Retail promotions and information sharing in the supply chain: a controlled experiment

Emerald - 2011
TravisTokar1, John A.Aloysius2, Matthew A.Waller2, Brent D.Williams3
1Neeley School of Business, Texas Christian University, Fort Worth, Texas, USA
2Sam M. Walton College of Business, University of Arkansas, Fayetteville, Arkansas, USA
3College of Business, Auburn University, Auburn, Alabama, USA

Tóm tắt

PurposeCommunication between supply chain partners is critical for replenishment decision making. Decision support systems still require significant human decision making with regard to replenishment when promotions are involved. The purpose of this paper is to study the impact of the sharing of information about the magnitude and timing of retail promotions on cost efficiency in the supply chain. The authors compare performance against theoretical benchmarks and draw conclusions significant to managers.Design/methodology/approachThe subjects in Study 1, 30 undergraduate students at a large, US university, completed the experiment in a single session lasting approximately 60 minutes. The experiment involved a simple, multi‐period replenishment task, played as individuals, that was somewhat like the newsvendor game. Subjects in the experiment employed in Study 2 were senior‐level members of multiple departments from a large consumer products manufacturer in the USA. Participating departments included sales, operations, and supply chain. Self‐reported questionnaires revealed that the average subject had 15 years of experience with supply chain issues and seven years of experience with replenishment. The study was conducted in a single session, lasting approximately two hours, at the corporate headquarters of the participating company. In this experiment, 76 unique subjects participated.FindingsResults from the single‐echelon study reveal the cost‐reducing effect of knowing the magnitude and timing of demand generated by a promotion. However, the poor performance, compared with the theoretical benchmarks, by respondents in the multi‐echelon study, even when the lead time per node is half that of the single‐echelon case and the subjects were experienced managers, highlights the complexity of the task that results from a lack of coordination.Practical implicationsBillions of dollars are spent on retail promotions each year. The management of the forecasting and replenishment of inventory for such promotions is difficult to automate and requires significant human decision making. The paper explores some key issues that are important in the replenishment decision‐making scenario when a promotion is involved.Originality/valueAlthough the most obvious managerial recommendation for reducing the coordination and planning problems associated with promotions is simply to communicate more, the authors' research also suggests it may not be enough to alter performance. The results suggest that while communication is helpful, coordination may represent a more serious challenge.

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Ailawadi, K.L., Beauchamp, J.P., Donthu, N., Gauri, D.K. and Shankar, V. (2009), “Communication and promotion decisions in retailing: a review and directions for future research”, Journal of Retailing, Vol. 85 No. 1, pp. 42‐55.

Angulo, A., Nachtmann, H. and Waller, M. (2004), “Supply chain information sharing in a vendor managed inventory partnership”, Journal of Business Logistics, Vol. 25 No. 1, pp. 101‐20.

Bell, D.R., Chiang, J. and Padmanabhan, V. (1999), “The decomposition of promotional response: an empirical generalization”, Marketing Science, Vol. 18 No. 4, pp. 504‐26.

Blattberg, R.C., Eppen, G.D. and Lieberman, J. (1981), “A theoretical and empirical evaluation of price deals for consumer nondurables”, Journal of Marketing, Vol. 45 No. 1, pp. 116‐29.

Bourland, K.E., Powell, S.G. and Pyke, D.F. (1996), “Exploiting timely demand information to reduce inventories”, European Journal of Operational Research, Vol. 92 No. 2, pp. 239‐53.

Bucklin, R.E., Gupta, S. and Siddarth, S. (1998), “Determining segmentation in sales response across consumer purchase behaviors”, Journal of Marketing Research, Vol. 35 No. 2, pp. 189‐97.

Cachon, G. and Fisher, M. (1997), “Campbell Soup's continuous product replenishment program: evaluation and enhanced decision rules”, Production and Operations Management, Vol. 6 No. 3, pp. 266‐76.

Cachon, G. and Fisher, M. (2000), “Supply chain inventory management and the value of shared information”, Management Science, Vol. 46 No. 8, pp. 1032‐48.

Cantor, D.E. and Macdonald, J.R. (2009), “Decision‐making in the supply chain: examining problem solving approaches and information availability”, Journal of Operations Management, Vol. 27 No. 3, pp. 220‐32.

Closs, D.J., Roath, A.S., Goldsby, T.J., Eckert, J.A. and Swartz, S.M. (1998), “An empirical comparison of anticipatory and response‐based supply chain strategies”, International Journal of Logistics Management, Vol. 9 No. 2, pp. 21‐34.

Croson, R. and Donohue, K. (2003), “Impact of POS data sharing on supply chain management: an experimental study”, Production and Operations Management, Vol. 12 No. 1, pp. 1‐11.

Croson, R. and Donohue, K. (2006), “Behavioral causes of the bullwhip effect and the observed value of inventory information”, Management Science, Vol. 52 No. 3, pp. 323‐36.

