IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v26y2007i3p327-341.html
   My bibliography  Save this article

Deconstructing Each Item's Category Contribution

Author

Listed:
  • Kirthi Kalyanam

    (Department of Marketing, Leavey School of Business, Santa Clara University, Santa Clara, California 95093)

  • Sharad Borle

    (Jones Graduate School of Management, Rice University, Houston, Texas 77252)

  • Peter Boatwright

    (Tepper School of Business, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213)

Abstract

Retailers and manufacturers believe that the mere presence of certain items in a retail assortment increases the sales volume of the whole assortment. This paper provides an empirical study of the role of every item in an assortment. Our results show that many items affect category sales over and above their own sales volume. After deconstructing the role of a stockout of individual items into three effects—lost own sales, substitution to other items, and the category sales impact—we find that the category impact has the largest magnitude. Interestingly, the disproportionate impact of individual items on category sales is not restricted to top-selling items, for almost every single individual item affects category sales. It seems that variety is indeed the price of entry in retailing. Our results support recent findings that more frequently purchased categories are less adversely affected by reductions in assortment. We also find that the assortment appears to gain attractiveness when certain items are out of stock, a result that is consistent with the discussion in the literature concerning category clutter.

Suggested Citation

  • Kirthi Kalyanam & Sharad Borle & Peter Boatwright, 2007. "Deconstructing Each Item's Category Contribution," Marketing Science, INFORMS, vol. 26(3), pages 327-341, 05-06.
  • Handle: RePEc:inm:ormksc:v:26:y:2007:i:3:p:327-341
    DOI: 10.1287/mksc.1070.0270
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.1070.0270
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.1070.0270?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Baohong Sun, 2005. "Promotion Effect on Endogenous Consumption," Marketing Science, INFORMS, vol. 24(3), pages 430-443, July.
    2. Kreps, David M, 1979. "A Representation Theorem for "Preference for Flexibility"," Econometrica, Econometric Society, vol. 47(3), pages 565-577, May.
    3. Ravi Anupindi & Maqbool Dada & Sachin Gupta, 1998. "Estimation of Consumer Demand with Stock-Out Based Substitution: An Application to Vending Machine Products," Marketing Science, INFORMS, vol. 17(4), pages 406-423.
    4. McAlister, Leigh & Pessemier, Edgar, 1982. "Variety Seeking Behavior: An Interdisciplinary Review," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 311-322, December.
    5. Galit Shmueli & Thomas P. Minka & Joseph B. Kadane & Sharad Borle & Peter Boatwright, 2005. "A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(1), pages 127-142, January.
    6. Boatwright, Peter & Borle, Sharad & Kadane, Joseph B., 2003. "A Model of the Joint Distribution of Purchase Quantity and Timing," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 564-572, January.
    7. Marshall Fisher & Kumar Rajaram & Ananth Raman, 2001. "Optimizing Inventory Replenishment of Retail Fashion Products," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 230-241, November.
    8. Kirthi Kalyanam & Daniel S. Putler, 1997. "Incorporating Demographic Variables in Brand Choice Models: An Indivisible Alternatives Framework," Marketing Science, INFORMS, vol. 16(2), pages 166-181.
    9. Stephen J. Hoch & Eric T. Bradlow & Brian Wansink, 1999. "The Variety of an Assortment," Marketing Science, INFORMS, vol. 18(4), pages 527-546.
    10. Sharad Borle & Peter Boatwright & Joseph B. Kadane & Joseph C. Nunes & Shmueli Galit, 2005. "The Effect of Product Assortment Changes on Customer Retention," Marketing Science, INFORMS, vol. 24(4), pages 616-622, July.
