Do High and Low Inventory Turnover Retailers Respond Differently to Demand Shocks?
Published Online:21 Jan 2016https://doi.org/10.1287/msom.2015.0571
References
- (1997) Fundamental analysis, future earnings, and stock prices. J. Accounting Res. 35(1):1–24.Crossref, Google Scholar
- (1999) The dynamics of markups and inventories in retailing firms. Rev. Econom. Stud. 66(2):275–308.Crossref, Google Scholar
- (2014) Does inventory productivity predict future stock returns? A retailing industry perspective. Management Sci. 60(10):2416–2434.Link, Google Scholar
- (2015) A simple heuristic for joint inventory and pricing models with lead time and backorders. Management Sci., ePub ahead of print November 25, http://dx.doi.org/10.1287/mnsc.2015.2227.Google Scholar
- (1990) Direct and indirect effects: Classical and bootstrap estimates of variability. Sociol. Methodology 20(1):115–140.Crossref, Google Scholar
- (1998) Does consumer confidence forecast household expenditure? A sentiment index horse race. Econom. Policy Rev. 4(2):59–78.Google Scholar
- (2012) Information transmission and the bullwhip effect. Management Sci. 58(5):860–875.Link, Google Scholar
- (2007) In search of the bullwhip effect. Manufacturing Service Oper. Management 9(4):457–479.Link, Google Scholar
- (1988) Stock prices, earnings, and expected dividends. J. Finance 43(3):661–676.Crossref, Google Scholar
- (1994) Does consumer sentiment forecast household spending: If so why? Amer. Econom. Rev. 84(5):1397–1408.Google Scholar
- (2014) As ties with China unravel, U.S. companies head to Mexico. New York Times (May 31), http://www.nytimes.com/2014/06/01/world/americas/as-ties-with-china-unravel-us-companies-head-to-mexico.html.Google Scholar
- (2007) U.S. retail and wholesale inventory performance from 1981 to 2004. Manufacturing Service Oper. Management 9(4):430–456.Link, Google Scholar
- (2012) Bullwhip effect measurement and its implications. Oper. Res. 60(4):771–784.Link, Google Scholar
- (2004) Coordinating inventory control and pricing strategies with random demand and fixed ordering cost: The infinite horizon case. Oper. Res. 52(6):887–896.Link, Google Scholar
- (2006) Optimal pricing and inventory control policy in periodic-review systems with fixed ordering cost and lost sales. Naval Res. Logist. 53(2):117–136.Crossref, Google Scholar
- (1999) Sustained spending and persistent response: A new look at long-term marketing profitability. J. Marketing Res. 36(4):397–412.Crossref, Google Scholar
- (2004) Consumer sentiment, the economy, and the news media. Working Paper 2004-09, Federal Reserve Bank of San Francisco, San Francisco.Google Scholar
- (1995) Applied Econometric Time Series (John Wiley & Sons, New York).Google Scholar
- (1989) International transmission of stock market movements. J. Financial Quant. Anal. 24(2):241–256.Crossref, Google Scholar
- (1993) Common risk factors in the returns on stocks and bonds. J. Financial Econom. 33(1):3–56.Crossref, Google Scholar
- (1997) What is the right supply chain for your product? Harvard Bus. Rev. 75(2):105–116.Google Scholar
- (2005) An econometric analysis of inventory turnover performance in retail services. Management Sci. 51(2):181–194.Link, Google Scholar
- (2005) Information sharing in a supply chain under ARMA demand. Management Sci. 51(6):961–969.Link, Google Scholar
- (1999) A single-item inventory model for a nonstationary demand process. Manufacturing Service Oper. Management 1(1):50–61.Link, Google Scholar
- (1991) Measuring the information content of stock trades. J. Finance. 46(1):179–207.Crossref, Google Scholar
- (1969) Sequential decision problems: A model to exploit existing forecasters. Management Sci. 16(2):93–111.Link, Google Scholar
- (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
