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Logistic Regression Applied to Airport Customer Satisfaction Using Hierarchical Quality Model

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7435))

Abstract

This study was conducted to evaluate the customer satisfaction as passengers at Augusto Severo International Airport in Parnamirim - RN in order to identify the dimensions which most contribute to the result of assessing the overall passenger satisfaction. It was made a literature review to serve as basis for the research from the model by Brady and Cronin so as to measure the level of satisfaction with the quality of services provided based on their temporal and spatial coverage and related to air transport system, which is the same used as the reference model. Results have shown that the determinant dimensions are significant for the explanation of the overall satisfaction, based on the application of logistic regression. The formulated statistical model was revealed to be well adjusted and able to explain the behavior of passenger satisfaction. The main problems identified were: attitude of staff, concept of facilities and waiting time, in addition to limitations and suggestions for improvements which were approached.

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References

  1. Goebel, M., Gruenwald, L.: A survey of data mining and knowledge discovery software tools. ACM SIGKDD 1(1), 20–33 (1999)

    Article  Google Scholar 

  2. Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From Data Mining to Knowledge Discovery: An Overview. In: Advances in Knowledge Discovery and Data Mining, vol. 611, pp. 11–34. AAAI Press, Menlo Park (1996)

    Google Scholar 

  3. Brady, M.K., Cronin, J.J.: Some New Thoughts on Conceptualizing Perceived Service Quality: A Hierarchical Approach. Journal of Marketing 65, 34–49 (2001)

    Article  Google Scholar 

  4. Chau, V.S., Kao, Y.: Bridge over troubled water or long and winding road? Gap-5 in airline service quality performance measures. Managing Service Quality 19(1), 106–134 (2009)

    Article  Google Scholar 

  5. Fodness, D., Murray, B.: Passengers’ expectations of airport service quality. Journal of Services Marketing 21, 492–506 (2007)

    Article  Google Scholar 

  6. Malhotra, N.K.: Pesquisa de Marketing: uma orientação aplicada, 3rd edn. Bookman, Porto Alegre (2001)

    Google Scholar 

  7. Larson, R., Faber, B.: Estatística Aplicada, 4th edn. Pearson, São Paulo (2010)

    Google Scholar 

  8. Harrison, T.H.: Intranet Data Warehouse. Berkeley Brasil, São Paulo (1998)

    Google Scholar 

  9. Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E.: Análise Multivariada de Dados, 6th edn. Bookman, São Paulo (2009)

    Google Scholar 

  10. Johnson, R.A., Wichern, D.W.: Applied Multivariate Statistical Analysis. Prentice Hall, New Jersey (2002)

    Google Scholar 

  11. Menard, S.: Applied Logistic Regression Analysis. Sage University Papers Series on Quantitative Applications in the Social Sciences, 07–106. Sage, Thousand Oaks (2002)

    Google Scholar 

  12. Mattozo, T.C., Silva, G.S., Neto, A.P.F., Costa, J.A.F.: Application of adaptive model Fodness and Murry the evaluation of passenger satisfaction in Augusto Severo international airport using multivariate regression. In: 9th CONTECSI International Conference on Information System and Tecnology, Brazil (to appear, 2012)

    Google Scholar 

  13. Hosmer, D., Lemeshow, S.W.: Applied Logistic Regression. Wiley, New York (2000)

    Book  MATH  Google Scholar 

  14. Walter, S.A., Tontini, G., Gomes, L., Silva, W.V., Frega, J.R.: Student Loyalty: a logistic regression model. Revista de Administração FACES Jounal 10(4), 129–151 (2010)

    Google Scholar 

  15. Larose, D.T.: Data Mining Methods and Models. John Wiley & Sons, Inc. (2006)

    Google Scholar 

  16. Pampel, F.C.: Logistic Regression - A primer. Sage University Papers Series on Quantitative Applications in the Social Sciences, 07–132. Sage, Thousand Oaks (2000)

    Google Scholar 

  17. SPSS, Inc. SPSS Versions 17.0 for Windows. SPSS Inc., Chicago (2009)

    Google Scholar 

  18. Fávero, L.P., Belfiore, P., Silva, F.L., Chan, B.L.: Análise de Dados: modelagem multivariada para tomada de decisão, 1st edn. Campus, Rio de Janeiro (2009)

    Google Scholar 

  19. Norusis, M.: SPSS 13.0 Guide to Data Analysis. Prentice Hall, Upper Saddle-River (2004)

    Google Scholar 

  20. Tabachnick, B.G., Fidell, L.S.: Using multivariate statistics. Allyn & Bacon, Needham Heights (2001)

    Google Scholar 

  21. Moital, M., Dias, R.: Determinantes da Satisfação do Turista de Golfe em Lisboa: uma Comparação entre Britânicos e Nórdicos. In: III Congresso Internacional de Turismo de Leiria e Oeste, Portugal (2009), http://cassiopeia.esel.ipleiria.pt/esel_eventos/files/3903_16_MiguelMoital_4bf56a9848710.pdf (acess. in November 16, 2011)

  22. Kleinbaum, D.G.: Logistic Regression: A self-Learning Text. Nova Iorque, 282 p. Springer (1994)

    Google Scholar 

  23. Field, A.: Discovering statistics. Using SPSS for Windows: Advanced techniques for beginners. Sage, Londres (2000)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Mattozo, T.C., da Silva, G.S., Neto, A.P.F., Costa, J.A.F. (2012). Logistic Regression Applied to Airport Customer Satisfaction Using Hierarchical Quality Model. In: Yin, H., Costa, J.A.F., Barreto, G. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2012. IDEAL 2012. Lecture Notes in Computer Science, vol 7435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32639-4_68

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  • DOI: https://doi.org/10.1007/978-3-642-32639-4_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32638-7

  • Online ISBN: 978-3-642-32639-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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