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Practice Prize Reports

Author

Listed:
  • Ashish Sinha

    (School of Marketing and International Business, Victoria University of Wellington, Wellington, New Zealand)

  • J. Jeffrey Inman

    (Katz Graduate School of Business, University of Pittsburgh, 356 Mervis Hall, Pittsburgh, Pennsylvania 15260)

  • Yantao Wang

    (ACNielsen, 2700 Patriot Boulevard, Suite 250, Glenview, Illinois 60025-8025)

  • Joonwook Park

    (Smeal College of Business Administration, Pennsylvania State University, University Park, Pennsylvania 16802)

  • Gerard J. Tellis

    (Marshall School of Business, University of Southern California, Los Angeles, California 90089)

  • Rajesh K. Chandy

    (Carlson School of Management, University of Minnesota, Minneapolis, Minnesota 55455)

  • Deborah MacInnis

    (Marshall School of Business, University of Southern California, Los Angeles, California 90089)

  • Pattana Thaivanich

    (Hawaiikiki LLC, 10220 31st Avenue N, Plymouth, Minnesota 55441)

Abstract

The Practice Prize Reports consist of one article with two parts as follows: “Sinha, Ashish, J. Jeffrey Inman, Yantao Wang, Joonwook Park. Attribute drivers: A factor analytic choice map approach for understanding choices among SKUs” and “Tellis, Gerard J., Rajesh K. Chandy, Deborah MacInnis, Pattana Thaivanich. “Modeling the microeffects of television advertising: Which ad works, when, where, for how long, and why?”

Suggested Citation

  • Ashish Sinha & J. Jeffrey Inman & Yantao Wang & Joonwook Park & Gerard J. Tellis & Rajesh K. Chandy & Deborah MacInnis & Pattana Thaivanich, 2005. "Practice Prize Reports," Marketing Science, INFORMS, vol. 24(3), pages 351-366, September.
    • Handle: RePEc:inm:ormksc:v:24:y:2005:i:3:p:351-366
    DOI: 10.1287/mksc.1050.0159
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    References listed on IDEAS

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    1. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    2. John H. Roberts & Charles J. Nelson & Pamela D. Morrison, 2005. "A Prelaunch Diffusion Model for Evaluating Market Defense Strategies," Marketing Science, INFORMS, vol. 24(1), pages 150-164, August.
    3. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    4. Anthony Dukes & Esther Gal–Or, 2003. "Negotiations and Exclusivity Contracts for Advertising," Marketing Science, INFORMS, vol. 22(2), pages 222-245, November.
    5. Koen Pauwels, 2004. "How Dynamic Consumer Response, Competitor Response, Company Support, and Company Inertia Shape Long-Term Marketing Effectiveness," Marketing Science, INFORMS, vol. 23(4), pages 596-610, June.
    6. Rick L. Andrews & Ajay K. Manrai, 1999. "MDS Maps for Product Attributes and Market Response: An Application to Scanner Panel Data," Marketing Science, INFORMS, vol. 18(4), pages 584-604.
    7. Harald J. van Heerde & Peter S. H. Leeflang & Dick R. Wittink, 2004. "Decomposing the Sales Promotion Bump with Store Data," Marketing Science, INFORMS, vol. 23(3), pages 317-334, December.
    8. Elrod, Terry & Keane, Michael, 1995. "A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data," MPRA Paper 52434, University Library of Munich, Germany.
    9. Demetrios Vakratsas & Fred M. Feinberg & Frank M. Bass & Gurumurthy Kalyanaram, 2004. "The Shape of Advertising Response Functions Revisited: A Model of Dynamic Probabilistic Thresholds," Marketing Science, INFORMS, vol. 23(1), pages 109-119, April.
    10. Randolph E. Bucklin & Sunil Gupta, 1999. "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives," Marketing Science, INFORMS, vol. 18(3), pages 247-273.
    11. Leonard M. Lodish & Magid M. Abraham & Jeanne Livelsberger & Beth Lubetkin & Bruce Richardson & Mary Ellen Stevens, 1995. "A Summary of Fifty-Five In-Market Experimental Estimates of the Long-Term Effect of TV Advertising," Marketing Science, INFORMS, vol. 14(3_supplem), pages 133-140.
    12. Bibek Banerjee & Subir Bandyopadhyay, 2003. "Advertising Competition Under Consumer Inertia," Marketing Science, INFORMS, vol. 22(1), pages 131-144, January.
    13. Inman, J Jeffrey, 2001. "The Role of Sensory-Specific Satiety in Attribute-Level Variety Seeking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 105-120, June.
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    Cited by:

    1. Dean C. H. Wilkie & Lester W. Johnson & Wynne W. Chin, 2018. "Does the type of attribute matter? Examining whether underlying factors explain product attribute preference," Journal of Brand Management, Palgrave Macmillan, vol. 25(4), pages 305-321, July.

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