Industry Level Supplier-Driven IT Spillovers
We model and estimate the effects to downstream productivity from information technology (IT) investments made upstream. Specifically, we examine how an industry’s productivity is affected by the IT capital stock of its suppliers. These supplier-driven IT spillovers occur because, due to competition in the supplying industry, quality benefits from suppliers’ IT investments can pass downstream. If the output deflators of supplying industries (consequently the intermediate input deflator of the using industries) do not capture the quality improvement from IT, then the output productivity of the supplying industries is mismeasured or misassigned. We develop and empirically test a model capturing these supplier-driven effects using data on 85 manufacturing industries at the three-digit SIC code level. We find that for a 10.5% increase in suppliers’ IT capital, the suppliers’ output increases by 0.63%–0.70%, which is more than covering the cost of the increase in suppliers’ IT capital. In addition, this increase in suppliers’ IT capital increases the average downstream industry’s output by $66–$72 million, thereby confirming substantial supplier-driven IT spillovers downstream. We also infer the magnitude of the measurement error of the price deflator of the intermediate input resulting from the failure to account for IT-related quality improvement, finding that the measured price deflator overestimates the true deflator by approximately 30% at the mean level of IT capital.
*INFORMS: unless published under the open access option, the publisher will provide a specific copy of the paper that can be posted to a web page https://www.informs.org/Find-Research-Publications/INFORMS-Journals/Rights-Permissions#work. Article deposited according to publisher's policy 05/25/2015
Value of IT, IT investment, IT quality, Interorganizational systems (IOSs), Production function framework, input-output tables, Price deflator, IT contribution
Cheng, Z., and B.R. Nault, “Industry Level Supplier-Driven IT Spillovers,” Management Science, 53, 8 (August 2007), 1199-1216.