The Future of Retail Operations

References

• Acimovic J, Graves SC (2014) Making better fulfillment decisions on the fly in an online retail environment. Manufacturing Service Oper. Management 17(1):34–51.Link, Google Scholar
• Altug MS, Aydinliyim T (2016) Counteracting strategic purchase deferrals: The impact of online retailers return policy decisions. Manufacturing Service Oper. Management 18(3):376–392.Link, Google Scholar
• Aouad A, Segev D (2015) Display optimization for vertically differentiated locations under multinomial logit choice preferences. Working paper, London Business School, London.Google Scholar
• Autor DH, Salomons A (2018) Is automation labor-displacing? Productivity growth, employment, and the labor share. NBER Working Paper No. 24871, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Bandi C, Moreno A, Ngwe D, Xu Z (2018) Opportunistic returns and dynamic pricing: Empirical evidence from online retailing in emerging markets. Working paper, Kellogg School of Management, Northwestern University, Evanston, IL.Google Scholar
• Barrie L (2018) Apparel overproduction “a risk firms seem to accept.” Just-Style (December 21), https://www.just-style.com/news/apparel-overproduction-a-risk-firms-seem-to-accept_id135285.aspx.Google Scholar
• Bell DR, Gallino S, Moreno A (2014) How to win in an omnichannel world. MIT Sloan Management Rev. 56(1):45–53.Google Scholar
• Bell DR, Gallino S, Moreno A (2018) Offline experiences and value creation in omnichannel retail. Working paper, University of Pennsylvania, Philadelphia.Google Scholar
• Bernstein F, Martínez-de-Albéniz V (2017) Dynamic product rotation in the presence of strategic customers. Management Sci. 63(7):2092–2107.Link, Google Scholar
• Bernstein F, Kök AG, Xie L (2015) Dynamic assortment customization with limited inventories. Manufacturing Service Oper. Management 17(4):538–553.Link, Google Scholar
• Bertsimas D, Kallus N (2014) From predictive to prescriptive analytics. Working paper, Cornell Tech, Ithaca, NY.Google Scholar
• Bertsimas D, Gupta V, Kallus N (2018) Data-driven robust optimization. Math. Programming 167(2):235–292.Crossref, Google Scholar
• Blanco E, Fransoo J (2013) Reaching 50 million nanostores: Retail distribution in emerging megacities. Working paper, Eindhoven University of Technology, Eindhoven, Netherlands.Google Scholar
• Bulow J (1986) An economic theory of planned obsolescence. Quart. J. Econom. 101(4):729–749.Crossref, Google Scholar
• Bulow JI (1982) Durable-goods monopolists. J. Political Econom. 90(2):314–332.Crossref, Google Scholar
• Cachon G (2001) Managing a retailer’s shelf space, inventory, and transportation. Manufacturing Service Oper. Management 3(3):211–229.Link, Google Scholar
• Cachon GP, Feldman P (2015) Price commitments with strategic consumers: Why it can be optimal to discount more frequently than optimal. Manufacturing Service Oper. Management 17(3):399–410.Link, Google Scholar
• Cachon GP, Terwiesch C, Xu Y (2005) Retail assortment planning in the presence of consumer search. Manufacturing Service Oper. Management 7(4):330–346.Link, Google Scholar
• Caro F, Gallien J (2007) Dynamic assortment with demand learning for seasonal consumer goods. Management Sci. 53(2):276–292.Link, Google Scholar
• Caro F, Gallien J (2012) Clearance pricing optimization for a fast-fashion retailer. Oper. Res. 60(6):1404–1422.Link, Google Scholar
• Caro F, Martínez-de-Albéniz V (2010) The impact of quick response in inventory-based competition. Manufacturing Service Oper. Management 12(3):409–429.Link, Google Scholar
• Caro F, Sadr R (2019) The Internet of Things (IoT) in retail: Bridging supply and demand. Bus. Horizons 62(1):47–54.Crossref, Google Scholar
• Caro F, Lane L, de Tejada Cuenca AS (2018) Can brands claim ignorance? Unauthorized subcontracting in apparel supply chains. Working paper, University of California, Los Angeles, Los Angeles.Google Scholar
• Caro F, Martínez-de-Albéniz V, Rusmevichientong P (2014) The assortment packing problem: Multiperiod assortment planning for short-lived products. Management Sci. 60(11):2701–2721.Link, Google Scholar
• Carrick AM, Sosa ME (2018) Eight Inc. and Apple retail stores. INSEAD Case Study Reference No. 617-0065-1, INSEAD, Fontainebleau, France.Google Scholar
• Chen H, Frank MZ, Wu OQ (2007) U.S. retail and wholesale inventory performance from 1981 to 2004. Manufacturing Service Oper. Management 9(4):430–456.Link, Google Scholar
