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AN EMPRICAL INVESTIGATION OF CUSTOMER SATISFACTION

Year 2012, Volume: 2 Issue: 2, 1 - 8, 23.07.2016

Abstract

This research has proposed a conceptual framework to investigate the effects of customers’ perceived service quality and perceived product quality on customer satisfaction. To test the conceptual framework, structural equation modeling has been used to analyze the data collected from 1530 customers shopping from 102 stores belonging to four Turkish supermarket chains in Istanbul. The results of the study indicate that perceived service quality and perceived product quality are significantly related to customer satisfaction. Customer Satisfaction Index was also obtained and investigated according to supermarket chains

References

  • Bagozzi, R.P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74-94
  • Bentler, P.M, & Bonett, D.G. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107 (2), 238-46.
  • Bloemer, J., & Schroder, G. (2002). Store satisfaction and store loyalty explained by customer and store related factors. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 15,68-80.
  • Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230- 258.
  • Cattell, R. B. (1978). The scientific use of factor analysis in behavioral and life sciences. New York, NY: Plenum Press
  • Cronin J. J., Brady, M. K. , Hult G. T. M. (2000). Assessing the Effects of Quality, Value and Customer Satisfaction on Consumer Behavioral Intentions in Service Environments, Journal of Retailing. 76 (2), 193-218.
  • Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience, Journal ofMarketing, 56(1), 1–18.
  • Fornell, C., Johnson, M., Anderson, E.W.,Cha, J.,& Bryant, B.E. (1996). The American Customer Satisfaction Index: Nature, purpose, and findings, Journal of Marketing 60(4), 7-18.
  • Glorfeld, L.W. (1995). An improvement on Horn’s parallel analysis methodology for selecting the correct number of factors to retain. Educational and Psychological Measurement, 55, 377-393
  • Gómez, M.I., McLaughlin, E.W., & Wittink, D.R. (2004).Customer satisfaction and retail sales performance: an empirical investigation, Journal of Retailing, 80(4): 265-278.
  • Guttman, L. (1954). Some necessary conditions for common-factor analysis. Psychometrika, 19, 149–161.
  • Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179-185.
  • Jöreskog, K.G., & Sörbom, D. (1993). LISREL 8: A guide to the program and applications. Chicago, IL: Scientific Software International.
  • Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151.
  • Lovelock, C. (2001). A retrospective commentary on the article new tools for achieving service quality Cornell Hotel Restaurant Administration Quarterly, Vol. 42 (4).
  • Mak, B.L., & Sockel, H. (2001). A confirmatory factor analysis of IS employee motivation and retention, Information and Management, 38, 265-76.
  • Menon, K., & Dubé, L. (2000). Engineering effective interpersonal responses to consumer emotions for higher satisfaction, Journal of Retailing, 76 (3), 285–307.
  • Noyan, F.,& Şimşek,G.G. Structural Determinants of Customer Satisfaction in Loyalty Models: Turkish Retail Supermarkets. Procedia-Social and Behavioral Sciences Journal ( Accepted for publication purpose)
  • O'Connor, B. P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instruments, & Computers, 32, 396-402.
  • Okumuş A., & Temizler, Z. (2006). Süpermarket müşterilerinin mağzaya olan bağımlılık derecelerine göre pazar bölümlerinin tanımlanması ve bölümler arasındaki farklılıkların incelenmesi. Yönetim,17(54), 46-61.
  • Oliver, Richard L. (1989). Processing of the Satisfaction Response in Consumption. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behaviour, 2, 1-16.
  • Preacher, K.J., & MacCallum, R.C. (2003). Repairing Tom Swift’s electric factor analysis machine. Understanding Statistics, 2, 13-43
  • Sirohi N., Mclaughlin E.W., Wittink D.R.(1998). A Model of Consumer Perceptions and Store Loyalty Intentions for a Supermarket Retailer. Journal of Retailing. 74(2).223-245.
  • Şimşek, G. G., & Noyan, F. (2012). McDonald’s ωt , Cronbach’s α, and generalized θ for composite reliability of common factors structures. Communication in Statistics: Simulation & Computation, accepted.
  • Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321- 327.
  • Wood, J. M., Tataryn, D. J., & Gorsuch, R. L. (1996). Effects of under- and overextraction on principal axis factor analysis with varimax rotation. Psychological Methods, 1, 254-365.
  • Zwick, W. R., & Velicer, W. F. (1982). Factors influencing four rules for determining the number of components to retain. Multivariate Behavioral Research, 17, 253-269.
  • Zwick, W. R., & Velicer, W. F. (1986). Comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432-442
Year 2012, Volume: 2 Issue: 2, 1 - 8, 23.07.2016

