We review papers published in POM during its thirty‐year history that deal with retail operations issues with an empirical approach. The papers span a range of issues, from traditional ones like forecasting and inventory planning, to new technologies, like radio frequency identification (RFID) and e‐commerce, and strategic, like links between retailing and stock market performance.
AgrawalN.SmithS. A.TsayA. A. (2002). Multi‐vendor sourcing in a retail supply chain. Production and Operations Management, 11(2), 157–182.
2.
BellD.GallinoS.MorenoA. (2015). Showrooms and information provision in omni‐channel retail. Production and Operations Management, 24(3), 360–362.
3.
BellD. R.GallinoS.MorenoA. (2018). Offline showrooms in omni‐channel retail: Demand and operational benefits. Management Science, 64(4), 1477–1973.
4.
BowmanE. H. (1963). Consistency and optimality in managerial decision making. Management Science, 9(2), 310–321.
5.
BreiterA.HuchzermeierA. (2015). Promotion planning and supply chain contracting in a high–low pricing environment. Production and Operations Management, 24(2), 219–236.
6.
ChuangH. H. C.OlivaR.HeimG. R. (2019). Examining the link between retailer inventory leanness and operational efficiency: Moderating roles of firm size and demand uncertainty. Production and Operations Management, 28(9), 2338–2364.
7.
ChuangH. H. C.OlivaR.LiuS. (2016). On‐shelf availability, retail performance, and external audits: A field experiment. Production and Operations Management, 25(5), 935–951.
8.
ChuangH. H. C.OlivaR.PerdikakiO. (2016). Traffic‐based labor planning in retail stores. Production and Operations Management, 25(1), 96–113.
9.
CuiR.GallinoS.MorenoA.ZhangD. J. (2018). The operational value of social media information. Production and Operations Management, 27(10), 1749–1769.
10.
DeHoratiusN.RamanA. (2008). Inventory record inaccuracy: An empirical analysis. Management Science, 54(4), 627–641.
11.
DelenD.HardgraveB. C.ShardaR. (2007). RFID for better supply‐chain management through enhanced information visibility. Production and Operations Management, 16(5), 613–624.
12.
ErtekinN.KetzenbergM. E.HeimG. R. (2020). Assessing impacts of store and salesperson dimensions of retail service quality on consumer returns. Production and Operations Management, 29(5), 1232–1255.
13.
EscamillaR.FransooJ. C.TangC. S. (2021). Improving agility, adaptability, alignment, accessibility, and affordability in nanostore supply chains. Production and Operations Management, 30(3), 676–688.
14.
FisherM. L.RajaramK. (2000). Accurate retail testing of fashion merchandise: Methodology and application. Marketing Science, 19(3), 266–278.
15.
FisherM. L.RamanA. (2010). The new science of retailing, Harvard Business School Press.
16.
FisherM. L.RamanA. (2018). Using data and big data in retailing. Production and Operations Management, 27(9), 1937–5956.
17.
GaurV.FisherM. L. (2005). In‐store experiments to determine the impact of price on sales. Production and Operations Management, 14(4), 377–387.
18.
GümüşM.LiS.OhW.RayS. (2013). Shipping fees or shipping free? A tale of two price partitioning strategies in online retailing. Production and Operations Management, 22(4), 758–776.
19.
HardgraveB. C.AloysiusJ. A.GoyalS. (2013). RFID‐enabled visibility and retail inventory record inaccuracy: Experiments in the field. Production and Operations Management, 22(4), 843–856.
20.
KesavanS.KushwahaT. (2014). Differences in retail inventory investment behavior during macroeconomic shocks: Role of service level. Production and Operations Management, 23(12), 2118–2136.
21.
LiJ.ChanT. Y.LewisM. (2016). What happens when manufacturers perform the retailing functions?Production and Operations Management, 25(8), 1391–1403.
22.
ManiV.KesavanS.SwaminathanJ. M. (2015). Estimating the impact of understaffing on sales and profitability in retail stores. Production and Operations Management, 24(2), 201–218.
23.
MersereauA. J. (2013). Information‐sensitive replenishment when inventory records are inaccurate. Production and Operations Management, 22(4), 792–810.
24.
MorenoA. (2020). Zara: An integrated store and online model (A). Harvard Business School Case 620‐073 (revised October 2021). Harvard Business School.
25.
OsadchiyN.GaurV.SeshadriS. (2013). Sales forecasting with financial indicators and experts' input. Production and Operations Management, 22(5), 1056–1076.
26.
PerdikakiO.PengD. X.HeimG. R. (2015). Impact of customer traffic and service process outsourcing levels on e‐retailer operational performance. Production and Operations Management, 24(11), 1794–1811.
27.
RabinovichE.MaltzA.SinhaR. K. (2008). Assessing markups, service quality, and product attributes in music CDs’ Internet retailing. Production and Operations Management, 17(3), 320–337.
28.
ReinerG.TellerC.KotzabH. (2013). Analyzing the efficient execution of in‐store logistics processes in grocery retailing—The case of dairy products. Production and Operations Management, 22(4), 924–939.
29.
ShockleyJ.PlummerL. A.RothA. V.FredendallL. D. (2015). Strategic design responsiveness: An empirical analysis of us retail store networks. Production and Operations Management, 24(3), 451–468.
30.
TangQ.LinM.KimY. (2021). Inter‐retailer channel competition: Empirical analyses of store entry effects on online purchases. Production and Operations Management, 30(8), 2547–2563.
31.
TonZ.RamanA. (2010). The effect of product variety and inventory levels on retail store sales: A longitudinal study. Production and Operations Management, 19(5), 546–560.
32.
UllrichK. K.TranschelS. (2017). Demand–supply mismatches and stock market performance: A retailing perspective. Production and Operations Management, 26(8), 1444–1462.
33.
YuanR.GravesS. C.CezikT. (2019). Velocity‐based storage assignment in semi‐automated storage systems. Production and Operations Management, 28(2), 354–373.
34.
ZhangD. J.DaiH.DongL.QiF.ZhangN.LiuX.LiuZ.YangJ. (2018). How do price promotions affect customer behavior on retailing platforms? Evidence from a large randomized experiment on Alibaba. Production and Operations Management, 27(12), 2343–2345.
