The Value of Logistic Flexibility in E-commerce

Published Online:https://doi.org/10.1287/mnsc.2023.00163

References

  • Akturk MS, Ketzenberg M (2022) Exploring the competitive dimension of omnichannel retailing. Management Sci. 68(4):2732–2750.LinkGoogle Scholar
  • Amorim P, DeHoratius N, Eng-Larsson F, Martins S (2024) Customer preferences for delivery service attributes in attended home delivery. Management Sci. 70(11):7559–7578.LinkGoogle Scholar
  • Arcidiacono P, Ellickson PB, Mela CF, Singleton JD (2020) The competitive effects of entry: Evidence from supercenter expansion. Amer. Econom. J. Appl. Econom. 12(3):175–206.CrossrefGoogle Scholar
  • Asadpour A, Wang X, Zhang J (2020) Online resource allocation with limited flexibility. Management Sci. 66(2):642–666.LinkGoogle Scholar
  • Berry ST (1992) Estimation of a model of entry in the airline industry. Econometrica 60(4):889–917.CrossrefGoogle Scholar
  • Borusyak K, Jaravel X, Spiess J (2021) Revisiting event study designs: Robust and efficient estimation. Preprint, submitted August 27, https://arxiv.org/abs/2108.12419.Google Scholar
  • Bray RL (2023) Operational transparency: Showing when work gets done. Manufacturing Service Oper. Management 25(3):812–826.LinkGoogle Scholar
  • Bresnahan TF, Reiss PC (1991) Entry and competition in concentrated markets. J. Political Econom. 99(5):977–1009.CrossrefGoogle Scholar
  • Cui R, Li M, Li Q (2020) Value of high-quality logistics: Evidence from a clash between SF Express and Alibaba. Management Sci. 66(9):3879–3902.LinkGoogle Scholar
  • Cui R, Zhang DJ, Bassamboo A (2019) Learning from inventory availability information: Evidence from field experiments on Amazon. Management Sci. 65(3):1216–1235.LinkGoogle Scholar
  • Cui R, Lu Z, Sun T, Golden JM (2024) Sooner or later? Promising delivery speed in online retail. Manufacturing Service Oper. Management 26(1):233–251.LinkGoogle Scholar
  • Deshpande V, Pendem PK (2023) Logistics performance, ratings, and its impact on customer purchasing behavior and sales in e-commerce platforms. Manufacturing Service Oper. Management 25(3):827–845.LinkGoogle Scholar
  • DeValve L, Wei Y, Wu D, Yuan R (2023) Understanding the value of fulfillment flexibility in an online retailing environment. Manufacturing Service Oper. Management 25(2):391–408.LinkGoogle Scholar
  • Fan J, Tang L, Zhu W, Zou B (2018) The Alibaba effect: Spatial consumption inequality and the welfare gains from e-commerce. J. Internat. Econom. 114:203–220.CrossrefGoogle Scholar
  • Fisher ML, Gallino S, Xu JJ (2019) The value of rapid delivery in omnichannel retailing. J. Marketing Res. 56(5):732–748.CrossrefGoogle 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.LinkGoogle Scholar
  • Gallino S, Karacaoglu N, Moreno A (2023) Need for speed: The impact of in-process delays on customer behavior in online retail. Oper. Res. 71(3):876–894.LinkGoogle Scholar
  • Gallino S, Moreno A, Stamatopoulos I (2017) Channel integration, sales dispersion, and inventory management. Management Sci. 63(9):2813–2831.LinkGoogle Scholar
  • Gao F, Su X (2017) Omnichannel retail operations with buy-online-and-pick-up-in-store. Management Sci. 63(8):2478–2492.LinkGoogle Scholar
  • Gao F, Agrawal VV, Cui S (2022) The effect of multichannel and omnichannel retailing on physical stores. Management Sci. 68(2):809–826.LinkGoogle Scholar
  • Glaeser CK, Fisher M, Su X (2019) Optimal retail location: Empirical methodology and application to practice. Manufacturing Service Oper. Management 21(1):86–102.LinkGoogle Scholar
  • Gopalakrishnan S, Matta M, Yourdshahy MI, Choudhary V (2023) Go wide or go deep? Assortment strategy and order fulfillment in online retail. Manufacturing Service Oper. Management 25(3):846–861.LinkGoogle Scholar
  • Graves SC, Tomlin BT (2003) Process flexibility in supply chains. Management Sci. 49(7):907–919.LinkGoogle Scholar
  • Griffis SE, Rao S, Goldsby TJ, Voorhees CM, Iyengar D (2012) Linking order fulfillment performance to referrals in online retailing: An empirical analysis. J. Bus. Logist. 33(4):279–294.CrossrefGoogle Scholar
  • Guler AU (2018) Inferring the economics of store density from closures: The Starbucks case. Marketing Sci. 37(4):611–630.LinkGoogle Scholar
  • Han BR, Chu LY, Sun T, Wu L (2020) Commercializing the package flow: Cross-sampling physical products through e-commerce warehouses. Preprint, submitted April 16, https://doi.org/10.2139/ssrn.3566756.Google Scholar
  • Holmes TJ (2011) The diffusion of Wal-Mart and economies of density. Econometrica 79(1):253–302.CrossrefGoogle Scholar