Croson, R., Donohue, K., Katok, E. and Sterman, J. (2011), “Order stability in supply chains: coordination risk and the role of coordination stock”, working paper, Smeal College of Business, Penn State University, State College, PA.

Daugherty, P., Kasulis, J.J. and Richey, R.G. (2002), “The role of customer service in trade promotion decisions”, International Journal of Logistics Management, Vol. 13 No. 1, pp. 43‐56.

Daugherty, P., Myers, M. and Autry, C. (1999), “Automatic replenishment programs: an empirical examination”, Journal of Business Logistics, Vol. 20 No. 2, pp. 63‐82.

Davis‐Sramek, B., Germain, R. and Stank, T.P. (2010), “The impact of order fulfillment service on retailer merchandising decisions in the consumer durables industry”, Journal of Business Logistics, Vol. 31 No. 2, pp. 215‐30.

DeHoratius, N. and Raman, A. (2008), “Inventory record inaccuracy: an empirical analysis”, Management Science, Vol. 54 No. 4, pp. 627‐41.

DeHoratius, N., Mersereau, A. and Schrage, L. (2008), “Retail inventory management when records are inaccurate”, Manufacturing and Service Operations Management, Vol. 10 No. 2, pp. 257‐77.

Delen, D., Hardgrave, B. and Sharda, R. (2007), “RFID for better supply‐chain management through enhanced information visibility”, Production and Operations Management, Vol. 16 No. 5, pp. 613‐24.

Ehrenberg, A.S.C. (1974), “Repetitive advertising and the consumer”, Journal of Advertising Research, Vol. 14 No. 2, pp. 25‐35.

Ellinger, A.E., Keller, S.B. and Bas, A.B.E. (2010), “The empowerment of frontline service staff in 3PL companies”, Journal of Business Logistics, Vol. 31 No. 1, pp. 79‐98.

Eroglu, C. and Knemeyer, A.M. (2010), “Exploring the potential effects of forecaster motivational orientation and gender on judgmental adjustments of statistical forecasts”, Journal of Business Logistics, Vol. 31 No. 1, pp. 179‐96.

Fawcett, S.E., Waller, M.A. and Fawcett, A.M. (2010), “Elaborating a dynamic systems theory to understand collaborative inventory successes and failures”, International Journal of Logistics Management, Vol. 21 No. 3, pp. 510‐37.

Frankel, R., Goldsby, T. and Whipple, J. (2002), “Grocery industry collaboration in the wake of ECR”, International Journal of Logistics Management, Vol. 13 No. 1, pp. 57‐71.

Fudenberg, D. and Tirole, J. (1993), Game Theory, MIT Press, Cambridge, MA.

Gaukler, G., Seifert, R. and Hausman, W. (2007), “Item‐level RFID in the retail supply chain”, Production and Operations Management, Vol. 16 No. 1, pp. 65‐76.

Gavirneni, S., Kapuscinski, R. and Tayur, S. (1999), “Value of information in capacitated supply chains”, Management Science, Vol. 45 No. 1, pp. 16‐24.

Glazer, R., Steckel, J.H. and Winer, S. (1992), “Locally rational decision making: the distracting effect of information on managerial performance”, Management Science, Vol. 38 No. 2, pp. 212‐26.

Guadagni, P.M. and Little, J.D.C. (1983), “A logit model of brand choice calibrated on scanner data”, Marketing Science, Vol. 2 No. 3, pp. 203‐38.

Haines, R., Hough, J.R. and Haines, D. (2010), “Individual and environmental impacts on supply chain inventory management: an experimental investigation of information availability and procedural rationality”, Journal of Business Logistics, Vol. 31 No. 2, pp. 111‐28.

Hardgrave, B., Langford, S., Waller, M. and Miller, R. (2008), “Measuring the impact of RFID on out of stocks at Wal‐Mart”, MIS Quarterly Executive, Vol. 7 No. 4, pp. 181‐92.

Hoyt, J. and Huq, F. (2000), “From arm's length to collaborative relationships in the supply chain”, International Journal of Physical Distribution and Logistics Management, Vol. 30 No. 9, pp. 750‐64.

Jeuland, A.P. and Narasimhan, C. (1985), “Dealing‐temporary price cuts by seller as a buyer discrimination mechanism”, Journal of Business, Vol. 58 No. 3, pp. 295‐308.

Kaipia, R. and Hartiala, H. (2006), “Information‐sharing in supply chains: five proposals on how to proceed”, International Journal of Logistics Management, Vol. 17 No. 3, pp. 377‐93.

Lal, R. (1990), “Price promotion: limiting competitive encroachment”, Marketing Science, Vol. 9 No. 3, pp. 247‐62.

Lee, H.L., So, K.C. and Tang, C.S. (2000), “The value of information sharing in a two‐level supply chain”, Management Science, Vol. 46 No. 5, pp. 626‐43.

March, J.G. (1994), A Primer on Decision Making, The Free Press, New York, NY.

