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      Comparação entre os modelos norte-americano (ACSI) e europeu (ECSI) de satisfação do cliente: um estudo no setor de serviços Translated title: A comparison between the american customer satisfaction index (ACSI) and the european customer satisfaction index (ECSI): a study in the service sector

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          Abstract

          O objetivo central deste trabalho é comparar os modelos norte-americano (ACSI) e europeu (ECSI) de satisfação do cliente, preservando as relações estruturais entre as variáveis latentes tal como originalmente estabelecidas. Para tanto, optou-se por uma abordagem quantitativa, centrada na modelagem de equações estruturais por meio da análise fatorial confirmatória. Foram pesquisados 2.145 clientes de empresas do setor de serviços, atuantes no Estado de Minas Gerais. Os principais resultados indicaram que o ACSI pode mensurar a satisfação de maneira mais precisa do que o ECSI. Outro aspecto é que a reclamação apresentou um efeito significativo sobre a satisfação e a lealdade com o serviço prestado.

          Translated abstract

          The central objective of this study is to compare the American Customer Satisfaction Index (ACSI) and the European Customer Satisfaction Index (ECSI), preserving the structural relations between the latent variables as originally established. For both, it has been chosen a quantitative approach, focused on structural equation modeling through confirmatory factor analysis. The sample was formed by 2,145 customers of companies in the service sector, working in the State of Minas Gerais. The main results indicated that the ACSI can measure the satisfaction of more accurately than the ECSI. Another aspect is that the complaint had a significant effect on satisfaction and loyalty with the service provided.

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          Multivariate Data Analysis

          For graduate courses in Marketing Research, Research Design and Data Analysis. For the non-statistician, this applications-oriented introduction to multivariate analysis reduces the amount of statistical notation and terminology used while focusing on the fundamental concepts that affect the use of specific techniques.
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            Customer value: The next source for competitive advantage

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              Using Multivariate Statistics

              This text takes a practical approach to multivariate data analysis, with an introductionto the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge ofhigher-level mathematics. *A new chapter on survival analysis (Ch. 15) allows students to analyze data where the outcome is time until something happens. This is very popular in biomedical research. *A new chapter on time series analysis (Ch. 16) encourages students to learn to model patterns in data gathered over many trials and to test for the effectiveness on an intervention (
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                ram
                RAM. Revista de Administração Mackenzie
                RAM, Rev. Adm. Mackenzie
                Universidade Presbiteriana Mackenzie (São Paulo )
                1678-6971
                February 2009
                : 10
                : 1
                : 161-187
                Affiliations
                [1 ] Pontifícia Universidade Católica de Minas Gerais Brazil
                [2 ] Fundação Comunitária de Ensino Superior de Itabira
                Article
                S1678-69712009000100008
                10.1590/S1678-69712009000100008
                c7fef819-cda0-4e05-8a0c-a5815a3baf28

                http://creativecommons.org/licenses/by/4.0/

                History
                Product

                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=1678-6971&lng=en
                Categories
                MANAGEMENT

                Management
                Service,Satisfaction,Models,ACSI,ECSI,Serviços,Satisfação,Modelos
                Management
                Service, Satisfaction, Models, ACSI, ECSI, Serviços, Satisfação, Modelos

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