Measuring local competitiveness: comparing and integrating two methods PCA and AHP

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F22%3A94392" target="_blank" >RIV/60460709:41110/22:94392 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s11135-021-01181-z" target="_blank" >https://link.springer.com/article/10.1007/s11135-021-01181-z</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11135-021-01181-z" target="_blank" >10.1007/s11135-021-01181-z</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Measuring local competitiveness: comparing and integrating two methods PCA and AHP

Popis výsledku v původním jazyce

This article discusses two methods to measure the concept of local competitiveness: Principal Component Analysis (PCA) and Analytical Hierarchy Process (AHP). The goal of this analysis is to determine whether these two methods used in social sciences research lead to comparable model results. By non-parametric tests we show that there is a signifcant correlation between the PCA and AHP local competitiveness indexes. Thereafter, a developed mixed method examination of whether the methods can be used interchangeably is presented and illustrated with detailed examples of two mixed approaches. The mixed method confrms the correlation between the PCA and AHP models. However, the mixed modelling results indicate the utility of the PCA in the situation of a multicriteria local competitiveness data examination.

Název v anglickém jazyce

Measuring local competitiveness: comparing and integrating two methods PCA and AHP

Popis výsledku anglicky

This article discusses two methods to measure the concept of local competitiveness: Principal Component Analysis (PCA) and Analytical Hierarchy Process (AHP). The goal of this analysis is to determine whether these two methods used in social sciences research lead to comparable model results. By non-parametric tests we show that there is a signifcant correlation between the PCA and AHP local competitiveness indexes. Thereafter, a developed mixed method examination of whether the methods can be used interchangeably is presented and illustrated with detailed examples of two mixed approaches. The mixed method confrms the correlation between the PCA and AHP models. However, the mixed modelling results indicate the utility of the PCA in the situation of a multicriteria local competitiveness data examination.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

QUALITY & QUANTITY

ISSN

0033-5177

e-ISSN

1573-7845

Svazek periodika

56

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

19

Strana od-do

1371-1389

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85129708359