Author List: Tambe, Prasanna; Hitt, Lorin M.;
Information Systems Research, 2012, Volume 23, Issue 3, Page 599-617.
This paper uses newly collected panel data that allow for significant improvements in the measurement and modeling of information technology (IT) productivity to address some longstanding empirical limitations in the IT business value literature. First, we show that using generalized method of moments-based estimators to account for the endogeneity of IT spending produces coefficient estimates that are only about 10% lower than unadjusted estimates, suggesting that the effects of endogeneity on IT productivity estimates may be relatively small. Second, analysis of the expanded panel suggests that (a) IT returns are substantially lower in midsize firms than in Fortune 500 firms; (b) they materialize more slowly in large firms-in midsize firms, unlike in larger firms, the short-run contribution of IT to output is similar to the long-run output contribution; and (c) the measured marginal product of IT spending is higher from 2000 to 2006 than in any previous period, suggesting that firms, and especially large firms, have been continuing to develop new, valuable IT-enabled business process innovations. Furthermore, we show that the productivity of IT investments is higher in manufacturing sectors and that our productivity results are robust to controls for IT labor quality and outsourcing levels.
Keywords: business value of IT; econometrics; economics of IS; IT labor; productivity
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#148 0.512 productivity information technology data production investment output investments impact returns using labor value research results evidence spillovers industries analysis gains
#168 0.132 firms firm financial services firm's size examine new based result level including results industry important account does suggests characterize limited
#49 0.069 adoption diffusion technology adopters innovation adopt process information potential innovations influence new characteristics early adopting set compatibility time initial current
#176 0.062 e-commerce value returns initiatives market study announcements stock event abnormal companies significant growth positive using methodology investments period time initiative