Exploring the Competitive Dimension of Omnichannel Retailing

Published Online:https://doi.org/10.1287/mnsc.2021.4008

References

  • Abdulla H, Ketzenberg M, Abbey JD (2019) Taking stock of consumer returns: A review and classification of the literature. J. Oper. Management 65(6):560–605.CrossrefGoogle Scholar
  • Acemoglu D, Autor DH (2004) Women, war, and wages: The effect of female labor supply on the wage structure at midcentury. J. Political Econom. 112(3):497–551.CrossrefGoogle Scholar
  • Akturk MS, Ketzenberg M, Heim GR (2018) Assessing impacts of introducing ship-to-store service on sales and returns in omnichannel retailing: A data analytics study. J. Oper. Management 61(1):15–45.CrossrefGoogle Scholar
  • Andrews M, Goehring J, Hui S, Pancras J, Thornswood L (2016) Mobile promotions: A framework and research priorities. J. Interactive Marketing 34(May):15–24.CrossrefGoogle Scholar
  • Athey S, Imbens GW (2006) Identification and inference in nonlinear difference-in-differences models. Econometrica 74(2):431–497.CrossrefGoogle Scholar
  • Baymard Institute (2017) Reasons for abandonment during checkout. Accessed November 16, 2019, https://baymard.com/checkout-usability.Google Scholar
  • Bell D, Gallino S, Moreno A (2018) Offline showrooms in omnichannel retail: Demand and operational benefits. Management Sci. 64(4):1629–1651.LinkGoogle Scholar
  • Bendoly E, Blocher JD, Brethauer KM, Krisnan S, Venkataramanan MA (2005) Online/in-store integration and customer retention. J. Service Res. 7(4):313–327.CrossrefGoogle Scholar
  • Bertrand M, Duflo E, Mullainathan S (2004) How much should we trust differences-in-differences? Quart. J. Econom. 119(1):249–275.CrossrefGoogle Scholar
  • Bonfrer A, Chintagunta PK, Roberts JH, Corkindale D (2020) Assesing the sales impact if plain packaging regulation for cigarettes: Evidence from Australia. Marketing Sci. 39(1):244–252.LinkGoogle Scholar
  • Cao L, Li L (2015) The impact of cross-channel integration on retailers’ sales growth. J. Retailing 91(2):198–216.CrossrefGoogle Scholar
  • Coresight Research (2019) What categories do us shoppers most use BOPIS services for? (April 29), https://coresight.com/research/what-categories-do-us-shoppers-most-use-bopis-services-for/.Google Scholar
  • DeHoratius N, Raman A (2008) Inventory record inaccuracy: An empirical analysis. Management Sci. 54(4):627–641.LinkGoogle Scholar
  • Duflo E (2001) Schooling and labor market consequences of school construction in Indonesia: Evidence from an unusual policy experiment. Amer. Econom. Rev. 91(4):795–813.CrossrefGoogle Scholar
  • Flavián C, Gurrea R, Orús C (2016) Choice confidence in the webrooming purchase process: The impact of online positive reviews and the motivation to touch. J. Consumer Behav. 15(5):459–476.CrossrefGoogle Scholar
  • Flavián C, Gurrea R, Orús C (2019) Feeling confident and smart with webrooming: Understanding the customer’s path to satisfaction. J. Interact. Marketing 47(August):1–15.CrossrefGoogle Scholar
  • Forman C, Ghose A, Goldfarb A (2009) Competition between local and electronic markets: How the benefit of buying online depends on where you live. Management Sci. 55(1):47–57.LinkGoogle 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, Moreno A, Stamatopoulos I (2017) Channel integration, sales dispersion, and inventory management. Management Sci. 63(9):2813–2831.LinkGoogle Scholar
  • Gao F, Su X (2017a) Omnichannel retail operations with buy-online-and-pick-up-in-store. Management Sci. 63(8):2478–2492.LinkGoogle Scholar
  • Gao F, Su X (2017b) Online and offline information for omnichannel retailing. Manufacturing Service Oper. Management 19(1):84–98.LinkGoogle Scholar
  • Gray JV, Anand G, Roth AV (2015) The influence of ISO 9000 certification on process compliance. Production Oper. Management 24(3):369–382.CrossrefGoogle Scholar
  • Gümüş M, Li S, Oh W, Ray S (2013) Shipping fees or shipping free? A tale of two price partioning strategies in online retailing. Production Oper. Management 22(4):758–776.CrossrefGoogle Scholar