- (1987) The strategic role of product quality. J. Marketing 51(4):31–44.Crossref, Google Scholar
- (2014) Managing global sourcing: Inventory performance. Management Sci. 60(5):1202–1222.Link, Google Scholar
- (2014) Differences in retail inventory investment behavior during macroeconomic shocks: Role of service level. Production Oper. Management 23(12):2118–2136.Crossref, Google Scholar
- (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
- (2010) Do inventory and gross margin data improve sales forecasts for U.S. public retailers? Management Sci. 56(9):1519–1533.Link, Google Scholar
- (2007) How business cycles contribute to private-label success: Evidence from the U.S. and Europe. J. Marketing 71(1):1–15.Crossref, Google Scholar
- (2015) Inventory write-downs, sales growth, and ordering policy: An empirical investigation of dynamic ordering policies. Management Sci. 61(9):2118–2138.Link, Google Scholar
- (2004) Information distortion in a supply chain: The bullwhip effect. Management Sci. 50(12):1875–1886.Link, Google Scholar
- (2000) The value of information sharing in two-level supply chain. Management Sci. 46(5):626–643.Link, Google Scholar
- (2006) Consumer confidence and asset prices: Some empirical evidence. Rev. Financial Stud. 19(4):1499–1529.Crossref, Google Scholar
- (1993) Fundamental information analysis. J. Accounting Res. 31(2):190–190.Crossref, Google Scholar
- (2002) Unit root tests in panel data: Asymptotic and finite-sample properties. J. Econometrics 108(1):1–24.Crossref, Google Scholar
- (2004) Consumer confidence and consumer spending. J. Econom. Perspect. 18(2):29–50.Crossref, Google Scholar
- (1988) Demand uncertainty and sales: A study of fashion and markdown pricing. Amer. Econom. Rev. 78(5):936–953.Google Scholar
- (2004) New products, sales promotion, and firm value: The case of automobile industry. J. Marketing. 68(4):142–156.Crossref, Google Scholar
- (2013) Impact of variety and distribution system characteristics on inventory levels at U.S. retailers. Manufacturing Serivce Oper. Management 15(2):191–204.Link, Google Scholar
- (2005) David Berman. Case 605-081, Harvard Business School, Boston.Google Scholar
- (2007a) What can be learned from classical inventory models? A cross-industry exploratory investigation. Manufacturing Service Oper. Management 9(4):409–429.Link, Google Scholar
- (2007b) Should inventory policy be lean or responsive? Evidence for U.S. public companies. SSRN working paper, http://dx.doi.org/10.2139/ssrn.2319834.Google Scholar
- (1978) Estimating dimensions of a model. Ann. Statist. 6(2):461–464.Crossref, Google Scholar
- (1980) Macroeconomics and reality. Econometrica 48(1):1–48.Crossref, Google Scholar
- (1999) Error bands for impulse responses. Econometrica 67(5):1113–1155.Crossref, Google Scholar
- (2004) Expectations, heterogeneous forecast errors, and consumption: Micro evidence from the Michigan consumer sentiment surveys. J. Money Credit Banking. 36(1):39–72.Crossref, Google Scholar
- (1989) Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Sci. 35(3):321–339.Link, Google Scholar
- (2001) Vector autoregressions. J. Econom. Perspect. 15(4):101–115.Crossref, Google Scholar
- (2000) Identifying unexpected accruals: A comparison of current approaches. J. Accounting Public Policy 19(4–5):347–376.Crossref, Google Scholar
- (1997) On stock market returns and monetary policy. J. Finance 52(2):635–654.Crossref, Google Scholar
- (2009) Effect of word-of-mouth versus traditional marketing: Findings from a Internet social networking site. J. Marketing 73(September):90–102.Crossref, Google Scholar
- (2008) Operations Strategy (Dynamic Ideas, Belmont, MA).Google Scholar
- (2010) Optimal control and equilibrium behavior of production-inventory systems. Management Sci. 56(8):1362–1379.Link, Google Scholar

