Author List: Chang, Young Bong; Gurbaxani, Vijay;
Information Systems Research, 2012, Volume 23, Issue 3, Page 868-886.
This paper examines the effects of IT-related spillovers on firm-level productivity improvements over a longterm horizon. In contrast, prior research has largely focused on the direct and contemporaneous impacts of IT investments. As a result, we do not fully understand how IT investments are associated with ongoing productivity improvements in future periods and how spillovers influence these gains. In this paper, we examine whether firms receive incremental benefits from IT-related spillovers and whether these spillovers lead to more persistent returns. We focus on the spillovers that accrue to firms from their interindustry transactions, especially the IT services industry. We model and estimate the impact of spillovers on long-run productivity using firmlevel data from the manufacturing, transportation, trade, and services sectors. We find that spillover impacts are highly significant, but that the magnitude and persistence of the impacts vary. Firms with high IT intensity receive greater spillover benefits from the IT services industry. Moreover, these benefits are sustained over a long-term horizon. However, the impact of IT-related spillovers does not persist in low IT intensity firms regardless of the source. Overall, our results shed light on the existence and sources of IT-related spillovers and on their important role in shaping the long-run returns to IT investment. Our results also help explain the findings of excess returns to IT investment in the IT productivity literature.
Keywords: business value of IT; economics of IS; long-run productivity; spillovers
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#148 0.542 productivity information technology data production investment output investments impact returns using labor value research results evidence spillovers industries analysis gains
#168 0.130 firms firm financial services firm's size examine new based result level including results industry important account does suggests characterize limited
#220 0.094 research study different context findings types prior results focused studies empirical examine work previous little knowledge sources implications specifically provide
#173 0.064 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship
#161 0.059 role relationship positively light important understanding related moderating frequency intensity play stronger shed contribution past considered maintenance effort effect specifically
#74 0.050 high low level levels increase associated related characterized terms study focus weak hand choose general lower best predicted conditions implications