    11. Stephen A. Smith & Narendra Agrawal, 2000. "Management of Multi-Item Retail Inventory Systems with Demand Substitution," Operations Research, INFORMS, vol. 48(1), pages 50-64, February.
    12. Frank M. Bass & Anand Krishnamoorthy & Ashutosh Prasad & Suresh P. Sethi, 2005. "Generic and Brand Advertising Strategies in a Dynamic Duopoly," Marketing Science, INFORMS, vol. 24(4), pages 556-568, February.
    13. Vishal P. Singh & Karsten T. Hansen & Robert C. Blattberg, 2006. "Market Entry and Consumer Behavior: An Investigation of a Wal-Mart Supercenter," Marketing Science, INFORMS, vol. 25(5), pages 457-476, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sandeep R. Chandukala & Yancy D. Edwards & Greg M. Allenby, 2011. "Identifying Unmet Demand," Marketing Science, INFORMS, vol. 30(1), pages 61-73, 01-02.
    2. Miller, Christopher M. & Smith, Stephen A. & McIntyre, Shelby H. & Achabal, Dale D., 2010. "Optimizing and Evaluating Retail Assortments for Infrequently Purchased Products," Journal of Retailing, Elsevier, vol. 86(2), pages 159-171.
    3. Lin, Chen & Bowman, Douglas, 2022. "The impact of introducing a customer loyalty program on category sales and profitability," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    4. Andrés Musalem & Marcelo Olivares & Eric T. Bradlow & Christian Terwiesch & Daniel Corsten, 2010. "Structural Estimation of the Effect of Out-of-Stocks," Management Science, INFORMS, vol. 56(7), pages 1180-1197, July.
    5. Lee, Ha Kyung & Choo, Ho Jung, 2019. "Birds of a feather flocked together look abundant: The visual gestalt effect of an assortment presentation," Journal of Business Research, Elsevier, vol. 104(C), pages 170-182.
    6. Garrett van Ryzin & Gustavo Vulcano, 2015. "A Market Discovery Algorithm to Estimate a General Class of Nonparametric Choice Models," Management Science, INFORMS, vol. 61(2), pages 281-300, February.
    7. Elçin Ergin & Mehmet Gümüş & Nathan Yang, 2022. "An Empirical Analysis of Intra‐Firm Product Substitutability in Fashion Retailing," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 607-621, February.
    8. Huang, Tao & Fildes, Robert & Soopramanien, Didier, 2014. "The value of competitive information in forecasting FMCG retail product sales and the variable selection problem," European Journal of Operational Research, Elsevier, vol. 237(2), pages 738-748.
    9. Mamode Khan Naushad & Rumjaun Wasseem & Sunecher Yuvraj & Jowaheer Vandna, 2017. "Computing with bivariate COM-Poisson model under different copulas," Monte Carlo Methods and Applications, De Gruyter, vol. 23(2), pages 131-146, June.
    10. Sloot, Laurens M. & Verhoef, Peter C., 2008. "The Impact of Brand Delisting on Store Switching and Brand Switching Intentions," Journal of Retailing, Elsevier, vol. 84(3), pages 281-296.
    11. Khouja, Moutaz, 2016. "Late season low inventory assortment effects in the newsvendor problem," Omega, Elsevier, vol. 63(C), pages 123-133.
    12. Boyd, D. Eric & Bahn, Kenneth D., 2009. "When Do Large Product Assortments Benefit Consumers? An Information-Processing Perspective," Journal of Retailing, Elsevier, vol. 85(3), pages 288-297.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chang, Chingching, 2011. "The Effect of the Number of Product Subcategories on Perceived Variety and Shopping Experience in an Online Store," Journal of Interactive Marketing, Elsevier, vol. 25(3), pages 159-168.
    2. Yan, Huan & Chang, En-Chung & Chou, Ting-Jui & Tang, Xiaofei, 2015. "The over-categorization effect: How the number of categorizations influences shoppers' perceptions of variety and satisfaction," Journal of Business Research, Elsevier, vol. 68(3), pages 631-638.
    3. Beneke, Justin & Cumming, Alice & Jolly, Lindsey, 2013. "The effect of item reduction on assortment satisfaction—A consideration of the category of red wine in a controlled retail setting," Journal of Retailing and Consumer Services, Elsevier, vol. 20(3), pages 282-291.
