Identification of critical success factors that maximise customers’ satisfaction: multivariate analysis

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Main Author: Hélder Pires Ferreira
Format: Artículo científico
Language:en
Published: Universidade do Algarve 2015
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author Hélder Pires Ferreira
author_facet Hélder Pires Ferreira
contents Identification of critical success factors that maximise customers’ satisfaction: multivariate analysis Hélder Pires Ferreira Paula Odete Fernandes Estudios de Turismo customers Importance cluster analysis satisfaction matrix critical success factors This study was based on the identification of critical success factors (CSFs) that maximise cust omer satisfaction, as well as an analysis of customers’ degree of satisfaction and the importance that they attach to CSFs. For this purpose, 225 customers of the company Futurlab were surveyed, with a sampling error of 5.8% at a significance level of 5%. To identify the CSFs, we used exploratory factor analysis and, to analyse satisfaction and importance for the CSFs, we used an importance - satisfaction matrix. This study also sought to identify homogeneous groups of customers using cluster analysis. Based on the results, seven CSFs were identified, and, in general, customers showed satisfaction with the performance of Futurlab. The cluster analysis identified four clusters according to the importance and satisfaction attributed to the CSFs. 2015 artículo científico 2182-8458 https://www.redalyc.org/articulo.oa?id=388743883021 en http://www.redalyc.org/revista.oa?id=3887 Tourism & Management Studies application/pdf Universidade do Algarve Tourism & Management Studies (Portugal) Num.1 Vol.11
format Artículo científico
id redalyc_388743883021
institution Redalyc
language en
publishDate 2015
publisher Universidade do Algarve
spellingShingle Identification of critical success factors that maximise customers’ satisfaction: multivariate analysis
Hélder Pires Ferreira
Estudios de Turismo
customers
Importance
cluster analysis
satisfaction matrix
critical success factors
Identification of critical success factors that maximise customers’ satisfaction: multivariate analysis Hélder Pires Ferreira Paula Odete Fernandes Estudios de Turismo customers Importance cluster analysis satisfaction matrix critical success factors This study was based on the identification of critical success factors (CSFs) that maximise cust omer satisfaction, as well as an analysis of customers’ degree of satisfaction and the importance that they attach to CSFs. For this purpose, 225 customers of the company Futurlab were surveyed, with a sampling error of 5.8% at a significance level of 5%. To identify the CSFs, we used exploratory factor analysis and, to analyse satisfaction and importance for the CSFs, we used an importance - satisfaction matrix. This study also sought to identify homogeneous groups of customers using cluster analysis. Based on the results, seven CSFs were identified, and, in general, customers showed satisfaction with the performance of Futurlab. The cluster analysis identified four clusters according to the importance and satisfaction attributed to the CSFs. 2015 artículo científico 2182-8458 https://www.redalyc.org/articulo.oa?id=388743883021 en http://www.redalyc.org/revista.oa?id=3887 Tourism & Management Studies application/pdf Universidade do Algarve Tourism & Management Studies (Portugal) Num.1 Vol.11
title Identification of critical success factors that maximise customers’ satisfaction: multivariate analysis
topic Estudios de Turismo
customers
Importance
cluster analysis
satisfaction matrix
critical success factors
url https://www.redalyc.org/articulo.oa?id=388743883021