  • Herhausen D, Binder J, Schoegel M, Herrmann A (2015) Integrating bricks with clicks: Retailer-level and channel-level outcomes of online-offline channel integration. J. Retailing 91(2):309–325.CrossrefGoogle Scholar
  • Hess JD, Mayhew GE (1997) Modeling merchandise returns in direct marketing. J. Direct Marketing 11(2):20–35.CrossrefGoogle Scholar
  • Huang T, Van Mieghem JA (2014) Clickstream data and inventory management: Model and empirical analysis. Production Oper. Management 23(3):333–347.CrossrefGoogle Scholar
  • Jing B (2018) Showrooming and webrooming: Information externalities between online and offline sellers. Marketing Sci. 37(3):469–483.LinkGoogle Scholar
  • Kök AG, Shang KH (2007) Inspection and replenishment policies for systems with inventory record inaccuracy. Manufacturing Service Oper. Management 9(2):185–205.LinkGoogle Scholar
  • Lewis M, Singh V, Fay S (2006) An empirical study of the impact of nonlinear shipping and handling fees on purchase incidence and expenditure decisions. Marketing Sci. 25(1):51–64.LinkGoogle Scholar
  • Lins KV, Servaes H, Tamayo A (2017) Social capital, trust, and firm performance: The value of corporate social responsibility during the financial crisis. J. Finance 72(4):1785–1824.CrossrefGoogle Scholar
  • National Retail Federation (2019) NRF study says more online shoppers want free shipping. Press release (January 15), National Retail Federation, Washington, DC. https://nrf.com/media-center/press-releases/nrf-study-says-more-online-shoppers-want-free-shipping.Google Scholar
  • Papke LE, Wooldridge JM (2008) Panel data methods for fractional response variables with an application to test pass rates. J. Econometrics 145(1–2):121–133.CrossrefGoogle Scholar
  • Perdikaki O, Kumar S, Sriskandarajah C (2017) Managing retail budget allocation between store labor and marketing activities. Production Oper. Management 26(9):1615–1631.CrossrefGoogle Scholar
  • Rabinovich E, Rui S, Park S, Golora S (2018) Omnichannel retailing as a balancing act between in-store and home fulfillment. Working paper, Arizona State University, Tempe.Google Scholar
  • Ramalho EA, Ramalho JJS, Coelho LMS (2018) Exponential regression of fractional-response fixed-effects models with an application to firm capital structure. J. Econom. Methods 7(1):1–18.Google Scholar
  • Retail Info Systems (RIS) (2012) The top 10 department stores. (August 28), https://risnews.com/top-10-department-stores-0.Google Scholar
  • Song H, Tucker AL, Murrell KL (2015) The diseconomies of queue pooling: An empirical investigation of emergency department length of stay. Management Sci. 61(12):3032–3053.LinkGoogle Scholar
  • Song H, Tucker AL, Murrell KL, Vinson DR (2018) Closing the productivity gap: Improving worker productivity through public relative performance feedback and validation of best practices. Management Sci. 64(6):2628–2649.LinkGoogle Scholar
  • Stamatopoulos I, Bassamboo A, Moreno A (2021) The effects of menu costs on retail performance: Evidence from adoption of the electronic shelf label technology. Management Sci. 67(1):242–256.Google Scholar
  • Statista (2018) Share of internet users who have purchased selected products online in the past 12 months as of 2018. Accessed May 24, 2020, https://www.statista.com/statistics/276846/reach-of-top-online-retail-categories-worldwide/.Google Scholar
  • Statista (2019) Primary reason for digital shoppers in the United States to abandon their carts as of November 2018. Accessed November 16, 2019, https://www.statista.com/statistics/379508/primary-reason-for-digital-shoppers-to-abandon-carts/.Google Scholar
  • von Briel F (2018) The future of omnichannel retail: A four stage delphi study. Tech. Forecasting Soc. Change 132(1):217–229.CrossrefGoogle Scholar
  • Wang K, Goldfarb A (2017) Can offline stores drive online sales? J. Marketing Res. 54(5):706–719.CrossrefGoogle Scholar
  • Wang LK, Anderson ET, Hansen K, Simester D (2009) How price affects product returns: The perceived value and incremental customer effects. Unpublished doctoral dissertation, Northwestern University, Evanston, IL.Google Scholar
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