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Journal of the Academy of Marketing Science

Erschienen in:

01.02.2010

Marketing at the retail shelf: an examination of moderating effects of logistics on SKU market share

verfasst von: Matthew A. Waller, Brent D. Williams, Andrea Heintz Tangari, Scot Burton

Erschienen in: Journal of the Academy of Marketing Science | Ausgabe 1/2010

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Abstract

Given that the impact of retail shelf facings and price on a product’s market share is of substantial interest to marketing managers in the retail supply chain, we examine whether these relationships may be interdependent with the firm’s supply chain activities. We offer predictions regarding the interdependence of the marketing and supply chain variables using monthly in-store observations from 62 different retail stores from five different chains, taken over a 24-month period. The in-store observations included price and number of facings, which is combined with data obtained from the manufacturer on case pack quantity and market share data from the ACNielsen HomeScan consumer scanner panel. Results indicate that shelf facings impact the effects of price and case pack quantity on market share. In addition, we explore the strength of relationships across retailers employing everyday low price versus HiLo pricing strategies. Generally, our findings suggest that retailers and suppliers must work to integrate marketing activities and supply chain processes both within and across firms to most effectively serve the consumer at the retail shelf and increase market share.

Vorheriger Artikel The effects of supplier capabilities on industrial customers’ loyalty: the role of dependence

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In this study we focus on retail shelf facings as one key independent variable in predictions, but we also obtained a measure of total shelf capacity. We found that facings and the shelf capacity measure were very highly correlated (r = .92), and when shelf capacity was used instead of facings, it produced identical results for our specific tests of predictions. Because facings are more directly associated with the consumers’ exposure to the SKU and perceptual experience at the retail shelf, and given the similarity of findings, we used facings in tests of predictions.

Our focus for these complex interactions is for the overall set of retail stores, but we also explore any potential differences in these interaction effects on market share for stores using the EDLP and HiLo pricing strategies.

We also ran these meditational tests including the controls and other independent variables shown in Table 3. These findings also revealed partial mediation of facings. In a separate test, we assessed whether the effect of shelf replenishment frequency (SRF) on share was mediated by facings. Although not as strong as the meditational role of facings for case pack, this test also revealed that facings acted as a partial mediator of the effect of SRF on share (Sobel test z = 7.14, p < .01).

We also collected information on price per ounce for each SKU. Regression analyses using price per ounce rather than absolute price produced consistent results in our tests of H2–H4. Because we use product size (in ounces) as an instrumental variable for price in 2SLS models, we focus on analyses utilizing absolute price rather than price per ounce.

Multicollinearity often will result from including two similar interaction terms in a model combined with the original variables used to form the interactions and the reversal of signs is a classic problem associated with multicollinearity (e.g., Hair et al. 2006; Mason and Perreault 1991). Further, we also performed this regression when excluding the SRF direct effect as a predictor, but including the two and three-way interaction terms. When the direct effect of SRF is not included in the model, the three-way interaction is positive and significant (but not large relative to the other coefficients), consistent with the bivariate correlation.

To test if there were influential effects related to outliers, we also ran models in which both smaller case pack sizes and larger number of facings were omitted from the data set. The coefficients for all direct and moderating relationships with share were consistent with those shown in Table 3, offering further support for predictions related to the predicted direct and moderating effects.

We formally tested for the endogeneity of price, using the two-step Hausman test (Wooldridge 2002, pp. 118–120). From the Hausman tests, we conclude that price is an endogenous (p < 0.01) predictor variable. We also tested facings for endogeneity using the same method as we used for price. Unfortunately, due to a lack of a suitable instrument in our data set, we were not able to test facings using the same method used to test price in the 2SLS.

We thank an anonymous reviewer for suggesting this mediation test and point regarding this relationship.

For our study, we interviewed an executive for the manufacturer participating in this study who has worked in the RTE cereal industry for the past 38 years, and he estimated that some 2% to 3% of cereal sales in participating stores are sold in the center aisle. Based on this information, we believe our results are not significantly impacted by center aisle sales for these participating chains and this category, but findings for other categories, stores, and contextual market conditions remain of interest.

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.

