Author List: Cheng, Zhuo; Nault, Barrie R.;
Information Systems Research, 2012, Volume 23, Issue 2, Page 340-355.
We examine how one industry's productivity is affected by the IT capital of its customers and how this effect depends on industries' relative concentration. These customer-driven IT spillovers result from customers' IT investments in various information systems that reduce transaction costs through information sharing and coordination and lead to more efficient production and logistics upstream. The magnitude of IT spillovers depends on relative industry concentration because customers in more concentrated industries relative to those of their suppliers are better able to retain the benefits from their IT investments. We model customer-driven effects based on production theory and empirically test the model using two industry-level data sets covering different and overlapping time periods (1987-1999 and 1998-2005), different scopes of the economy (manufacturing only versus all industries), and different levels of industry aggregation. We find that, given an increase in a downstream industry's IT capital, there is a significant increase in downstream industry output as well as significant increases in upstream industry output. Moreover, the magnitude of IT spillovers is related to relative industry concentration: A 1% decrease in a customer's relative industry concentration increases spillovers by roughly 1%. Thus, further increases in IT capital can be justified along the supply chain, and an industry's relative concentration-which can reflect market power-in part determines the distribution of productivity benefits.
Keywords: business value of IT; economics of IS; industry concentration; input-output tables; IT-enabled supply chains; production function framework; spillovers
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#29 0.381 industry industries firms relative different use concentration strategic acquisitions measure competitive examine increases competition influence result characteristics mergers industry-level functions
#148 0.269 productivity information technology data production investment output investments impact returns using labor value research results evidence spillovers industries analysis gains
#52 0.108 supply chain information suppliers supplier partners relationships integration use chains technology interorganizational sharing systems procurement buyer interfirm coordination enterprises flexibility
#151 0.070 costs cost switching reduce transaction increase benefits time economic production transactions savings reduction impact services reduced affect expected optimal associated