Identification of critical success factors that maximise customers satisfaction: multivariate analysis
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582015000100021 |
Resumo: | This study was based on the identification of critical success factors (CSFs) that maximise customer 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. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Identification of critical success factors that maximise customers satisfaction: multivariate analysisImportance-satisfaction matrixcritical success factorscustomersexploratory factor analysiscluster analysisThis study was based on the identification of critical success factors (CSFs) that maximise customer 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.Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582015000100021Tourism & Management Studies v.11 n.1 2015reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582015000100021Ferreira,Hélder PiresFernandes,Paula Odeteinfo:eu-repo/semantics/openAccess2024-02-06T17:29:02Zoai:scielo:S2182-84582015000100021Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:33:06.397218Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Identification of critical success factors that maximise customers satisfaction: multivariate analysis |
title |
Identification of critical success factors that maximise customers satisfaction: multivariate analysis |
spellingShingle |
Identification of critical success factors that maximise customers satisfaction: multivariate analysis Ferreira,Hélder Pires Importance-satisfaction matrix critical success factors customers exploratory factor analysis cluster analysis |
title_short |
Identification of critical success factors that maximise customers satisfaction: multivariate analysis |
title_full |
Identification of critical success factors that maximise customers satisfaction: multivariate analysis |
title_fullStr |
Identification of critical success factors that maximise customers satisfaction: multivariate analysis |
title_full_unstemmed |
Identification of critical success factors that maximise customers satisfaction: multivariate analysis |
title_sort |
Identification of critical success factors that maximise customers satisfaction: multivariate analysis |
author |
Ferreira,Hélder Pires |
author_facet |
Ferreira,Hélder Pires Fernandes,Paula Odete |
author_role |
author |
author2 |
Fernandes,Paula Odete |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Ferreira,Hélder Pires Fernandes,Paula Odete |
dc.subject.por.fl_str_mv |
Importance-satisfaction matrix critical success factors customers exploratory factor analysis cluster analysis |
topic |
Importance-satisfaction matrix critical success factors customers exploratory factor analysis cluster analysis |
description |
This study was based on the identification of critical success factors (CSFs) that maximise customer 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. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582015000100021 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582015000100021 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582015000100021 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve |
publisher.none.fl_str_mv |
Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve |
dc.source.none.fl_str_mv |
Tourism & Management Studies v.11 n.1 2015 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1799137391242379264 |