Anderson, E. E. (1979). An analysis of retail display space: Theory and methods. Journal of Business, 52(1), 103–118. doi:10.1086/296036.CrossRef

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research. Journal of Personality and Social Psychology, 51(6), 1173–1182. doi:10.1037/0022-3514.51.6.1173.CrossRef

Basuroy, S., Mantrala, M. K., & Walters, R. G. (2001). The impact of category management on retailer prices and performance: Theory and evidence. Journal of Marketing, 65(4), 16–33. doi:10.1509/jmkg.65.4.16.18382.CrossRef

Boatwright, P., & Nunes, J. C. (2001). Reducing assortment: An attribute-based approach. Journal of Marketing, 65(3), 50–63. doi:10.1509/jmkg.65.3.50.18330.CrossRef

Bolton, R. (1989). The relationship between market characteristics and promotional price elasticities. Marketing Science, 8(2), 153–170. doi:10.1287/mksc.8.2.153.CrossRef

Broniarczyk, S. M., Hoyer, W. D., & McAlister, L. (1998). Consumers’ perceptions of the assortment offered in a grocery category: The impact of item reduction. JMR, Journal of Marketing Research, 35(2), 166–176. doi:10.2307/3151845.CrossRef

Campo, K., & Gijsbrechts, E. (2005). Retail assortment, shelf and stockout management: Issues, interplay and future challenges. Applied Stochastic Models in Business and Industry, 21(4/5), 383–392. doi:10.1002/asmb.574.CrossRef

Campo, K., Gijsbrechts, E., & Nisol, P. (2000). Towards understanding consumer response to stock-outs. Journal of Retailing, 76(2), 219–243. doi:10.1016/S0022-4359(00)00026-9.CrossRef

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah, NJ: Erlbaum Associates.

Cooper, M. C., & Ellran, L. (1993). Characteristics of supply chain management and the implication for purchasing and logistics strategy. The International Journal of Logistics Management, 4(2), 13–24. doi:10.1108/09574099310804957.CrossRef

Corsten, D., & Gruen, T. (2003). Desperately seeking shelf availability: An examination of the extent, the causes, and the efforts to address retail out-of-stocks. International Journal of Retail & Distribution Management, 31(12), 605–617. doi:10.1108/09590550310507731.CrossRef

Corstjens, M., & Doyle, P. (1981). A model for optimizing retail space allocations. Management Science, 27(7), 822–833. doi:10.1287/mnsc.27.7.822.CrossRef

Cox, K. K. (1970). The effect of shelf space upon sales of branded products. JMR, Journal of Marketing Research, 7(1), 55–58. doi:10.2307/3149507.CrossRef

Curhan, R. C. (1972). The relationship between shelf space and unit sales in supermarkets. JMR, Journal of Marketing Research, 9(4), 406–412. doi:10.2307/3149304.CrossRef

Dawson, J. F. (2007). Interpreting interaction effects. Available at: http://www.jeremydawson.co.uk/slopes.htm. Accessed 18 July 2007.

Dreze, X., Hoch, S. J., & Purk, M. E. (1994). Shelf management and space elasticity. Journal of Retailing, 70(4), 301–326. doi:10.1016/0022-4359(94)90002-7.CrossRef

Dupre, K., & Gruen, T. W. (2004). The use of category management practices to obtain a sustainable competitive advantage in the fast-moving-consumer-goods industry. Journal of Business and Industrial Marketing, 19(7), 444–459. doi:10.1108/08858620410564391.CrossRef

Dussart, C. (1998). Category management: Strengths, limits and developments. European Management Journal, 16(1), 50–62. doi:10.1016/S0263-2373(97)00073-X.CrossRef

Emmelhainz, M. A., Emmelhainz, L. W., & Stock, J. R. (1991). Logistics implications of retail stockouts. Journal of Business Logistics, 12(2), 129–142.

Fisher, M. L., Raman, A., & McCelland, A. S. (2000). Rocket science retailing is almost here: Are you ready? Harvard Business Review, 78(4), 115–124.

Fitzsimons, G. J. (2000). Consumer response to stockouts. The Journal of Consumer Research, 27(2), 249–267. doi:10.1086/314323.CrossRef

Frankel, R., Goldsby, T. J., & Whipple, J. M. (2002). Grocery industry collaboration in the wake of ECR. International Journal of Logistics Management, 13(1), 57–71. doi:10.1108/09574090210806360.CrossRef

Gourville, J. T., & Soman, D. (2005). Overchoice and assortment type: When and why variety backfires. Marketing Science, 24(3), 367–381. doi:10.1287/mksc.1040.0109.CrossRef

Gruen, T. W., & Corsten, D. (2007). A comprehensive guide to retail out-of-stock reduction in the fast moving consumer goods industry. Grocery Manufacturers Association (GMA), Food Marketing Institute (FMI), National Association of Chain Drug Stores (NACDS), The Procter & Gamble Company (P&G), the University of Colorado at Colorado Springs.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Prentice Hall Pearson.