Abstract

References

  • Bagozzi, R.P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74-94
  • Bentler, P.M, & Bonett, D.G. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107 (2), 238-46.
  • Bloemer, J., & Schroder, G. (2002). Store satisfaction and store loyalty explained by customer and store related factors. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 15,68-80.
  • Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230- 258.
  • Cattell, R. B. (1978). The scientific use of factor analysis in behavioral and life sciences. New York, NY: Plenum Press
  • Cronin J. J., Brady, M. K. , Hult G. T. M. (2000). Assessing the Effects of Quality, Value and Customer Satisfaction on Consumer Behavioral Intentions in Service Environments, Journal of Retailing. 76 (2), 193-218.
  • Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience, Journal ofMarketing, 56(1), 1–18.
  • Fornell, C., Johnson, M., Anderson, E.W.,Cha, J.,& Bryant, B.E. (1996). The American Customer Satisfaction Index: Nature, purpose, and findings, Journal of Marketing 60(4), 7-18.
  • Glorfeld, L.W. (1995). An improvement on Horn’s parallel analysis methodology for selecting the correct number of factors to retain. Educational and Psychological Measurement, 55, 377-393
  • Gómez, M.I., McLaughlin, E.W., & Wittink, D.R. (2004).Customer satisfaction and retail sales performance: an empirical investigation, Journal of Retailing, 80(4): 265-278.
  • Guttman, L. (1954). Some necessary conditions for common-factor analysis. Psychometrika, 19, 149–161.
  • Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179-185.
  • Jöreskog, K.G., & Sörbom, D. (1993). LISREL 8: A guide to the program and applications. Chicago, IL: Scientific Software International.
  • Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151.
  • Lovelock, C. (2001). A retrospective commentary on the article new tools for achieving service quality Cornell Hotel Restaurant Administration Quarterly, Vol. 42 (4).
  • Mak, B.L., & Sockel, H. (2001). A confirmatory factor analysis of IS employee motivation and retention, Information and Management, 38, 265-76.
  • Menon, K., & Dubé, L. (2000). Engineering effective interpersonal responses to consumer emotions for higher satisfaction, Journal of Retailing, 76 (3), 285–307.
  • Noyan, F.,& Şimşek,G.G. Structural Determinants of Customer Satisfaction in Loyalty Models: Turkish Retail Supermarkets. Procedia-Social and Behavioral Sciences Journal ( Accepted for publication purpose)
  • O'Connor, B. P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instruments, & Computers, 32, 396-402.
  • Okumuş A., & Temizler, Z. (2006). Süpermarket müşterilerinin mağzaya olan bağımlılık derecelerine göre pazar bölümlerinin tanımlanması ve bölümler arasındaki farklılıkların incelenmesi. Yönetim,17(54), 46-61.
  • Oliver, Richard L. (1989). Processing of the Satisfaction Response in Consumption. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behaviour, 2, 1-16.
  • Preacher, K.J., & MacCallum, R.C. (2003). Repairing Tom Swift’s electric factor analysis machine. Understanding Statistics, 2, 13-43
  • Sirohi N., Mclaughlin E.W., Wittink D.R.(1998). A Model of Consumer Perceptions and Store Loyalty Intentions for a Supermarket Retailer. Journal of Retailing. 74(2).223-245.
  • Şimşek, G. G., & Noyan, F. (2012). McDonald’s ωt , Cronbach’s α, and generalized θ for composite reliability of common factors structures. Communication in Statistics: Simulation & Computation, accepted.
  • Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321- 327.
  • Wood, J. M., Tataryn, D. J., & Gorsuch, R. L. (1996). Effects of under- and overextraction on principal axis factor analysis with varimax rotation. Psychological Methods, 1, 254-365.
  • Zwick, W. R., & Velicer, W. F. (1982). Factors influencing four rules for determining the number of components to retain. Multivariate Behavioral Research, 17, 253-269.
  • Zwick, W. R., & Velicer, W. F. (1986). Comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432-442
There are 28 citations in total.

Details

Other ID JA56SE62EB
Journal Section Articles
Authors

Fatma Noyan This is me

Gülhayat Gölbaşı Şimşek This is me

Publication Date July 23, 2016
Published in Issue Year 2012 Volume: 2 Issue: 2

Cite

APA Noyan, F., & Şimşek, G. G. (2016). AN EMPRICAL INVESTIGATION OF CUSTOMER SATISFACTION. TOJSAT, 2(2), 1-8.
AMA Noyan F, Şimşek GG. AN EMPRICAL INVESTIGATION OF CUSTOMER SATISFACTION. TOJSAT. July 2016;2(2):1-8.
Chicago Noyan, Fatma, and Gülhayat Gölbaşı Şimşek. “AN EMPRICAL INVESTIGATION OF CUSTOMER SATISFACTION”. TOJSAT 2, no. 2 (July 2016): 1-8.
EndNote Noyan F, Şimşek GG (July 1, 2016) AN EMPRICAL INVESTIGATION OF CUSTOMER SATISFACTION. TOJSAT 2 2 1–8.
IEEE F. Noyan and G. G. Şimşek, “AN EMPRICAL INVESTIGATION OF CUSTOMER SATISFACTION”, TOJSAT, vol. 2, no. 2, pp. 1–8, 2016.
ISNAD Noyan, Fatma - Şimşek, Gülhayat Gölbaşı. “AN EMPRICAL INVESTIGATION OF CUSTOMER SATISFACTION”. TOJSAT 2/2 (July 2016), 1-8.
JAMA Noyan F, Şimşek GG. AN EMPRICAL INVESTIGATION OF CUSTOMER SATISFACTION. TOJSAT. 2016;2:1–8.
MLA Noyan, Fatma and Gülhayat Gölbaşı Şimşek. “AN EMPRICAL INVESTIGATION OF CUSTOMER SATISFACTION”. TOJSAT, vol. 2, no. 2, 2016, pp. 1-8.
Vancouver Noyan F, Şimşek GG. AN EMPRICAL INVESTIGATION OF CUSTOMER SATISFACTION. TOJSAT. 2016;2(2):1-8.