• Chen L, Plambeck EL (2008) Dynamic inventory management with learning about the demand distribution and substitution probability. Manufacturing Service Oper. Management 10(2):236–256.Link, Google Scholar
• Chen Q, Jasin S, Duenyas I (2015) Real-time dynamic pricing with minimal and flexible price adjustment. Management Sci. 62(8):2437–2455.Link, Google Scholar
• Chong J-K, Ho T-H, Tang CS (2001) A modeling framework for category assortment planning. Manufacturing Service Oper. Management 3(3):191–210.Link, Google Scholar
• Cohen L (2004) A consumers’ republic: The politics of mass consumption in postwar America. J. Consumer Res. 31(1):236–239.Crossref, Google Scholar
• Craig NC, Raman A (2015) Improving store liquidation. Manufacturing Service Oper. Management 18(1):89–103.Link, Google Scholar
• Craig NC, DeHoratius N, Raman A (2016) The impact of supplier inventory service level on retailer demand. Manufacturing Service Oper. Management 18(4):461–474.Link, Google Scholar
• Cui R, Li M, Li Q (2018) Value of high-quality logistics: Evidence from a clash between SF Express and Alibaba. Working paper, Emory University, Atlanta.Google Scholar
• DeHoratius N, Raman A (2007) Store manager incentive design and retail performance: An exploratory investigation. Manufacturing Service Oper. Management 9(4):518–534.Link, Google Scholar
• DeHoratius N, Mersereau AJ, Schrage L (2008) Retail inventory management when records are inaccurate. Manufacturing Service Oper. Management 10(2):257–277.Link, Google Scholar
• Dennis S (2018) Physical retail isn’t dead. Boring retail is. Forbes (March 19), https://www.forbes.com/sites/stevendennis/2018/03/19/physical-retail-is-not-dead-boring-retail-is-understanding-retails-great-bifurcation/#59b691431981.Google Scholar
• Dong L, Kouvelis P, Tian Z (2009) Dynamic pricing and inventory control of substitute products. Manufacturing Service Oper. Management 11(2):317–339.Link, Google Scholar
• Farias VF, Jagabathula S, Shah D (2017) Building optimized and hyperlocal product assortments: A nonparametric choice approach. Working paper, Massachusetts Institute of Technology, Cambridge.Google Scholar
• Ferreira KJ, Lee BHA, Simchi-Levi D (2015) Analytics for an online retailer: Demand forecasting and price optimization. Manufacturing Service Oper. Management 18(1):69–88.Link, Google Scholar
• Ferreira KJ, Simchi-Levi D, Wang H (2018) Online network revenue management using thompson sampling. Oper. Res. 66(6):1586–1602.Link, Google Scholar
• Fiegerman S (2018) Amazon made Prime indispensable—Here’s how. CNN Bus. (April 27), https://money.cnn.com/2018/04/27/technology/amazon-prime-strategy/index.html.Google Scholar
• Fisher M, Raman A (1996) Reducing the cost of demand uncertainty through accurate response to early sales. Oper. Res. 44(1):87–99.Link, Google Scholar
• Fisher M, Raman A (2001) Introduction to focused issue: Retail operations management. Manufacturing Service Oper. Management 3(3):189–190.Link, Google Scholar
• Fisher M, Gallino S, Li J (2017) Competition-based dynamic pricing in online retailing: A methodology validated with field experiments. Management Sci. 64(6):2496–2514.Link, Google Scholar
• Fisher M, Gallino S, Netessine S (2018) Does online training work in retail? Working paper, Wharton School, University of Pennsylvania, Philadelphia.Google Scholar
• Fisher M, Gallino S, Xu J (2016) The value of rapid delivery in online retailing. Working paper, University of Pennsylvania, Philadelphia.Google Scholar
• Fisher M, Rajaram K, Raman A (2001) Optimizing inventory replenishment of retail fashion products. Manufacturing Service Oper. Management 3(3):230–241.Link, Google Scholar
• Gallien J, Scheller-Wolf A (2016) Introduction to the special issue on practice-focused research. Manufacturing Service Oper. Management 18(1):1–4.Link, Google Scholar
• Gallino S, Moreno A (2014) Integration of online and offline channels in retail: The impact of sharing reliable inventory availability information. Management Sci. 60(6):1434–1451.Link, Google Scholar
• Gallino S, Moreno A (2018) The value of fit information in online retail: Evidence from a randomized field experiment. Manufacturing Service Oper. Management 20(4): 601–800.Link, Google Scholar
• Graves SC, Meal HC, Dasu S, Qiu Y (1986) Two-stage production planning in a dynamic environment. Axsäter S, Schneeweiss C, Silver E, eds. Multi-Stage Production Planning and Control (Springer-Verlag, Berlin), 9–43.Crossref, Google Scholar
