Website traffic measurement and rankings: competitive intelligence tools examination

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F18%3A43953271" target="_blank" >RIV/49777513:23510/18:43953271 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/49777513:23520/18:43953271

Výsledek na webu

<a href="http://dx.doi.org/10.1108/IJWIS-01-2018-0001" target="_blank" >http://dx.doi.org/10.1108/IJWIS-01-2018-0001</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1108/IJWIS-01-2018-0001" target="_blank" >10.1108/IJWIS-01-2018-0001</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Website traffic measurement and rankings: competitive intelligence tools examination

Popis výsledku v původním jazyce

The purpose of this paper is to examine and verify the competitive intelligence tools Alexa and SimilarWeb, which are broadly used for website traffic data estimation. Tested tools belong to the state of the art in this area. The authors use quantitative approach. Research was conducted on a sample of Czech websites for which there are accurate traffic data values, against which the other data sets (less accurate) provided by Alexa and SimilarWeb will be compared. The results show that neither tool can accurately determine the ranking of websites on the internet. However, it is possible to approximately determine the significance of a particular website. These results are useful for another research studies which use data from Alexa or SimilarWeb. Moreover, the results show that it is still not possible to accurately estimate website traffic of any website in the world. The limitation of the research lies in the fact that it was conducted solely in the Czech market. Significant amount of research studies use data sets provided by Alexa and SimilarWeb. However, none of these research studies focus on the quality of the website traffic data acquired by Alexa or SimilarWeb, nor do any of them refer to other studies that would deal with this issue. Furthermore, authors describe approaches to measuring website traffic and based on the analysis, the possible usability of these methods is discussed.

Název v anglickém jazyce

Website traffic measurement and rankings: competitive intelligence tools examination

Popis výsledku anglicky

The purpose of this paper is to examine and verify the competitive intelligence tools Alexa and SimilarWeb, which are broadly used for website traffic data estimation. Tested tools belong to the state of the art in this area. The authors use quantitative approach. Research was conducted on a sample of Czech websites for which there are accurate traffic data values, against which the other data sets (less accurate) provided by Alexa and SimilarWeb will be compared. The results show that neither tool can accurately determine the ranking of websites on the internet. However, it is possible to approximately determine the significance of a particular website. These results are useful for another research studies which use data from Alexa or SimilarWeb. Moreover, the results show that it is still not possible to accurately estimate website traffic of any website in the world. The limitation of the research lies in the fact that it was conducted solely in the Czech market. Significant amount of research studies use data sets provided by Alexa and SimilarWeb. However, none of these research studies focus on the quality of the website traffic data acquired by Alexa or SimilarWeb, nor do any of them refer to other studies that would deal with this issue. Furthermore, authors describe approaches to measuring website traffic and based on the analysis, the possible usability of these methods is discussed.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

International Journal of Web Information Systems

ISSN

1744-0084

e-ISSN

—

Svazek periodika

14

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

15

Strana od-do

423-437

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85057027246