    4. A. Gürhan Kök & Marshall L. Fisher, 2007. "Demand Estimation and Assortment Optimization Under Substitution: Methodology and Application," Operations Research, INFORMS, vol. 55(6), pages 1001-1021, December.
    5. Sharad Borle & Utpal M. Dholakia & Siddharth S. Singh & Robert A. Westbrook, 2007. "The Impact of Survey Participation on Subsequent Customer Behavior: An Empirical Investigation," Marketing Science, INFORMS, vol. 26(5), pages 711-726, 09-10.
    6. Mantrala, Murali K. & Levy, Michael & Kahn, Barbara E. & Fox, Edward J. & Gaidarev, Peter & Dankworth, Bill & Shah, Denish, 2009. "Why is Assortment Planning so Difficult for Retailers? A Framework and Research Agenda," Journal of Retailing, Elsevier, vol. 85(1), pages 71-83.
    7. Vakeel, Khadija Ali & Fudurić, Morana & Malthouse, Edward C., 2021. "Extending variety seeking to multi-sided platforms: Impact of new retailer listing," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    8. Miller, Christopher M. & Smith, Stephen A. & McIntyre, Shelby H. & Achabal, Dale D., 2010. "Optimizing and Evaluating Retail Assortments for Infrequently Purchased Products," Journal of Retailing, Elsevier, vol. 86(2), pages 159-171.
    9. Mamode Khan Naushad & Rumjaun Wasseem & Sunecher Yuvraj & Jowaheer Vandna, 2017. "Computing with bivariate COM-Poisson model under different copulas," Monte Carlo Methods and Applications, De Gruyter, vol. 23(2), pages 131-146, June.
    10. Wiebach, Nicole & Hildebrandt, Lutz, 2010. "Context effects as customer reaction on delisting of brands," SFB 649 Discussion Papers 2010-056, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    11. Hickman, William & Mortimer, Julie Holland, 2016. "Demand Estimation with Availability Variation," SocArXiv qe69j, Center for Open Science.
    12. Shin, Hojung & Park, Soohoon & Lee, Euncheol & Benton, W.C., 2015. "A classification of the literature on the planning of substitutable products," European Journal of Operational Research, Elsevier, vol. 246(3), pages 686-699.
    13. Emrich, Oliver & Paul, Michael & Rudolph, Thomas, 2015. "Shopping Benefits of Multichannel Assortment Integration and the Moderating Role of Retailer Type," Journal of Retailing, Elsevier, vol. 91(2), pages 326-342.
    14. Anocha Aribarg & Neeraj Arora, 2008. "—Interbrand Variant Overlap: Impact on Brand Preference and Portfolio Profit," Marketing Science, INFORMS, vol. 27(3), pages 474-491, 05-06.
    15. Jonah Berger & Michaela Draganska & Itamar Simonson, 2007. "The Influence of Product Variety on Brand Perception and Choice," Marketing Science, INFORMS, vol. 26(4), pages 460-472, 07-08.
    16. Patxi J. Bernales & Yongtao Guan & Harihara Prasad Natarajan & Patricia Souza Gimenez & Mario Xavier Alvarez Tajes, 2017. "Less Is More: Harnessing Product Substitution Information to Rationalize SKUs at Intcomex," Interfaces, INFORMS, vol. 47(3), pages 230-243, June.
    17. Robert E. Gaunt & Satish Iyengar & Adri B. Olde Daalhuis & Burcin Simsek, 2019. "An asymptotic expansion for the normalizing constant of the Conway–Maxwell–Poisson distribution," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 71(1), pages 163-180, February.
    18. Siddharth Mahajan & Garrett van Ryzin, 2001. "Inventory Competition Under Dynamic Consumer Choice," Operations Research, INFORMS, vol. 49(5), pages 646-657, October.
    19. Robert P. Rooderkerk & Harald J. van Heerde & Tammo H. A. Bijmolt, 2013. "Optimizing Retail Assortments," Marketing Science, INFORMS, vol. 32(5), pages 699-715, September.
    20. Kimberly F. Sellers & Andrew W. Swift & Kimberly S. Weems, 2017. "A flexible distribution class for count data," Journal of Statistical Distributions and Applications, Springer, vol. 4(1), pages 1-21, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:26:y:2007:i:3:p:327-341. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.