• Hampl N, Loock M (2013) Sustainable development in retailing: What is the impact on store choice? Bus. Strategy Environ. 22(3):202–216.Crossref, Google Scholar
• Heath DC, Jackson PL (1994) Modeling the evolution of demand forecasts with application to safety stock analysis in production/distribution systems. IIE Trans. 26(3):17–30.Crossref, Google Scholar
• Heese HS, Martínez-de-Albéniz V (2018) Effects of assortment breadth announcements on manufacturer competition. Manufacturing Service Oper. Management 20(2):302–316.Link, Google Scholar
• Honhon D, Jonnalagedda S, Pan XA (2012) Optimal algorithms for assortment selection under ranking-based consumer choice models. Manufacturing Service Oper. Management 14(2):279–289.Link, Google Scholar
• Huang T, Van Mieghem JA (2014) Clickstream data and inventory management: Model and empirical analysis. Production Oper. Management 23(3):333–347.Crossref, Google Scholar
• Kalkanci B, Plambeck EL (2017) Reveal the supplier list? A trade-off in capacity vs. responsibility. Working paper, Scheller College of Business, Georgia Tech, Atlanta.Google Scholar
• Kaplan DA (2017) The real cost of e-commerce logistics. Supply Chain Dive (June 6), https://www.supplychaindive.com/news/amazon-effect-logistics-cost-delivery/444138/.Google Scholar
• Kesavan S, Kuhnen CM (2017) Demand fluctuations, precarious incomes, and employee turnover. Working paper, University of North Carolina, Chapel Hill.Google Scholar
• Kesavan S, Mani V (2013) The relationship between abnormal inventory growth and future earnings for U.S. public retailers. Manufacturing Service Oper. Management 15(1):6–23.Link, Google Scholar
• Kesavan S, Deshpande V, Lee HS (2014) Increasing sales by managing congestion in self-service environments: Evidence from a field experiment. Working paper, University of North Carolina, Chapel Hill, Chapel Hill.Google Scholar
• Kesavan S, Kushwaha T, Gaur V (2016) Do high and low inventory turnover retailers respond differently to demand shocks? Manufacturing Service Oper. Management 18(2):198–215.Link, Google Scholar
• Kök AG, Fisher ML (2007) Demand estimation and assortment optimization under substitution: Methodology and application. Oper. Res. 55(6):1001–1021.Link, Google Scholar
• Kök AG, Shang KH (2007) Inspection and replenishment policies for systems with inventory record inaccuracy. Manufacturing Service Oper. Management 9(2):185–205.Link, Google Scholar
• Kowinski WS (1985) The Malling of America: An Inside Look at the Great Consumer Paradise (William Morrow, New York).Google Scholar
• Kurtuluş M, Nakkas A (2011) Retail assortment planning under category captainship. Manufacturing Service Oper. Management 13(1):124–142.Link, Google Scholar
• Lee J, Gaur V, Muthulingam S, Swisher GF (2015) Stockout-based substitution and inventory planning in textbook retailing. Manufacturing Service Oper. Management 18(1):104–121.Link, Google Scholar
• Lipovetsky G (2006) Le bonheur paradoxal: essai sur la société d’hyperconsommation, vol. 377 (Gallimard, Paris).Google Scholar
• Lunden I (2018) Amazon’s share of the US e-commerce market is now 49 retail spend. TechCrunch (July 13), https://techcrunch.com/2018/07/13/amazons-share-of-the-us-e-commerce-market-is-now-49-or-5-of-all-retail-spend/.Google Scholar
• Mahajan S, van Ryzin G (2001) Stocking retail assortments under dynamic consumer substitution. Oper. Res. 49(3):334–351.Link, Google Scholar
• Mani V, Kesavan S, Swaminathan JM (2015) Estimating the impact of understaffing on sales and profitability in retail stores. Production Oper. Management 24(2):201–218.Crossref, Google Scholar
• Martínez-de-Albéniz V (2019) Omnichannel strategy at Camper. IESE Business School case study, University of Navarra, Barcelona, Spain.Google Scholar
• Martínez-de-Albéniz V, Nasini S, Planas A (2017) Using clickstream data to improve campaign effectiveness in flash sales. Working paper, IESE Business School, University of Navarra, Barcelona, Spain.Google Scholar
• Mayers K, Koomey J, Hall R, Bauer M, France C, Webb A (2015) The carbon footprint of games distribution. J. Indust. Ecology 19(3):402–415.Crossref, Google Scholar
• Melton J (2017) Home Depot plans to spend $5.4 billion to sharpen its omnichannel strategy. Digital Commerce 360 (December 8), https://www.digitalcommerce360.com/2017/12/08/home-depot-spend-5-4-billion-sharpen-omnichannel-strategy/.Google Scholar
