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Open AccessJournal ArticleDOI

Information Technology and Intangible Output: The Impact of IT Investment on Innovation Productivity

TLDR
This study comprehensively examines the contribution of IT to innovation production across multiple contexts using a quality-based measure of innovation output to demonstrate the importance of IT in creating value at an intermediate stage of production, in this case, through improved innovation productivity.
Abstract
Prior research concerning IT business value has established a link between firm-level IT investment and tangible returns such as output productivity. Research also suggests that IT is vital to intermediate processes such as those that produce intangible output. Among these, the use of IT in innovation and knowledge creation processes is perhaps the most critical to a firm's long-term success. However, little is known about the relationship between IT, knowledge creation, and innovation output. In this study, we contribute to the literature by comprehensively examining the contribution of IT to innovation production across multiple contexts using a quality-based measure of innovation output. Analyzing annual information from 1987 to 1997 for a panel of large U.S. manufacturing firms, we find that a 10% increase in IT input is associated with a 1.7% increase in innovation output for a given level of innovation-related spending. This relationship between IT, research and development (R&D), and innovation production is robust across multiple econometric methodologies and is found to be particularly strong in the mid to late 1990s, a period of rapid technological innovation. Our results also demonstrate the importance of IT in creating value at an intermediate stage of production, in this case, through improved innovation productivity. However, R&D and its related intangible factors (skill, knowledge, etc.) appear to play a more crucial role in the creation of breakthrough innovations.

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Journal ArticleDOI

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References
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Book

Econometric Analysis of Cross Section and Panel Data

TL;DR: This is the essential companion to Jeffrey Wooldridge's widely-used graduate text Econometric Analysis of Cross Section and Panel Data (MIT Press, 2001).
Book ChapterDOI

The Economic Implications of Learning by Doing

TL;DR: It is by now incontrovertible that increases in per capita income cannot be explained simply by increases in the capital-labor ratio as mentioned in this paper, and that knowledge is growing in time.
Journal Article

Cramming More Components onto Integrated Circuits

Gordon E. Moore
- 01 Jan 1965 - 
TL;DR: Integrated circuits will lead to such wonders as home computers or at least terminals connected to a central computer, automatic controls for automobiles, and personal portable communications equipment as discussed by the authors. But the biggest potential lies in the production of large systems.
ReportDOI

Patent Statistics as Economic Indicators: A Survey

TL;DR: In this paper, the authors present a survey on the use of patent data in economic analysis, focusing on the patent data as an indicator of technological change and concluding that patent data remain a unique resource for the study of technical change.
Book

Estimation and inference in econometrics

TL;DR: In this paper, the authors propose a nonlinear regression model based on the Gauss-Newton Regression for least squares, and apply it to time-series data and show that the model can be used for regression models for time series data.
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