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Ein Ansatz zur simultanen Messung von Kannibalisierungs-, substitutiven Konkurrenz- und Neukäufereffekten am Beispiel von line extensions

Author

Listed:
  • Hans H. Bauer

    (Universität Mannheim)

  • Marc Fischer

    (McKinsey & Company)

Abstract

Summary The position of line extensions as a product policy option remains unchallenged. Estimates of their share in new product launches in consumer goods markets range from 80 to 95%. A problem that will always be connected with the introduction of a line extension is cannibalization. But not only the extent of cannibalization is important. The sales of each product can be split into the three components, competitive substitution, cannibalization, and primary demand. The authors propose a simple method of decomposing line extension sales. The individual sales components can be measured with least squares techniques which is shown with an empirical study on line extensions in the market for pharmaceuticals.

Suggested Citation

  • Hans H. Bauer & Marc Fischer, 2001. "Ein Ansatz zur simultanen Messung von Kannibalisierungs-, substitutiven Konkurrenz- und Neukäufereffekten am Beispiel von line extensions," Schmalenbach Journal of Business Research, Springer, vol. 53(5), pages 455-477, August.
  • Handle: RePEc:spr:sjobre:v:53:y:2001:i:5:d:10.1007_bf03372655
    DOI: 10.1007/BF03372655
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    References listed on IDEAS

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    1. John A. Norton & Frank M. Bass, 1987. "A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products," Management Science, INFORMS, vol. 33(9), pages 1069-1086, September.
    2. Gregory S. Carpenter & Lee G. Cooper & Dominique M. Hanssens & David F. Midgley, 1988. "Modeling Asymmetric Competition," Marketing Science, INFORMS, vol. 7(4), pages 393-412.
    3. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    4. Hsiao, Cheng, 1975. "Some Estimation Methods for a Random Coefficient Model," Econometrica, Econometric Society, vol. 43(2), pages 305-325, March.
    5. Mary W. Sullivan, 1992. "Brand Extensions: When to Use Them," Management Science, INFORMS, vol. 38(6), pages 793-806, June.
    6. Marcel L. Corstjens & David A. Gautschi, 1983. "Formal Choice Models in Marketing," Marketing Science, INFORMS, vol. 2(1), pages 19-56.
    7. Sunder Kekre & Kannan Srinivasan, 1990. "Broader Product Line: A Necessity to Achieve Success?," Management Science, INFORMS, vol. 36(10), pages 1216-1232, October.
    8. Kerin, Roger A. & Harvey, Michael G. & Rothe, James T., 1978. "Cannibalism and new product development," Business Horizons, Elsevier, vol. 21(5), pages 25-31, October.
    9. Gurumurthy Kalyanaram & Glen L. Urban, 1992. "Dynamic Effects of the Order of Entry on Market Share, Trial Penetration, and Repeat Purchases for Frequently Purchased Consumer Goods," Marketing Science, INFORMS, vol. 11(3), pages 235-250.
    10. Maddala, G S, 1971. "The Likelihood Approach to Pooling Cross-Section and Time-Series Data," Econometrica, Econometric Society, vol. 39(6), pages 939-953, November.
    11. Timothy M. Devinney & David W. Stewart, 1988. "Rethinking the Product Portfolio: A Generalized Investment Model," Management Science, INFORMS, vol. 34(9), pages 1080-1095, September.
    12. Maddala, G S, 1971. "The Use of Variance Components Models in Pooling Cross Section and Time Series Data," Econometrica, Econometric Society, vol. 39(2), pages 341-358, March.
    13. Mason, Charlotte H. & Milne, George R., 1994. "An approach for identifying cannibalization within product line extensions and multi-brand strategies," Journal of Business Research, Elsevier, vol. 31(2-3), pages 163-170.
    14. Lynn O. Wilson & John A. Norton, 1989. "Optimal Entry Timing for a Product Line Extension," Marketing Science, INFORMS, vol. 8(1), pages 1-17.
    15. Birger Wernerfelt, 1988. "Umbrella Branding as a Signal of New Product Quality: An Example of Signalling by Posting a Bond," RAND Journal of Economics, The RAND Corporation, vol. 19(3), pages 458-466, Autumn.
    16. K. Sridhar Moorthy & I. P. L. Png, 1992. "Market Segmentation, Cannibalization, and the Timing of Product Introductions," Management Science, INFORMS, vol. 38(3), pages 345-359, March.
    17. Carpenter, Gregory S. & Hanssens, Dominique M., 1994. "Market expansion, cannibalization, and international airline pricing strategy," International Journal of Forecasting, Elsevier, vol. 10(2), pages 313-326, September.
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    More about this item

    Keywords

    C23; C51; C52; H31;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household

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