Abstract
This study investigated the predicted moderating effect of satisfaction on the association between the attractiveness of the alternative relationship and exit intention in a marketing channel. The study used a variation of the Kenny and Judd structural equation technique proposed by the author. The results suggested that for channel customers with lower satisfaction, alternative attractiveness was positively associated with exit intention. When satisfaction was higher, however, alternative attractiveness had no association with exit intention. The implications of these results are discussed.
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Aiken, Leona S. and Stephen G. West. 1991.Multiple Regression: Testing and Interpreting Interactions. Newbury Park, CA: Sage.
Anderson, James C. and David W. Gerbing. 1988. “Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach.”Psychological Bulletin 103 (May): 411–423.
Anderson, James C., David W. Gerbing, and John E. Hunter. 1987. “On the Assessment of Unidimensional Measurement: Internal and External Consistency, and Overall Consistency Criteria.”Journal of Marketing Research 24 (November): 432–437.
Anderson, Theodore W. and Yasuo Amemiya. 1985. “The Asymptotic Normal Distribution of Estimators in Factor Analysis under General Conditions.” Technical Report 12. Econometric Workshop. Stanford University.
-----. 1986. “Asymptomatic Distribution in Factor Analysis and Linear Structural Relations.” Technical Report 18. Econometric Workshop. Stanford University.
Bentler, Peter M. 1989.EQS Structural Equations Program Manual. Los Angeles: BMDP Statistical Software.
Bollen, Kenneth A. 1989.Structural Equations with Latent Variables. New York: Wiley.
Boomsma, Anne. 1983.On the Robustness of LISREL (Maximum Likelihood Estimation) against Small Sample Size and Nonnormality. Dissertation. University of Groningen.
Browne, Michael W. 1987. “Robustness of Statistical Inference in Factor Analysis and Related Models.”Biometrika 74 (June): 375–384.
Busemeyer, Jerome R. and Lawrence E. Jones. 1983. “Analysis of Multiplicative Combination Rules When the Causal Variables Are Measured with Error.”Psychological Bulletin 93 (May): 549–562.
Davidow, William H. and Bro Uttal. 1989.Total Customer Service. New York: Harper.
Dwyer, F. Robert and Sejo Oh. 1987. “Output Sector Munificence Effects on the Internal Political Economy of Marketing Channels.”Journal of Marketing Research 24 (November): 347–358.
Dwyer, F. Robert, Paul H. Schurr, and Sejo Oh. 1987. “Developing Buyer-Seller Relationships.”Journal of Marketing 51 (April): 11–27.
Ford, David I. 1980. “The Development of Buyer-Seller Relations in Industrial Markets.”European Journal of Marketing 14(5/6): 339–353.
Fornell, Claes and David F. Larker. 1981. “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error.”Journal of Marketing Research 18 (February): 39–50.
Gadde, Lars-Erik and Lars-Gunnar Mattsson. 1987. “Stability and Change in Network Relationships.”International Journal of Research in Marketing 4(1): 29–41.
Gaski, John and John R. Nevin. 1985. “The Differential Effects of Exercised and Unexercised Power Sources in a Marketing Channel.”Journal of Marketing Research 12 (May): 130–142.
Gerbing, David W. and James C. Anderson. 1984. “An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment.”Journal of Marketing Research 25 (May): 186–192.
Harlow, Lawrence L. 1985.Behavior of Some Elliptical Theory Estimators with Nonnormal Data in a Covariance Structures Framework: A Monte Carlo Study. Dissertation. University of California, Los Angeles.
Hayduk, Leslie A. 1987.Structural Equation Modeling with LISREL: Essential and Advances. Baltimore, MD: Johns Hopkins University Press.
Hu, Li-tze, Peter M. Bentler, and Yutaka Kano. 1992. “Can Test Statistics in Covariance Structure Analysis Be Trusted?”Psychological Bulletin 112 (September): 351–362.
Hunter, John E. 1973. “Methods for Reordering the Correlation Matrix to Facilitate Visual Inspection and Preliminary Cluster Analysis.”Journal of Educational Measurement 10 (Spring): 51–61.
Jöreskog, Karl G. 1993. “Testing Structural Equation Models.” InTesting Structural Equation Models. Eds. Kenneth A. Bollen and J. Scott Long. Newbury Park, CA: Sage, 294–316.
Jöreskog, Karl G. and Dag Sörbom. 1989.LISREL 7: A Guide to the Program and Applications. Second Edition. Chicago: SPSS Inc.
Kenny, David and Charles M. Judd. 1984. “Estimating the Nonlinear and Interactive Effects of Latent Variables.”Psychological Bulletin 96 (July): 201–210.
Ping, Robert A., Jr. 1993a. “The Effects of Satisfaction and Structural Constraints on Retailer Exiting, Voice, Loyalty, Opportunism, and Neglect.”Journal of Retailing 69 (Fall): 320–352.
-----. 1993b. “Latent Variable Interaction and Quadratic Effect Estimation: A Suggested Approach.” Technical Report. Wright State University.
Ping, Robert A. and F. Robert Dwyer. 1991. “A Preliminary Model of Relationship Termination in Marketing Channels.” InAdvances in Distribution Channel Research. Ed. Gary Frazier. Greenwich, CT: JAI, 215–233.
Rukert, Robert W. and Gilbert A. Churchill. 1984. “Reliability and Validity of Alternative Measures of Channel Member Satisfaction.”Journal of Marketing Research 21 (May): 226–233.
Satorra, Albert and Peter M. Bentler. 1988. “Scaling Corrections for Chi-squared Statistics in Covariance Structure Analysis.”Proceedings of the American Statistical Association. Alexandria, VA.
Sharma, Subhash, Srinivas Durvasula, and William R. Dillon. 1989. “Some Results on the Behavior of Alternative Covariance Structure Estimation Procedures in the Presence of Nonnormal Data.”Journal of Marketing Research 26 (May): 214–221.
Tanaka, Jeffrey S. 1984.Some Results on the Estimation of Covariance Structure Models. Dissertation. University of California, Los Angeles.
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He obtained his Ph.D. at the University of Cincinnati. His research interests include the political economy of marketing channels and nonlinear estimation for latent variables.
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Ping, R.A. Does satisfaction moderate the association between alternative attractiveness and exit intention in a marketing channel?. JAMS 22, 364–371 (1994). https://doi.org/10.1177/0092070394224005
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DOI: https://doi.org/10.1177/0092070394224005