Abstract
Past research shows that inventory turnover varies substantially across firms as well as over time. A significant portion of this variation can be explained by gross margin, capital intensity, and sales surprise (the ratio of actual sales to expected sales for the year). We extend econometric models of inventory turnover by investigating the effects of firm size and sales growth rate on inventory turnover using data for 353 public listed US retailers for the period 1985–2003. With respect to size, we find strong evidence of diminishing returns to scale. With respect to sales growth rate, we find that inventory turnover increases with sales growth rate, but its rate of increase depends on firm size and on whether sales growth rate is positive or negative. Our results are useful in (1) helping managers make aggregate-level inventory decisions by showing how inventory turnover changes with size and sales growth, (2) employing inventory turnover in performance analysis, benchmarking and working capital management, and (3) identifying the causes of performance differences among firms and over time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The data set consists of a large cross-section of US public listed retailers for the time-period 1985–2003. The data set is summarized in Sect. 3.
- 2.
This section of Silver et al. (1998) focuses on estimation of demand uncertainty. It does not refer to this relationship as economies of scale.
- 3.
A counter argument is that as a retailer increases in size, it might have better forecasting tools and thus, might be better able to get the right product to the right place (and therefore, increase turns). Retailers’ ability to forecast may even vary non-linearly in size: they may be really good at forecasting when they are very small (not listed publicly, and hence, omitted from our data set), have difficulty as they grow and until they have reached a size such that they have good systems in place and are incorporating sophisticated decision support tools. We incorporate such differences in systems in our model by using capital intensity as a control variable.
- 4.
Relative size, Sales(i,t − 1)/Sales(i,0), yields identical results in an intra-firm model.
References
Alan, Y., Gao, G., Gaur, V. (2014). Does inventory turnover predict future stock return? A retailing industry perspective. Management Science. (Forthcoming).
Balakrishnan, R., Linsmeier, T. J., & Venkatachalam, M. (1996). Financial benefits from JIT adoption: effects of consumer concentration and cost structure. Accounting Review, 71, 183–205.
Billesbach, T.J., Hayen, R. (1994). Long-term impact of JIT on inventory performance measures. Production and Inventory Management Journal, 62–67, First Quarter.
Bray, R., & Mendelson, H. (2012). Information transmission and the bullwhip effect: an empirical investigation. Management Science, 58(5), 860–875.
Cachon, G., Randall, T., & Schmidt, G. (2007). In search of the bullwhip effect. Manufacturing & Service Operations Management, 9(4), 457–479.
Cachon, G., & Olivares, M. (2010). Drivers of finished goods inventory in the U.S. automobile industry. Management Science, 56(1), 202–216.
Chang, D., & Lee, S. M. (1995). Impact of JIT on organizational performance of U.S. firms. International Journal of Production Research, 33, 3053–3068.
Chen, H., Frank, M. Z., & Wu, O. Q. (2005). What actually happened to the inventories of American companies between 1981 and 2000? Management Science, 51, 1015–1031.
Chen, H., Frank, M. Z., & Wu, O. Q. (2007). U.S. retail and wholesale inventory performance from 1981 to 2004. Manufacturing & Service Operations Management, 9(4), 430–456.
Eppen, G. (1979). Effect of centralization on expected costs in a multi-location Newsboy problem. Management Science, 25(5), 498–501.
Eppen, G., & Schrage, L. (1981). Centralized ordering policies in a multi-warehouse system with lead times and random demand. In L. Schwarz (Ed.), Multi-level production/inventory control systems: theory and practice (Vol. 16). North Holland, Amsterdam: TIMS Studies in the Management Sciences.
Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3–56.
Gaur, V., Fisher, M. L., & Raman, A. (1999). What explains superior retail performance? (Working paper). Ithaca, NY: Cornell University.
Gaur, V., Fisher, M. L., & Raman, A. (2005). An econometric analysis of inventory turnover performance in retail services. Management Science, 51, 181–194.
Huson, M., & Nanda, D. (1995). The impact of just-in-time manufacturing on firm performance. Journal of Operations Management, 12, 297–310.
Jain, N., Girotra, K., Netessine, S. (2013). Managing global sourcing: inventory performance. Management Science. (Forthcoming)
Kesavan, S., Gaur, V., & Raman, A. (2010). Do inventory and gross margin data improve sales forecasts for U.S public retailers? Management Science, 56(9), 1519–1533.
Kesavan, S., & Mani, V. (2013). The relationship between abnormal inventory growth and future earnings for U.S. public retailers. Manufacturing & Service Operations Management, 15(1), 6–23.
Lieberman, M. B., & Demeester, L. (1999). Inventory reduction and productivity growth: linkages in the Japanese automotive industry. Management Science, 45, 466–485.
Makridakis, S., Wheelwright, S. C., & Hyndman, R. J. (1998). Forecasting: methods and applications (3rd ed.). New York, NY: Wiley.
Olivares, M., & Cachon, G. (2009). Competing retailers and inventory: an empirical investigation of General Motors’ dealerships in isolated U.S. markets. Management Science, 55(9), 1586–1604.
Olivares, M., Terwiesch, C., & Cassorla, L. (2008). Structural estimation of the newsvendor model: an application to reserving operating room time. Management Science, 54(1), 41–55.
Rajagopalan, S., & Malhotra, A. (2001). Have U.S. manufacturing inventories really decreased? An empirical study. Manufacturing & Service Operations Management, 3, 14–24.
Raman, A., Gaur, V., Kesavan, S. (2005). David Berman. Harvard Business School Case 605-081.
Rumyantsev, S., & Netessine, S. (2007). What can be learned from classical inventory models? A cross-industry exploratory investigation. Manufacturing & Service Operations Management, 9(4), 409–429.
Sack, K. (2000). Retailing: general industry survey. New York, NY: Standard & Poor’s.
Schroeder, L., Sqoquist, D., & Stephan, P. (1986). Understanding regression analysis. London: Sage Publications.
Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory management and production planning and scheduling (3rd ed.). New York, NY: Wiley.
Acknowledgement
The authors are thankful to the series editors, Naren Agrawal and Stephen Smith, and anonymous reviewers for many helpful comments on this manuscript. The questions of the effects of firm size and sales growth rate on inventory turnover were suggested to the first author by Marshall Fisher and Ananth Raman.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media New York
About this chapter
Cite this chapter
Gaur, V., Kesavan, S. (2015). The Effects of Firm Size and Sales Growth Rate on Inventory Turnover Performance in the U.S. Retail Sector. In: Agrawal, N., Smith, S. (eds) Retail Supply Chain Management. International Series in Operations Research & Management Science, vol 223. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7562-1_3
Download citation
DOI: https://doi.org/10.1007/978-1-4899-7562-1_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7561-4
Online ISBN: 978-1-4899-7562-1
eBook Packages: Business and EconomicsBusiness and Management (R0)