  • Hu M, Xu X, Xue W, Yang Y (2022) Demand pooling in omnichannel operations. Management Sci. 68(2):883–894.LinkGoogle Scholar
  • Iravani SM, Van Oyen MP, Sims KT (2005) Structural flexibility: A new perspective on the design of manufacturing and service operations. Management Sci. 51(2):151–166.LinkGoogle Scholar
  • Jiang Z, Chan T, Che H, Wang Y (2021) Consumer search and purchase: An empirical investigation of retargeting based on consumer online behaviors. Marketing Sci. 40(2):219–240.LinkGoogle Scholar
  • Jordan WC, Graves SC (1995) Principles on the benefits of manufacturing process flexibility. Management Sci. 41(4):577–594.LinkGoogle Scholar
  • Katok E, Tarantino W, Harrison TP (2003) Investment in production resource flexibility: An empirical investigation of methods for planning under uncertainty. Naval Res. Logist. 50(2):105–129.CrossrefGoogle Scholar
  • Koufteros X, Droge C, Heim G, Massad N, Vickery SK (2014) Encounter satisfaction in e-tailing: Are the relationships of order fulfillment service quality with its antecedents and consequences moderated by historical satisfaction? Decision Sci. 45(1):5–48.CrossrefGoogle Scholar
  • Long X, Sun J, Dai H, Zhang D, Zhang J, Chen Y, Hu H, Zhao B (2021) Choice overload with search cost and anticipated regret: Theoretical framework and field evidence. Preprint, submitted August 9, https://doi.org/10.2139/ssrn.3890056.Google Scholar
  • Lu SF, Lu LX (2017) Do mandatory overtime laws improve quality? Staffing decisions and operational flexibility of nursing homes. Management Sci. 63(11):3566–3585.LinkGoogle Scholar
  • Lu Z, Cui R, Sun T, Wu L (2023) The value of last-mile delivery in online retail. Preprint, submitted October 31, https://doi.org/10.2139/ssrn.4590356.Google Scholar
  • Luo J, Rong Y, Zheng H (2020) Impacts of logistics information on sales: Evidence from Alibaba. Naval Res. Logist. 67(8):646–669.CrossrefGoogle Scholar
  • Mao W, Ming L, Rong Y, Tang CS, Zheng H (2019) Faster deliveries and smarter order assignments for an on-demand meal delivery platform. Preprint, submitted October 3, https://doi.org/10.2139/ssrn.3469015.Google Scholar
  • McFadden D (2001) Economic choices. Amer. Econom. Rev. 91(3):351–378.CrossrefGoogle Scholar
  • Mishra R, Kumar Singh R, Koles B (2021) Consumer decision-making in omnichannel retailing: Literature review and future research agenda. Internat. J. Consumer Stud. 45(2):147–174.CrossrefGoogle Scholar
  • Moon K, Bimpikis K, Mendelson H (2018) Randomized markdowns and online monitoring. Management Sci. 64(3):1271–1290.LinkGoogle Scholar
  • Nevo A (2000) Mergers with differentiated products: The case of the ready-to-eat cereal industry. RAND J. Econom. 31(3):395–421.CrossrefGoogle Scholar
  • Nishida M (2015) Estimating a model of strategic network choice: The convenience-store industry in Okinawa. Marketing Sci. 34(1):20–38.LinkGoogle Scholar
  • Qin H, Simchi-Levi D, Ferer R, Mays J, Merriam K, Forrester M, Hamrick A (2022) Trading safety stock for service response time in inventory positioning. Preprint, submitted April 6, https://doi.org/10.2139/ssrn.4066119.Google Scholar
  • Salari N, Liu S, Shen ZJM (2022) Real-time delivery time forecasting and promising in online retailing: When will your package arrive? Manufacturing Service Oper. Management 24(3):1421–1436.LinkGoogle Scholar
  • Ursu RM (2018) The power of rankings: Quantifying the effect of rankings on online consumer search and purchase decisions. Marketing Sci. 37(4):530–552.LinkGoogle Scholar
  • Van Mieghem JA (1998) Investment strategies for flexible resources. Management Sci. 44(8):1071–1078.LinkGoogle Scholar
  • Xu Z, Zhang H, Zhang J, Zhang RQ (2020) Online demand fulfillment under limited flexibility. Management Sci. 66(10):4667–4685.LinkGoogle Scholar
  • Yang B, Chan T, Thomadsen R (2019) A salesforce-driven model of consumer choice. Marketing Sci. 38(5):871–887.LinkGoogle Scholar
  • Zhang S, Lee D, Singh PV, Srinivasan K (2022a) What makes a good image? Airbnb demand analytics leveraging interpretable image features. Management Sci. 68(8):5644–5666.LinkGoogle Scholar
  • Zhang W, Tang CS, Ming L, Cheng Y (2022b) Reducing traffic incidents in meal deliveries: Penalize the platform or its independent drivers? Preprint, submitted September 29, https://ssrn.com/abstract=4231746.Google Scholar
  • Zhang DJ, Dai H, Dong L, Wu Q, Guo L, Liu X (2019) The value of pop-up stores on retailing platforms: Evidence from a field experiment with Alibaba. Management Sci. 65(11):5142–5151.LinkGoogle Scholar
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