Semantic Network in Information Processing for the Pork Market
J. Rydval,
J. Bartoška and
H. Brožová
AGRIS on-line Papers in Economics and Informatics, 2014, vol. 06, issue 3, 9
Abstract:
The main aim of this paper is to capture the elements of individual information frames and their relations using semantic network; and to express the loss of information and information asymmetry in the market environment. Preferences of elements in the network are evaluated by the Analytical network process. The benefits of applying semantic networks in the market environment are in increasing consumer information and reducing information asymmetry. The use of semantic networks will be shown in the analysis of the information frames of the producer, distributor and consumer in the pork market. The consumer’s frame expresses expectations and preferences, according to which decisions are made. Producer operates with greater range of information about the product than is available to the consumer. Distributor receives information from both the producer and from the consumer, but this information is not usually fully shared to the consumers or producers. This creates information asymmetry.
Keywords: Consumer/Household Economics; Marketing (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/188736/files/a ... bartoska_brozova.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:aolpei:188736
DOI: 10.22004/ag.econ.188736
Access Statistics for this article
More articles in AGRIS on-line Papers in Economics and Informatics from Czech University of Life Sciences Prague, Faculty of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().