Optimal Retail Location: Empirical Methodology and Application to Practice
Finalist–2017 M&SOM Practice-Based Research Competition
Published Online:6 Feb 2019https://doi.org/10.1287/msom.2018.0759
References
- (2012) Measuring the impact of negative demand shocks on car dealer networks. Marketing Sci. 31(1):4–23.Link, Google Scholar
- (2009) Modeling competitive facility location problems: New approaches and results. Oskoorouchi M, ed. Decision Technologies and Applications, TutORials in Operations Research (INFORMS, Cantonsville, MD), 156–181.Link, Google Scholar
- (2003) An exploratory analysis of extended grocery supply chain operations and home delivery. Integrated Manufacturing Systems 14(8):652–663.Crossref, Google Scholar
- (2001) Random forests. Machine Learn. 45(1):5–32.Crossref, Google Scholar
- Bureau of the Census (1994) Geographic areas reference manual. Accessed August 10, 2016, http://www2.census.gov/geo/pdfs/reference/GARM/Ch11GARM.pdf.Google Scholar
- (2012) Clearance pricing optimization for a fast-fashion retailer. Oper. Res. 60(6):1404–1422.Link, Google Scholar
- (1995) Support-vector networks. Machine Learn. 20(3):273–297.Crossref, Google Scholar
- (2017) The operational value of social media information. Production Oper. Management 27(10):1749–1769.Crossref, Google Scholar
- (2013) Network and Discrete Location: Models, Algorithms, and Applications (John Wiley & Sons, New York).Crossref, Google Scholar
- (2015) Analytics for an online retailer: Demand forecasting and price optimization. Manufacturing Service Oper. Management 18(1):69–88.Link, Google Scholar
- (1996) Reducing the cost of demand uncertainty through accurate response to early sales. Oper. Res. 44(1):87–99.Link, Google Scholar
- (2014) A demand estimation procedure for retail assortment optimization with results from implementations. Management Sci. 60(10):2401–2415.Link, Google Scholar
- (2001) The Elements of Statistical Learning, Springer Series in Statistics, 1st ed. (New York, NY).Google Scholar
- (2007) Estimating demand uncertainty using judgmental forecasts. Manufacturing Service Oper. Management 9(4):480–491.Link, Google Scholar
- (1995) Multifacility retail networks. Drezner Z, ed. Facility Location—A Survey of Applications and Methods (Springer, New York), 301–330.Crossref, Google Scholar
- (2016) Deep Learning (MIT Press, Cambridge, MA).Google Scholar
- (1929) Stability in competition. Econom. J. 39(153):41–57.Crossref, Google Scholar
- (1964) Defining and estimating a trading area. J. Marketing 28(3):34–38.Crossref, Google Scholar
- (1983) The simple plant location problem: Survey and synthesis. Eur. J. Oper. Res. 12(1):36–81.Crossref, Google Scholar
- (2002) Classification and regression by randomforest. R News 2(3):18–22.Google Scholar
- (2009) Facility location and supply chain management—A review. Eur. J. Oper. Res. 196(2):401–412.Crossref, Google Scholar
- (2013) Spatial differentiation in the supermarket industry: The role of common information. Quant. Marketing Econom. 11(1):3–37.Crossref, Google Scholar
- (1998) Strategic facility location: A review. Eur. J. Oper. Res. 111(3):423–447.Crossref, Google Scholar
- (2012) Empirical investigation of retail expansion and cannibalization in a dynamic environment. Management Sci. 58(11):2001–2018.Link, Google Scholar
- (1929) Methods for the Study of Retail Relationships. University of Texas, Bureau of Business Research, Research Monograph No. 4.Google Scholar
- (2006) Facility location under uncertainty: A review. IIE Trans. 38(7):547–564.Crossref, Google Scholar
- (2013) Effects of opening and closing stores on chain retailer performance. J. Retailing 89(2):126–139.Crossref, Google Scholar
- (2007) Product positioning and competition: The role of location in the fast food industry. Marketing Sci. 26(6):792–804.Link, Google Scholar
- (2016) 2016 annual report. Accessed on August 10, 2016, https://s2.q4cdn.com/056532643/files/doc_financials/2016/annual/2016-Annual-Report-PDF.pdf.Google Scholar
- (2016) Spatial competition and preemptive entry in the discount retail industry. Working paper, Columbia University, New York, https://ssrn.com/abstract=2775498.Google Scholar
- (2018) Customer preference and station network in the london bike share system. Working paper, Columbia University, New York, https://ssrn.com/abstract=3121791.Google Scholar

