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An investigation of the impact of promotions on across-submarket competition

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  • Kannan, P. K.
  • Yim, Chi Kin (Bennett)

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  • Kannan, P. K. & Yim, Chi Kin (Bennett), 2001. "An investigation of the impact of promotions on across-submarket competition," Journal of Business Research, Elsevier, vol. 53(3), pages 137-149, September.
  • Handle: RePEc:eee:jbrese:v:53:y:2001:i:3:p:137-149
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    References listed on IDEAS

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    1. P. K. Kannan & Gordon P. Wright, 1991. "Modeling and Testing Structured Markets: A Nested Logit Approach," Marketing Science, INFORMS, vol. 10(1), pages 58-82.
    2. Gaundry, Marc J. I. & Dagenais, Marcel G., 1979. "The dogit model," Transportation Research Part B: Methodological, Elsevier, vol. 13(2), pages 105-111, June.
    3. D'Andrade, Kendall, 1992. "The End of an Era," Business Ethics Quarterly, Cambridge University Press, vol. 2(3), pages 379-389, July.
    4. Robert C. Blattberg & Kenneth J. Wisniewski, 1989. "Price-Induced Patterns of Competition," Marketing Science, INFORMS, vol. 8(4), pages 291-309.
    5. Rajiv Grover & William R. Dillon, 1985. "A Probabilistic Model For Testing Hypothesized Hierarchical Market Structures," Marketing Science, INFORMS, vol. 4(4), pages 312-335.
    6. Glen L. Urban & Philip L. Johnson & John R. Hauser, 1984. "Testing Competitive Market Structures," Marketing Science, INFORMS, vol. 3(2), pages 83-112.
    7. Swait, Joffre & Ben-Akiva, Moshe, 1987. "Incorporating random constraints in discrete models of choice set generation," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 91-102, April.
    8. Rao, Vithala R & Sabavala, Darius Jal, 1981. "Inference in Hierarchical Choice Processes from Panel Data," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(1), pages 85-96, June.
    9. Manohar U. Kalwani & Donald G. Morrison, 1977. "A Parsimonious Description of the Hendry System," Management Science, INFORMS, vol. 23(5), pages 467-477, January.
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    Cited by:

    1. Juan C. Gázquez-Abad & Manuel Sánchez-Pérez, 2009. "Factors influencing olive oil brand choice in Spain: an empirical analysis using scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 25(1), pages 36-55.
    2. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, December.
    3. Nchare, Karim, 2021. "Dogit model and rational inattention," Economics Letters, Elsevier, vol. 205(C).
    4. Jorge Mejia & Anandasivam Gopal & Michael Trusov, 2020. "Deal or No Deal? Online Deals, Retailer Heterogeneity, and Brand Evaluations in a Competitive Environment," Information Systems Research, INFORMS, vol. 31(4), pages 1087-1106, December.
    5. Dawes, John, 2022. "Factors that influence manufacturer and store brand behavioral loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    6. Tim R.L. Fry & Mark N. Harris, 2002. "The DOGEV Model," Monash Econometrics and Business Statistics Working Papers 7/02, Monash University, Department of Econometrics and Business Statistics.

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