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Evaluating food retailing efficiency: the role of information technology

  • Timothy Park

    ()

  • Robert King

Information and internet-based technologies have fostered new supply chain initiatives in food retailing but little research has evaluated performance and efficiency impacts. A distance function based on three key performance measures for food retailers is used to evaluate store performance and efficiency. The effects of store format, membership in a chain, unionization, and the adoption of a variety of information technologies. Supply chain technologies are groups into three general categories including data sharing technologies, decision sharing technologies, and technologies that support product assortment, pricing, and merchandising decisions. Copyright Springer Science+Business Media, LLC 2007

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File URL: http://hdl.handle.net/10.1007/s11123-006-0030-6
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Article provided by Springer in its journal Journal of Productivity Analysis.

Volume (Year): 27 (2007)
Issue (Month): 2 (April)
Pages: 101-113

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Handle: RePEc:kap:jproda:v:27:y:2007:i:2:p:101-113
Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=100296

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  1. Keh, Hean Tat & Chu, Singfat, 2003. "Retail productivity and scale economies at the firm level: a DEA approach," Omega, Elsevier, vol. 31(2), pages 75-82, April.
  2. Martin Neil Baily & Robert M. Solow, 2001. "International Productivity Comparisons Built from the Firm Level," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 151-172, Summer.
  3. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, And The Demand For Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, MIT Press, vol. 117(1), pages 339-376, February.
  4. Susan Cohen Kulp & Hau L. Lee & Elie Ofek, 2004. "Manufacturer Benefits from Information Integration with Retail Customers," Management Science, INFORMS, vol. 50(4), pages 431-444, April.
  5. Hoppe, Heidrun C, 2002. "The Timing of New Technology Adoption: Theoretical Models and Empirical Evidence," Manchester School, University of Manchester, vol. 70(1), pages 56-76, January.
  6. Jean Kinsey, 2000. "A Faster, Leaner, Supply Chain: New Uses of Information Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1123-1129.
  7. King, Robert P. & Jacobson, Elaine M. & Seltzer, Jonathan M., 2002. "The 2002 Supermarket Panel Annual Report," Supermarket Panel Reports 14356, University of Minnesota, The Food Industry Center.
  8. Robert P. King & Paul F. Phumpiu, 1996. "Reengineering the Food Supply Chain: The ECR Initiative in the Grocery Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1181-1186.
  9. Richard A. Jensen, 2004. "Multiplant Firms and Innovation Adoption and Diffusion," Southern Economic Journal, Southern Economic Association, vol. 70(3), pages 661-671, January.
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