Author List: Chang, Young Bong; Gurbaxani, Vijay;
Information Systems Research, 2013, Volume 24, Issue 3, Page 561-578.
We analyze the impact of information technology (IT) on the technical efficiency of firms in the context of their observed competitive settings. Because competition can be a driver of efficiency and industries display varying degrees of competitiveness, firm-level efficiency is likely to display considerable heterogeneity. To shed light on these questions, we analyze the economic impact of IT on technical efficiency, a key component of efficiency, in heterogeneous competitive settings. Our study employs a number of econometric techniques, including a stochastic frontier and a generalized method of moments approach, on data from firms in a wide cross-section of industries. We find, after controlling for firm-level heterogeneity and potential endogeneity, that IT is positively associated with gains in technical efficiency but its impact is moderated by the degree of competition. Firms display large variation in their levels of technical efficiency partly because of the heterogeneous market competitiveness conditions they face. In more competitive industries, firms tend to deploy IT more intensively and use it more efficiently. Our study makes a distinct contribution relative to prior studies that have focused on the productivity impacts of IT while assuming perfect competition and not allowing for potential heterogeneity in firm-level efficiency. Overall, our results demonstrate that IT and competition are significant determinants of gains in technical efficiency and provide insight into how competition affects the returns to IT investment.
Keywords: business value of IT; competition; economics of IS; productivity; technical efficiency
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#148 0.215 productivity information technology data production investment output investments impact returns using labor value research results evidence spillovers industries analysis gains
#93 0.193 performance results study impact research influence effects data higher efficiency effect significantly findings impacts empirical significant suggest outcomes better positive
#220 0.127 research study different context findings types prior results focused studies empirical examine work previous little knowledge sources implications specifically provide
#242 0.125 market competition competitive network markets firms products competing competitor differentiation advantage competitors presence dominant structure share using incumbent make important
#208 0.104 feedback mechanisms mechanism ratings efficiency role effective study economic design potential economics discuss profile recent component granularity turn compared using
#161 0.056 role relationship positively light important understanding related moderating frequency intensity play stronger shed contribution past considered maintenance effort effect specifically
#217 0.056 search information display engine results engines displays retrieval effectiveness relevant process ranking depth searching economics create functions incorporate low terms
#226 0.051 models linear heterogeneity path nonlinear forecasting unobserved alternative modeling methods different dependence paths efficient distribution probabilities demonstrate observed heterogeneous probability