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Market Structure, Uncertainty, and Intrafirm Diffusion: The Case of Optical Scanners in Grocery Stores

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  • Levin, Sharon G
  • Levin, Stanford L
  • Meisel, John B
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    Abstract

    This study uses monthly data on the adoption of optical scanners by sixty-three grocery chains in thirty-two large U.S. cities to identify the determinants of the rate of intrafirm diffusion. The methodology involves a two-stage approach that relates market environment characteristics to the estimated rate of intrafirm diffusion. The results indicate that firms with larger market shares adopt a new innovation (scanners) more quickly initially but diffuse the innovation through their stores more slowly than firms with smaller market shares. In addition, firms that lag competitors in the initial adoption of scanners tend to diffuse the innovation more quickly. Copyright 1992 by MIT Press.

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    Bibliographic Info

    Article provided by MIT Press in its journal Review of Economics & Statistics.

    Volume (Year): 74 (1992)
    Issue (Month): 2 (May)
    Pages: 345-50

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    Handle: RePEc:tpr:restat:v:74:y:1992:i:2:p:345-50

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    Web page: http://mitpress.mit.edu/journals/

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    Web: http://mitpress.mit.edu/journal-home.tcl?issn=00346535

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    Cited by:
    1. Emek Basker, 2012. "Raising the Barcode Scanner: Technology and Productivity in the Retail Sector," NBER Chapters, in: Standards, Patents and Innovations National Bureau of Economic Research, Inc.
    2. Jonathan Beck & Michal Grajek & Christian Wey, 2011. "Estimating level effects in diffusion of a new technology: barcode scanning at the checkout counter," Applied Economics, Taylor & Francis Journals, vol. 43(14), pages 1737-1748.
    3. James G. Mulligan & Nilotpal Das, 2005. "Persistent Adoption of Time-Saving Process Innovations," Working Papers 05-03, University of Delaware, Department of Economics.
    4. Battisti, Giuliana & Stoneman, Paul, 2005. "The intra-firm diffusion of new process technologies," International Journal of Industrial Organization, Elsevier, vol. 23(1-2), pages 1-22, February.
    5. Hairault, Jean-Olivier & Langot, Francois & Portier, Franck, 1997. "Time to implement and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 22(1), pages 109-121, November.
    6. Fuentelsaz, Lucio & Gomez, Jaime & Polo, Yolanda, 2003. "Intrafirm diffusion of new technologies: an empirical application," Research Policy, Elsevier, vol. 32(4), pages 533-551, April.

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