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2009 | 1 | nr 1 | 83--102
Tytuł artykułu

Satisfaction Drivers in Retail Banking: Comparison of Partial Least Squares and Covariance Based Methods

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The primary goal of the study is to diagnose satisfaction and loyalty drivers in Polish retail banking sector. The problem is approached with Customer Satisfaction Index (CSI) models, which were developed for national satisfaction studies in the United States and European countries. These are multiequation path models with latent variables. The data come from a survey on Poles' usage and attitude towards retail banks, conducted quarterly on a representative sample. The model used in the study is a compromise between author's synthesis of national CSI models and the data constraints. There are two approaches to the estimation of the CSI models: Partial Least Squares - used in national satisfaction studies and Covariance Based Methods (SEM, Lisrel). A discussion is held on which of those two methods is better and in what circumstances. In this study both methods are used. Comparison of their performance is the secondary goal of the study. (original abstract)
Rocznik
Tom
1
Numer
Strony
83--102
Opis fizyczny
Twórcy
  • Warsaw School of Economics, Poland
Bibliografia
  • [1] Ball D., Coelho P. S., Machás A., (2004), The Role of Communication and Trust in Explaining Customer Loyalty: An Extension to the ECSI Model, European Journal of Marketing 38
  • [2] Chatelin Y. M., Vinzi V. E., Tenenhaus M., (2002), State-of-Art on PLS Path Modeling. Through the Available Software, Les Cahiers de Recherche, n 764, Groupe HEC
  • [3] Chin W. W., (1995), Partial Least Squares is to LISREL as Principal Components Analysis is to Common Factor Analysis, Technology Studies 2, University of Calgary
  • [4] Coelho P. S., Esteves S. P., (2007), The Choice Between a 5-point and a 10-point Scale in the Framework of Customer Satisfaction Measurement, International Journal of Market Research 49
  • [5] Derquenne Ch., Hallais C., (2004), Une Méthode Alternative a l'approche PLS : Comparaison et Application aux Modeles Conceptuels Marketing, Revue de Statistique Appliquée 52
  • [6] EPSI Rating Editorial Board (2005), Pan European CSI Report 2005
  • [7] Hoyle, R.H. (ed.) (1995). Structural Equation Modeling, SAGE Publications, Inc. Thousand Oaks, Canada.
  • [8] Johnson M. D., Gustafsson A., Andreassen T. W., Lervik L., Cha J., (2001), The Evolution and Future of National Customer Satisfaction Index Models, Journal of Economic Psychology 22
  • [9] O'Loughlin Ch., Coenders G., (2002), Application of the European Customer Satisfaction Index to Postal Services. Structural Equation Models versus Partial Least Squares, Working Papers of the Department of Economics, University of Girona, Girona
  • [10] Ringle Ch. M., Wende S., Will A., (2005), SmartPLS, University of Hamburg, Hamburg
  • [11] Rossiter J. R., (2002), The C-OAR-SE Procedure for Scale Development in Marketing, International Journal of Research in Marketing 19
  • [12] Tenenhaus M., (1999), L'approche PLS, Revue de statistique appliquée 47
  • [13] University of Michigan (2005), American Customer Satisfaction Index Methodology Report, National Quality Research Center, Stephen M. Ross School of Business, Michigan
  • [14] Vilares M. J., Almeida M. H., Coelho P. S., (2005), Comparison of likelihood and PLS estimators for structural equation modeling. A simulation with customer satisfaction data, 4th International Symposium on PLS and Related Methods, Barcelona, Spain, 7-9.09
  • [15] Wold H., (1985), Partial Least Squares, [in:] Encyclopedia of Statistical Sciences, vol.6, [eds.:] Kotz S., Johnson N.L., John Wiley & Sons, New York, 581-591
  • [16] Yang X., Tian P., Zhang Z., (2004), A Comparative Study on Several National Customer Satisfaction Indices (CSI), 4th Asia Academy of Management Conference, Shanghai, 16-18.12
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000169317687

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