Hoch, S. J., Dreze, X., & Purk, M. E. (1994). EDLP, Hi-Lo, and margin arithmetic. Journal of Marketing, 58(3), 16–27. doi:10.2307/1251913.CrossRef

Kohli, A. K., & Jaworski, B. J. (1990). Market orientation: The construct, research propositions, and managerial implications. Journal of Marketing, 54(2), 1–18. doi:10.2307/1251866.CrossRef

Lichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1990). Distinguishing coupon proneness from value consciousness: An acquisition-transaction utility theory perspective. Journal of Marketing, 54(3), 54–67. doi:10.2307/1251816.CrossRef

Mason, C. H., & Perreault, W. D. (1991). Collinearity, power, and interpretation of multiple regression analysis. JMR, Journal of Marketing Research, 28(3), 268–280. doi:10.2307/3172863.CrossRef

McKinnon, A. C., Mendes, D., & Nababteh, M. (2007). In-store logistics: An analysis of on-shelf availability and stockout responses for three product groups. International Journal of Logistics: Research & Applications, 10(3), 251–268. doi:10.1080/13675560701478075.CrossRef

Mentzer, J. T., DeWitt, W., Keebler, J. S., & Min, S. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1–25.

Messinger, P. R., & Narasimhan, C. (1995). Has power shifted in the grocery channel?. Marketing Science, 14(2), 189–224. doi:10.1287/mksc.14.2.189.CrossRef

Min, S., & Mentzer, J. T. (2000). The role of marketing in supply chain management. International Journal of Physical Distribution & Logistics, 30(9), 765–787. doi:10.1108/09600030010351462.CrossRef

Min, S., Mentzer, J. T., & Ladd, R. T. (2007). A market orientation in supply chain management. Journal of the Academy of Marketing Science, 35(4), 507–522. doi:10.1007/s11747-007-0020-x.CrossRef

Motes, W. H., & Castleberry, S. B. (1985). A longitudinal field test of stockout effects on multi-brand inventories. Journal of the Academy of Marketing Science, 13(4), 54–68. doi:10.1007/BF02737199.CrossRef

Nelson, E., & Ellison, S. (2005). Shelf promotion: In a shift, marketers beef up ad spending inside stores; Wall Street Journal, September 21 (Eastern Edition), A.1.

Nevo, A. (2001). Measuring market power in the ready-to-eat cereal industry. Econometrica, 69(2), 307–342. doi:10.1111/1468-0262.00194.CrossRef

Raman, A., DeHoratius, N., & Ton, Z. (2001). Execution: The missing link in retail operations. California Management Review, 43(3), 136–152.

Schwartz, B. (2004). The paradox of choice: Why more is less. New York, NY: Collins.

Sloot, L. M., Verhoef, P. C., & Franses, P. H. (2005). The impact of brand equity and the hedonic level of products on consumer stock-out reactions. Journal of Retailing, 81(1), 15–34. doi:10.1016/j.jretai.2005.01.001.CrossRef

Urban, T. L. (1998). An inventory-theoretic approach to product assortment and shelf-space allocation. Journal of Retailing, 74(1), 15–35. doi:10.1016/S0022-4359(99)80086-4.CrossRef

Walter, C. K., & Grabner, J. R. (1975). Stockout cost models: Retail situation. Journal of Marketing, 39(3), 56–60. doi:10.2307/1250902.CrossRef

Whipple, J. S., Frankel, R., & Anselmi, K. (1999). The effect of governance structure on performance: A case study of efficient consumer response. Journal of Business Logistics, 20(2), 43–62.

Wilkinson, J. B., Paksoy, C. H., & Mason, B. J. (1981). A demand analysis of newspaper advertising and changes in space allocation. Journal of Retailing, 57(2), 30–49.

Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. Cambridge, MA: MIT.

Zenor, M. J. (1994). The profit benefits of category management. JMR, Journal of Marketing Research, 31(2), 202–213. doi:10.2307/3152194.CrossRef

Zhang, J., & Krishna, A. (2007). Brand-level effects of stockkeeping unit reductions. JMR, Journal of Marketing Research, 44(4), 545–559. doi:10.1509/jmkr.44.4.545.CrossRef

Zinn, W., & Liu, P. C. (2001). Consumer response to retail stockouts. Journal of Business Logistics, 22(1), 49–72.

Titel: Marketing at the retail shelf: an examination of moderating effects of logistics on SKU market share
verfasst von: Matthew A. Waller
Brent D. Williams
Andrea Heintz Tangari
Scot Burton
Publikationsdatum: 01.02.2010
Verlag: Springer US
Erschienen in: Journal of the Academy of Marketing Science / Ausgabe 1/2010
Print ISSN: 0092-0703
Elektronische ISSN: 1552-7824
DOI: https://doi.org/10.1007/s11747-009-0146-0

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