Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey

Zolas, Nikolas; Kroff, Zachary; Brynjolfsson, Erik; McElheran, Kristina; Beede, David N.; Buffington, Cathy; Goldschlag, Nathan; Foster, Lucia; Dinlersoz, Emin

doi:10.2139/ssrn.3759827

Cited by 13 publications

(24 citation statements)

References 40 publications

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“…This is in line with the more general finding that the use of digital technologies, per se, increases with company size (see e.g. DeStefano et al, 2017;OECD, 2017;Zolas et al, 2021). It is also consistent with the data on cloud usage by size class reported in the previous section.…”

Section: Cloud Adoptionsupporting

confidence: 90%

Let's Switch to the Cloud: Cloud Adaption and Its Effect on IT Investment and Productivity

Duso

Schiersch

2022

SSRN Journal

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Section: Cloud Adoptionsupporting

confidence: 90%

Let's Switch to the Cloud: Cloud Adaption and Its Effect on IT Investment and Productivity

Duso

Schiersch

2022

SSRN Journal

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“…This definition was corroborated in our study via extensive testing of the survey instrument, led by Census experts on survey development. While of significant importance in current research and business press, the actual use of machine learning and other cognitive technologies increasingly referred to as "artificial intelligence" was still quite low in the U.S. as of 2018, including in the manufacturing sector studied here(Zolas et al 2020).…”

mentioning

confidence: 89%

“…been a leading adopter of frontier technologies, continues to be so (Zolas et al 2020), and is one of the longest-standing contexts for economic research. Thus, our inferences are likely applicable to a large distribution of firms that also have increasingly well-understood economic dynamics (e.g., Decker et al 2020).…”

mentioning

confidence: 99%

The power of prediction: predictive analytics, workplace complements, and business performance

Brynjolfsson

Wang²,

McElheran

2021

Bus Econ

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Anecdotes abound suggesting that the use of predictive analytics boosts firm performance. However, large-scale representative data on this phenomenon have been lacking. Working with the Census Bureau, we surveyed over 30,000 American manufacturing establishments on their use of predictive analytics and detailed workplace characteristics. We find that productivity is significantly higher among plants that use predictive analytics-up to $918,000 higher sales compared to similar competitors. Furthermore, both instrumental variables estimates and timing of gains suggest a causal relationship. However, we find that the productivity pay-off only occurs when predictive analytics are combined with at least one of three workplace complements: significant accumulation of IT capital, educated workers, or workplaces designed for high flowefficiency production. Our findings support claims that predictive analytics can substantially boost performance, while also explaining why some firms see no benefits at all.

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“…3 It is important to note that research about the important US case has been held back by the lack of administrative and firm-level data. The US Census Bureau has recently started including questions about robotics, AI, cloud hosting, and other technologies in firms surveys (see , Zolas et al 2020. A second remark is that robotic studies should be read as case studies of the automobile industry, where more than 70% of the robots tracked by the International Federation of Robotics are deployed (see also Krzywdzinski 2020).…”

Section: Directly Measuring Technology Adoption: Information and Comm...mentioning

confidence: 99%

Automation, Digitalization, and Artificial Intelligence in the Workplace: Implications for Political Behavior

Gallego

Kurer

2022

Annu. Rev. Polit. Sci.

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New technologies have been a key driver of labor market change in recent decades. There are renewed concerns that technological developments in areas such as robotics and artificial intelligence will destroy jobs and create political upheaval. This article reviews the vibrant debate about the economic consequences of recent technological change and then discusses research about how digitalization may affect political participation, vote choice, and policy preferences. It is increasingly well established that routine workers have been the main losers of recent technological change and disproportionately support populist parties. However, at the same time, digitalization also creates a large group of economic winners who support the political status quo. The mechanisms connecting technology-related workplace risks to political behavior and policy demands are less well understood. Voters may fail to fully comprehend the relative importance of different causes of structural economic change and misattribute blame to other factors. We conclude with a list of pressing research questions.

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Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey

Cited by 13 publications

References 40 publications

Let's Switch to the Cloud: Cloud Adaption and Its Effect on IT Investment and Productivity

Let's Switch to the Cloud: Cloud Adaption and Its Effect on IT Investment and Productivity

The power of prediction: predictive analytics, workplace complements, and business performance

Automation, Digitalization, and Artificial Intelligence in the Workplace: Implications for Political Behavior

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