E-Commerce network with price comparator sites

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F19%3A43900891" target="_blank" >RIV/60076658:12510/19:43900891 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ACITT.2019.8779865" target="_blank" >http://dx.doi.org/10.1109/ACITT.2019.8779865</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACITT.2019.8779865" target="_blank" >10.1109/ACITT.2019.8779865</a>

Jazyk výsledku

angličtina

Název v původním jazyce

E-Commerce network with price comparator sites

Popis výsledku v původním jazyce

E-commerce relationships can generally be modeled using a bipartite graph. One part of this chart is made up of customers and the other part consists of e-shops (dealers). Edges show customer activity when visiting websites of various online stores. These links, however, enter online price comparison sites (PCS, comparators, shopbots), such as Heureka. PCS makes it easy to compare the prices of the desired product in different online stores. These comparative pricing not only show the price in different e-shops, but also the assessment of the relevant e-shop made by customers. The issues that this paper addresses are the strategy chosen by the pricing comparator for entering the market, when it is worth closing down online pricing comparison services, etc. In this paper we use network analyzes and simulation methods to model network dynamics to address these issues. © 2019 IEEE.

Název v anglickém jazyce

E-Commerce network with price comparator sites

Popis výsledku anglicky

E-commerce relationships can generally be modeled using a bipartite graph. One part of this chart is made up of customers and the other part consists of e-shops (dealers). Edges show customer activity when visiting websites of various online stores. These links, however, enter online price comparison sites (PCS, comparators, shopbots), such as Heureka. PCS makes it easy to compare the prices of the desired product in different online stores. These comparative pricing not only show the price in different e-shops, but also the assessment of the relevant e-shop made by customers. The issues that this paper addresses are the strategy chosen by the pricing comparator for entering the market, when it is worth closing down online pricing comparison services, etc. In this paper we use network analyzes and simulation methods to model network dynamics to address these issues. © 2019 IEEE.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2019 9TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER INFORMATION TECHNOLOGIES (ACIT&apos;2019)

ISBN

978-1-72810-449-2

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

401-404

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

USA

Místo konání akce

České Budějovice

Datum konání akce

5. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000502830500096