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Productivity paradox. The productivity paradox refers to the slowdown in productivity growth in the United States in the 1970s and 1980s despite rapid development in the field of information technology (IT) over the same period. The term was coined by Erik Brynjolfsson in a 1993 paper ("The Productivity Paradox of IT") [1] inspired by a quip by ...
Jun 18, 2018 · The productivity paradox. Why brilliant AI technologies are not leading to widespread growth and prosperity. To become wealthier, a country needs strong growth in productivity—the output of ...
- David Rotman
Aug 21, 2024 · The productivity paradox related to information technology posits that despite the significant investments in IT, the resulting gains in productivity are not as substantial as expected. It defines a scenario in which, as more people pursue technology, its benefits become more elusive, potentially leading to decreased productivity.
If U.S. productivity had grown at the same rate from 2005–2019 as it did from 1995–2004, U.S. GDP would have been approximately $4.2 trillion higher at the end of 2019 than it was measured to be.2 This modern productivity paradox is a redux of the information technology (IT) productivity paradox of the late 1980s (Brynjolfsson, 1993).
Mar 22, 2024 · The productivity paradox has significant implications for business strategy, economic policy, and the broader understanding of how technological advancements impact the economy. It challenges the assumption that IT investment is a guaranteed pathway to improved productivity and economic growth.
Nov 10, 2020 · This modern productivity paradox is a redux of the information technology (IT) productivity paradox of the late 1980s (Brynjolfsson, 1993). That earlier divergence between the promise and practice of technology was epitomized by Nobel laureate Robert Solow’s pithy remark, “You can see the computer age everywhere but in the productivity statistics.”
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Mar 1, 2017 · This paradox is called the productivity paradox, more precisely and formally defined by Turban et al. (2002, 592) as ”The discrepancy between measures of investment in information technology and measures of output at the national level.” Methods and models used to analyse the quantitative data are mostly based on the neoclassical production theory that clearly predicts the sign and ...