Mentzer, J.T., DeWitt, W., Keebler, J.S. and Min, S. (2001), “Defining supply chain management”, Journal of Business Logistics, Vol. 22 No. 2, pp. 1‐25.

Min, S., Mentzer, J.T. and Ladd, R.T. (2007), “A market orientation in supply chain management”, Journal of the Academy of Marketing Science, Vol. 35 No. 4, pp. 507‐22.

Nachtmann, H., Waller, M.A. and Rieske, D.W. (2010), “The impact of point‐of‐sale data inaccuracy and inventory record data errors”, Journal of Business Logistics, Vol. 31 No. 1, pp. 149‐58.

Nahmias, S. (2008), Production and Operations Analysis, McGraw‐Hill Irwin, New York, NY.

Neslin, S.A., Henderson, C. and Quelch, J. (1985), “Consumer promotions and the acceleration of product purchases”, Marketing Science, Vol. 4 No. 2, pp. 147‐66.

Pohlen, T. and Goldsby, T. (2003), “VMI and SMI Programs”, International Journal of Physical Distribution and Logistics Management, Vol. 33 No. 7, pp. 565‐81.

Powers, P.L. and Closs, D.J. (1987), “An examination of the effects of trade incentives on logistical performance in a consumer products distribution channel”, Journal of Business Logistics, Vol. 8 No. 2, pp. 1‐28.

Raju, J.S., Srinivasan, V. and Lal, R. (1990), “The effects of brand loyalty on competitive price and promotional strategies”, Management Science, Vol. 36 No. 3, pp. 276‐304.

Raman, A. and Ton, Z. (2003), Operational Execution at Arrow Electronics, Harvard Business School Cases, Cambridge, MA.

Raman, A., DeHoratius, N. and Ton, Z. (2001), “Execution: the missing link in retail operations”, California Management Review, Vol. 43 No. 3, pp. 136‐52.

Rao, R.C. (1991), “Pricing and promotions in asymmetric duopolies”, Marketing Science, Vol. 10 No. 2, pp. 131‐44.

Rossi, P.E., McCulloch, R.E. and Allenby, G.M. (1996), “The value of purchase history data in target marketing”, Marketing Science, Vol. 15 No. 4, pp. 321‐41.

Sanders, N. and Premus, R. (2002), “IT applications in supply chain organizations: a link between competitive priorities and organizational benefits”, Journal of Business Logistics, Vol. 23 No. 1, pp. 65‐83.

Sanders, N. and Premus, R. (2005), “Modeling the relationship between firm IT capability, collaboration and performance”, Journal of Business Logistics, Vol. 26 No. 1, pp. 1‐23.

Smith, C.D. and Mentzer, J.T. (2010), “User influence on the relationship between forecast accuracy, application and logistics performance”, Journal of Business Logistics, Vol. 31 No. 1, pp. 159‐78.

Sobel, J. (1984), “The timing of sales”, Review of Economic Studies, pp. 353‐68.

Stank, T., Crum, M. and Arango, M. (1999), “Benefits of inter‐firm coordination in food industry supply chains”, Journal of Business Logistics, Vol. 20 No. 2, pp. 21‐42.

Stank, T.P., Daugherty, P.J. and Ellinger, A.E. (1999), “Marketing/logistics integration and firm performance”, International Journal of Logistics Management, Vol. 10 No. 1, pp. 11‐24.

Van Hoek, R., Ellinger, A.E. and Johnson, M. (2008), “Great divides: internal alignment between logistics and peer functions”, International Journal of Logistics Management, Vol. 19 No. 2, pp. 110‐129.

Varian, H. (1980), “A model of sales”, American Economic Review, Vol. 70 No. 4, pp. 651‐9.

Waller, M.A., Johnson, M.E. and Davis, T. (1999), “Vendor‐managed inventory in the retail supply chain”, Journal of Business Logistics, Vol. 20 No. 1, pp. 183‐203.

Waller, M.A., Williams, B.D., Tangari, A.H. and Burton, S. (2010), “Marketing at the retail shelf: exploring moderating effects of logistics on SKU market share”, Journal of the Academy of Marketing Science, Vol. 38 No. 1, pp. 105‐17.

Whipple, J., Frankel, R. and Anselmi, K. (1999), “The effect of governance structure on performance: a case study of efficient consumer response”, Journal of Business Logistics, Vol. 20 No. 2, pp. 43‐62.

Williams, B.D. and Waller, M.A. (2010), “Creating order forecasts: point‐of‐sale or order history?”, Journal of Business Logistics, Vol. 31 No. 2, pp. 231‐52.

Wu, D.Y. and Katok, E. (2006), “Learning, communication, and the bullwhip effect”, Journal of Operations Management, Vol. 24 No. 6, pp. 839‐50.

Xu, K. and Dong, Y. (2004), “Information gaming in demand collaboration and supply chain performance”, Journal of Business Logistics, Vol. 25 No. 1, pp. 121‐44.