M-Commerce, Sales Concentration, and Inventory Management

References

• Alptekinoğlu A, Corbett CJ (2010) Leadtime-variety tradeoff in product differentiation. Manufacturing Service Oper. Management 12(4):569–582.Link, Google Scholar
• Anderson C (2006) The Long Tail: Why the Future of Business Is Selling Less of More (Hyperion, New York).Google Scholar
• Angrist JD, Pischke J (2008) Mostly Harmless Econometrics: An Empiricist’s Companion (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Ariely D (2016) Time pressure: Behavioral science considerations for mobile marketing. Think with Google. Accessed November 11, 2017, http://bit.ly/2Apm9PL. Google Scholar
• Arnould EJ (1989) Toward a broadened theory of preference formation and the diffusion of innovations: Cases from Zinder province, Niger Republic. J. Consumer Res. 16(2):239–267.Crossref, Google Scholar
• Bertrand M, Duflo E, Mullainathan S (2004) How much should we trust differences-in-differences estimates? Quart. J. Econom. 119(1):249–275.Crossref, Google Scholar
• Bimpikis K, Markakis MG (2015) Inventory pooling under heavy-tailed demand. Management Sci. 62(6):1800–1813. Link, Google Scholar
• Brynjolfsson E, Hu Y, Simester D (2011) Goodbye Pareto principle, hello long tail: The effect of search costs on the concentration of product sales. Management Sci. 57(8):1373–1386.Link, Google Scholar
• Chen C, Jain N, Yang SA (2020) The impact of trade credit provision on retail inventory: An empirical investigation using synthetic controls. Preprint, last revised February 24, 2022, https://dx.doi.org/10.2139/ssrn.3375922.Google Scholar
• Cui R, Zhang DJ, Bassamboo A (2018) Learning from inventory availability information: Evidence from field experiments on amazon. Management Sci. 65(3):1216–1235.Link, Google Scholar
• Doosti S, Wang Y, Tan Y (2018) Do mobile applications bring longer tail? An empirical study of sales concentration in online channels. Preprint, last revised September 2, 2021, https://dx.doi.org/10.2139/ssrn.3255101.Google Scholar
• Ertekin N, Agrawal A (2020) How does a return period policy change affect multichannel retailer profitability? Manufacturing Service Oper. Management 23(1):210–229. Link, Google Scholar
• Fazio RH, Ledbetter JE, Towles-Schwen T (2000) On the costs of accessible attitudes: detecting that the attitude object has changed. J. Personality Soc. Psych. 78(2):197–210.Crossref, Google Scholar
• Ferreira K, Goh J (2018) Assortment rotation and the value of concealment. Harvard Business School Technology & Operations Mgt. Unit Working Paper 17-041, Cambridge, MA. Google Scholar
• Frank RH, Cook PJ (2010) The Winner-Take-All Society: Why the Few at the Top Get So Much More Than the Rest of Us (Random House, New York).Google Scholar
• Gallino S, Moreno A, Stamatopoulos I (2017) Channel integration, sales dispersion, and inventory management. Management Sci. 63(9):2813–2831.Link, Google Scholar
• Gaur V, Honhon D (2006) Assortment planning and inventory decisions under a locational choice model. Management Sci. 52(10):1528–1543.Link, Google Scholar
• Ghose A (2017) Tap: Unlocking the Mobile Economy (MIT Press, Cambridge, MA).Crossref, Google Scholar
• Girotra K, Netessine S (2013) OM Forum: Business model innovation for sustainability. Manufacturing Service Oper. Management 15(4):537–544.Link, Google Scholar
• Hendricks KB, Singhal VR (2009) Demand-supply mismatches and stock market reaction: Evidence from excess inventory announcements. Manufacturing Service Oper. Management 11(3):509–524.Link, Google Scholar
• Iacus SM, King G, Porro G, Katz JN (2012) Causal inference without balance checking: Coarsened exact matching. Political Anal. 20(1):1–24.Crossref, Google Scholar
• Kesavan S, Mani V (2013) The relationship between abnormal inventory growth and future earnings for us public retailers. Manufacturing Service Oper. Management 15(1):6–23.Link, Google Scholar
