one type knowledge those are necessary for market use – knowledge about costumer wants and needs. A lot of producers are interested in what exactly costumers want or need. Some producers create by their goods and services new or chang ed needs and wants. But, from our point of view, producers pay not sufficient attention how they can optimize costumers’ needs and wants. We believe if a costumer consumes goods and services that are really best for him/her (s)he is able to maximizes his/h er utility. But it is not easy for consumers to find best bundle of goods and services. A consumer faces information uncertainty especially if (s)he wants to maximize utility not only in short run but in long run . Some consumers prefer short run maximizat ion to the long run even if they have information about negative consequences of some consumption (e. g. smoking). We emphasize that producers can help customers in finding the optimal bundle and we analyse how they can it achieve.