• National Retail Federation (2014) The economic impact of the US retail industry. Technical report, National Retail Federation, Washington, DC.Google Scholar
• Perdikaki O, Kesavan S, Swaminathan JM (2012) Effect of traffic on sales and conversion rates of retail stores. Manufacturing Service Oper. Management 14(1):145–162.Link, Google Scholar
• Poole J (2017) iPhone performance and battery age. Geekbench (December), https://www.geekbench.com/blog/2017/12/iphone-performance-and-battery-age/.Google Scholar
• Saiidi U (2018) Inside Alibaba’s new kind of superstore: Robots, apps and overhead conveyor belts. CNBC (August 30), https://www.cnbc.com/2018/08/30/inside-hema-alibabas-new-kind-of-superstore-robots-apps-and-more.html.Google Scholar
• Sauré D, Zeevi A (2013) Optimal dynamic assortment planning with demand learning. Manufacturing Service Oper. Management 15(3):387–404.Link, Google Scholar
• ScrapeHero (2018) How many products does Amazon sell? Accessed July 26, 2019, https://www.scrapehero.com/many-products-amazon-sell-january-2018/.Google Scholar
• Slaugh VW, Biller B, Tayur SR (2016) Managing rentals with usage-based loss. Manufacturing Service Oper. Management 18(3):429–444.Link, Google Scholar
• Smith SA, Agrawal N (2017) Optimal markdown pricing and inventory allocation for retail chains with inventory dependent demand. Manufacturing Service Oper. Management 19(2):290–304.Link, Google Scholar
• Su X (2009) Consumer returns policies and supply chain performance. Manufacturing Service Oper. Management 11(4):595–612.Link, Google Scholar
• Svoronos A, Zipkin P (1988) Estimating the performance of multi-level inventory systems. Oper. Res. 36(1):57–72.Link, Google Scholar
• Ton Z, Kalloch S (2017) Transforming today’s bad jobs into tomorrow’s good jobs. Harvard Bus. Rev. (June 12), https://hbr.org/2017/06/transforming-todays-bad-jobs-into-tomorrows-good-jobs.Google Scholar
• Tsay AA, Agrawal N (2000) Channel dynamics under price and service competition. Manufacturing Service Oper. Management 2(4):372–391.Link, Google Scholar
• Vickers A (2001) Amazon takes over Borders.com. The Guardian (April 11), https://www.theguardian.com/media/2001/apr/11/newmedia.citynews.Google Scholar
• Vow to Be Chic (2017) Personal email communication, February 23, 2018.Google Scholar
• Wang R (2018) When prospect theory meets consumer choice models: Assortment and pricing management with reference prices. Manufacturing Service Oper. Management 20(3): 389–600.Link, Google Scholar
• Wang Y, Gerchak Y (2001) Supply chain coordination when demand is shelf-space dependent. Manufacturing Service Oper. Management 3(1):82–87.Link, Google Scholar
• Warren T, Statt N (2017) Apple confirms iPhones with older batteries will take hits in performance. The Verge (December 20), https://www.theverge.com/2017/12/20/16800058/apple-iphone-slow-fix-battery-life-capacity.Google Scholar
• Webb J (2017) Alibaba takes controlling stake in Cainiao and will invest $15 billion in global logistics. Forbes (September 28), https://www.forbes.com/sites/jwebb/2017/09/28/alibaba-to-invest-15-billion-in-global-logistics-and-takes-a-controlling-stake-in-cainiao/#5fe3f65ba034.Google Scholar
• Webster S, Weng ZK (2000) A risk-free perishable item returns policy. Manufacturing Service Oper. Management 2(1):100–106.Link, Google Scholar
• Wiese A, Toporowski W, Zielke S (2012) Transport-related CO2 effects of online and brick-and-mortar shopping: A comparison and sensitivity analysis of clothing retailing. Transportation Res. Part D: Transport Environ. 17(6):473–477.Crossref, Google Scholar
• Xu PJ, Allgor R, Graves SC (2009) Benefits of reevaluating real-time order fulfillment decisions. Manufacturing Service Oper. Management 11(2):340–355.Link, Google Scholar
• Young CW, Russell SV, Robinson CA, Chintakayala PK (2018) Sustainable retailing—Influencing consumer behaviour on food waste. Bus. Strategy Environ. 27(1):1–15.Crossref, Google Scholar
• Zhang DJ, Dai H, Dong L, Qi F, Zhang N, Liu X, Liu Z (2017) How does dynamic pricing affect customer behavior on retailing platforms? Evidence from a large randomized experiment on Alibaba. Working paper, Olin Business School, St. Louis.Google Scholar
• Zhao X, Lim A, Guo H, Ding C, Song J-S (2019) Retail clusters in developing economies. Manufacturing Service Oper. Management 21(2):251–477.Link, Google Scholar
• Zipkin P (2000) Foundations of Inventory Management (Irwin/McGraw-Hill, Boston).Google Scholar