• King G, Nielsen R (2019) Why propensity scores should not be used for matching. Political Anal. 27(4):435–454.Google Scholar
• Lee HL, Tang CS (1997) Modelling the costs and benefits of delayed product differentiation. Management Sci. 43(1):40–53.Link, Google Scholar
• Lee HS, Kesavan S, Deshpande V (2017) Understanding and managing customer-induced negative externalities in congested self-service environments. Working Paper, Korean University Business School.Google Scholar
• Meola A (2022) The rise of m-commerce: Mobile shopping stats and trends. Business Insider (February 7), https://www.businessinsider.com/mobile-commerce-shopping-trends-stats.Google Scholar
• Moreno A, Terwiesch C (2016) The effects of product line breadth: Evidence from the automotive industry. Marketing Sci. 36(2):254–271.Link, Google Scholar
• Mulpuru S, Boutan V, Johnson C, Wu S, Naparstek L (2015) Forrester Research Ecommerce Forecast, 2014 to 2019 (US) (Forrester Research, Inc., Cambridge, MA).Google Scholar
• Narang U, Shankar V (2016) The effects of mobile apps on shopper purchases and product returns. Working paper, Mays Business School.Google Scholar
• Netessine S, Dobson G, Shumsky RA (2002) Flexible service capacity: Optimal investment and the impact of demand correlation. Oper. Res. 50(2):375–388.Link, Google Scholar
• Olivares M, Cachon GP (2009) Competing retailers and inventory: An empirical investigation of General Motors’ dealerships in isolated US markets. Management Sci. 55(9):1586–1604.Link, Google Scholar
• Orendorff A (2019) The state of the ecommerce fashion industry: Statistics, trends & strategy. Shopifyplus (December 4). Accessed February 20, 2019, http://bit.ly/2KY74hB. Google Scholar
• Petersen MA (2009) Estimating standard errors in finance panel data sets: Comparing approaches. Rev. Financial Stud. 22(1):435–480.Crossref, Google Scholar
• Pierce L, Snow DC, McAfee A (2015) Cleaning house: The impact of information technology monitoring on employee theft and productivity. Management Sci. 61(10):2299–2319.Link, Google Scholar
• Shankar V, Venkatesh A, Hofacker C, Naik P (2010) Mobile marketing in the retailing environment: Current insights and future research avenues. J. Interactive Marketing 24(2):111–120.Crossref, Google Scholar
• Simchi-Levi D (2010) Operations Rules: Delivering Customer Value Through Flexible Operations (MIT Press, Cambridge, MA). Google Scholar
• Simonson I (1990) The effect of purchase quantity and timing on variety-seeking behavior. J. Marketing Res. 27(2):150–162.Crossref, Google Scholar
• Soysal G, Zentner A (2014) Measuring e-commerce concentration effects when product popularity is channel-specific. Working paper, Walton College. Google Scholar
• Srivastava M (2016) Mobile phones to dominate online sales medium in India: Report. Mint (April 4), http://bit.ly/2VFBLs3.Google Scholar
• Stigler G (1961) The economics of information. J. Political Econom. 69(3):213–225.Crossref, Google Scholar
• Tan FT, Netessine S (2020) At your service on the table: Impact of tabletop technology on restaurant performance. Management Sci. 66(10):4496–4515.Link, Google Scholar
• Tan FT, Netessine S, Hitt LM (2017) Is Tom Cruise threatened? An empirical study of the impact of product variety on demand concentration. Inform. Systems Res. 28(3):643–660.Link, Google Scholar
• Wang RJ, Malthouse EC, Krishnamurthi L (2015) On the go: How mobile shopping affects customer purchase behavior. J. Retailing 91(2):217–234.Crossref, Google Scholar
• Wooldridge JM (2015) Introductory Econometrics: A Modern Approach (Nelson Education, Toronto). Google Scholar
• Xu K, Chan J, Ghose A, Han SP (2016) Battle of the channels: The impact of tablets on digital commerce. Management Sci. 63(5):1469–1492.Link, Google Scholar