Technology investment Impact on Regional Productivity: Empirical Evidence of S-Curve Characteristics
2019
- 208Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage208
- Downloads166
- Abstract Views42
Article Description
Regression analysis is used to investigate the impact of tech investment on U.S. regional productivity from 1990 to 2016. Using four S-Curve characteristics, we explain tech investment’s negative impact on regional productivity in the early investment stage. This is followed by rapidly increasing tech investment and significant regional productivity impact further along the S-Curve. As regional productivity approaches the top of the curve, tech investment results in diminishing returns. This signals the need to jump the S-Curve in search of new technological innovation to resuscitate tech investment and productivity gains. The S-Curve analysis indicates tech investment’s impact is contextual and depends on the position on the SCurve. This understanding of tech investment’s impact on regional productivity at various points on the curve has implications for regional and global development.
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