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Original Articles

A New Statistical Model for the Analysis of Customer Satisfaction

&
Pages 149-168 | Received 01 Jul 2007, Accepted 01 Dec 2007, Published online: 09 Feb 2016

References

  • Agresti, A. (1984). Analysis of Ordinal Categorical Data. John Wiley & Sons, New York.
  • Agresti, A. (1996). An Introduction to Categorical Data Analysis. John Wiley & Sons, New York.
  • Agresti, A. (2002). Categorical Data Analysis, 2nd edition. John Wiley & Sons, New York.
  • Anderson, E. W. and Fornell, C. (2000). Foundations of the American customer satisfaction index. Total Quality Management, 11, 869–882.
  • Bartholomew, D. J. (1987). Latent Variable Models and Factor Analysis. M. Dekker, New York.
  • Bitner, M. J. (1990), Evaluating service encounter: the effects of physical surroundings and employee responses. Journal of Marketing, 54, 69–82.
  • Cagnone, S., Gardini, A. and Mignani, S. (2004). New developments of latent variable models with ordinal data. Atti della XLII Riunione Scientifica SIS, Bari, Vol. I, 1–12.
  • D’Elia, A. and Piccolo, D. (2005a). A mixture model for preference data analysis. Computational Statistics & Data Analysis, 49, 917–934.
  • D’Elia, A. and Piccolo, D. (2005b). Uno studio sulla percezione delle emergenze metropolitane: un approccio modellistico. Quaderni di Statistica, 7, 121–161.
  • Dick, A. S. and Basu, K. (1994), Customer loyalty: toward an integrated conceptual framework. Journal of the Academy of Marketing Science, 22(2), 99–113.
  • Dobson, A. J. (2002). An Introduction to Generalized Linear Models (2nd edition). Chapman & Hall/CRC, Boca Raton.
  • Everitt, B. S. (1984). An Introduction to Latent Variable Models. Chapman and Hall, New York.
  • Fligner, M. A., Verducci, J. S. (1999). Probability Models and Statistical Analyses of Ranking Data. Springer-Verlag, New York.
  • Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J. and Bryant, B. E. (1996). The American customer satisfaction index: nature, purpose, and findings. Journal of Marketing, 60, 7–18.
  • Fornell, C., Mithas, S., Morgeson, III F. V. and Krishnan, M. S. (2006). Customer satisfaction and stock prices: high returns, low risk. Journal of Marketing, 70, 3–14.
  • Franses, P. H. and Paap, R. (2001). Quantitative Models in Marketing Research. Cambridge University Press, Cambridge.
  • Jurowski, C., Cumbow, M. W., Uysal, M. and Noe, F. P. (1995–6). The effects of instrumental and expressive factors on overall satisfaction in a park environment. Journal of Environmental System, 24(1), 47–67.
  • King, G., Tomz, M. and Wittenberg, J. (2000). Making the most of statistical analyses: improving interpretation and presentation. American Journal of Political Science, 44, 341–355.
  • LaTour, S. A. and Peat, N. C. (1979). Conceptual and Methodological Issues in Consumer Satisfaction Research, eds. Ralph day, Bloomington Wilkie, W.L., Indiana University Press, 31–35.
  • Liljander, V. (1994). Modeling perceived service quality using different comparison standard. Journal of Consumer Satisfaction and Dissatisfaction, 7, 126–142.
  • Louviere, J. J., Hensher D. A. and Swait J. D. (2000). Stated Choice Methods: Analysis and Applications. Cambridge University Press, Cambridge.
  • Marden, J. I. (1995). Analyzing and Modelling Rank Data. Chapman & Hall, London.
  • McCullagh, P. (1980). Regression models for ordinal data (with discussion). Journal of the Royal Statistical Society, Series B, 42, 109–142.
  • McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models (2nd edition). Chapman and Hall, London.
  • McLachlan, G. and Krishnan, G. J. (1997). The EM Algorithm and Extensions. John Wiley & Sons, New York.
  • McLachlan, G. and Peel, G. J. (2000). Finite Mixture Models. John Wiley & Sons, New York.
  • Moustaki, I. (2000). A latent variable model for ordinal data. Applied Psychological Measurement, 24, 211–223.
  • Moustaki, I. (2003). A general class of latent variable model for ordinal manifest variables with covariate effects on the manifest and latent variables. British Journal of Mathematical and Statistical Psychology, 56, 337–357.
  • Nelder, J. A. and Wedderburn, R. W. M. (1972). Generalized linear models. Journal of the Royal Statistical Society, Series A, 135, 370–384.
  • Noe, F. P. and Uysal, M. (1997). Evaluation of outdoor recreational settings. A problem of measuring user satisfaction. Journal of Retailing and Consumer Services, 4(4), 223–230.
  • Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63, 33–44.
  • Oliver, R. L. and Swan J. E. (1989). Consumer perceptions of interpersonal equity and satisfaction in transactions: a field survey approach. Journal of Marketing, 53, 21–35.
  • Pearce, P. L. (1982). The Social Psychology of Tourist Behavior. Pergamon Press, Oxford.
  • Piccolo, D. (2003). On the moments of a mixture of Uniform and shifted Binomial random variables. Quaderni di Statistica, 5, 85–104.
  • Piccolo, D. (2006). Observed information matrix for MUB models. Quaderni di Statistica, 8, 33–78.
  • Piccolo, D. and D’Elia, A. (2008). A new approach for modelling consumers’ preferences. Food Quality and Preference, 19(3), 247–259.
  • Rao, C. R. (1973). Linear Statistical Inference and Its Applications (2nd edition). John Wiley & Sons, New York.
  • Sirgy, M. J. (1984). A social cognition model of consumer satisfaction/dissatisfaction: an experiment. Psychology & Marketing, 1, 27–44.
  • Train, K. E. (2003). Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge.
  • Tse D. K. and Wilton, I.C. (1988). Models of consumer satisfaction formation: an extension. Journal of Marketing Research, 15, 204–212.

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