The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Productivity of Information Technology Investments: New Evidence from IT Labor Data
Open accessAbstract
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.
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Cites
The productivity paradox of information technology
Brynjolfsson, E. (1993) · Communications of the ACM · doi:10.1145/163298.163309 · Cited by 2,604
Does the “New Economy” Measure up to the Great Inventions of the Past?
Gordon, R. J. (2000) · Journal of Economic Perspectives · doi:10.1257/jep.14.4.49 · Cited by 1,206
Investment in Enterprise Resource Planning: Business Impact and Productivity Measures
Hitt, L. M., Wu, D. J., & Zhou, X. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045716 · Cited by 877 · cited 1×
“…10, ∗∗ p < 0 (cid:48) 05, ∗∗∗ p < 0 (cid:48) 01. this finding, including that enterprise systems (e.g., SAP) are disproportionately employed in larger firms and have significant effects on productivity (Hitt et al. 2002) or simpler arguments such as economies of scale in IT purchasing or deployment.”
BackgroundSelf-citationTechnical Progress and Co-Invention in Computing and in the Uses of Computers
Bresnahan, T., Greenstein, S., Brownstone, D., & Flamm, K. (1996) · Brookings Papers on Economic Activity. Microeconomics · doi:10.2307/2534746 · Cited by 254
Cited by
Lou, B., & Wu, L. (2021) · MIS Quarterly · doi:10.25300/misq/2021/16565 · Cited by 177
Huang, P., Tafti, A., & Mithas, S. (2018) · MIS Quarterly · doi:10.25300/misq/2018/13490 · Cited by 133
At your service on the table: Impact of tabletop technology on restaurant performance
Tan, T. F., & Netessine, S. (2020) · Management Science · doi:10.1287/mnsc.2019.3430 · Cited by 111
Digital Transformation, Board Diversity, and Corporate Sustainable Development
Zhang, C., Tian, X., Sun, X., Xu, J., & Gao, Y. (2024) · Sustainability · doi:10.3390/su16177788 · Cited by 21
Helping Small Businesses become more Data-Driven: A Field Experiment on eBay
Bar-Gill, S., Brynjolfsson, E., & Hak, N. (2023) · doi:10.2139/ssrn.4407497
Metadata
- Authors
- Tambe, P., & Hitt, L. M.
- Venue
- Information Systems Research
- Published
- 2012-09
- Volume
- 23
- Issue
- 3-part-1
- Pages
- 599-617
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2115477646
- Cited by
- 294
- References
- 4
- FWCI
- 35.83
- Type
- journal article
- Language
- en
- Open access
- green
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