The Rapid Adoption of Data-Driven Decision-Making

We provide a systematic empirical study of the diffusion and adoption patterns of data-driven decision making (DDD) in the U.S. Using data collected by the Census Bureau for a large representative sample of manufacturing plants, we find that DDD rates nearly tripled (11%-30%) between 2005 and 2010....

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Main Authors: Brynjolfsson, Erik, McElheran, Kristina
Other Authors: Sloan School of Management
Format: Article
Language:en_US
Published: American Economic Association 2017
Online Access:http://hdl.handle.net/1721.1/108650
https://orcid.org/0000-0002-8031-6990
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author Brynjolfsson, Erik
McElheran, Kristina
author2 Sloan School of Management
author_facet Sloan School of Management
Brynjolfsson, Erik
McElheran, Kristina
author_sort Brynjolfsson, Erik
collection MIT
description We provide a systematic empirical study of the diffusion and adoption patterns of data-driven decision making (DDD) in the U.S. Using data collected by the Census Bureau for a large representative sample of manufacturing plants, we find that DDD rates nearly tripled (11%-30%) between 2005 and 2010. This rapid diffusion, along with results from a companion paper, are consistent with case-based evidence that DDD tends to be productivity-enhancing. Yet certain plants are significantly more likely to adopt than others. Key correlates of adoption are size, presence of potential complements such as information technology and educated workers, and firm learning.
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spelling mit-1721.1/1086502022-09-29T17:54:48Z The Rapid Adoption of Data-Driven Decision-Making Brynjolfsson, Erik McElheran, Kristina Sloan School of Management Brynjolfsson, Erik We provide a systematic empirical study of the diffusion and adoption patterns of data-driven decision making (DDD) in the U.S. Using data collected by the Census Bureau for a large representative sample of manufacturing plants, we find that DDD rates nearly tripled (11%-30%) between 2005 and 2010. This rapid diffusion, along with results from a companion paper, are consistent with case-based evidence that DDD tends to be productivity-enhancing. Yet certain plants are significantly more likely to adopt than others. Key correlates of adoption are size, presence of potential complements such as information technology and educated workers, and firm learning. 2017-05-03T19:54:50Z 2017-05-03T19:54:50Z 2016-05 Article http://purl.org/eprint/type/JournalArticle 0002-8282 http://hdl.handle.net/1721.1/108650 Brynjolfsson, Erik and McElheran, Kristina. “The Rapid Adoption of Data-Driven Decision-Making.” American Economic Review 106, no. 5 (May 2016): 133–139. © 2016 American Economic Association https://orcid.org/0000-0002-8031-6990 en_US http://dx.doi.org/10.1257/aer.p20161016 American Economic Review Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Economic Association American Economic Association
spellingShingle Brynjolfsson, Erik
McElheran, Kristina
The Rapid Adoption of Data-Driven Decision-Making
title The Rapid Adoption of Data-Driven Decision-Making
title_full The Rapid Adoption of Data-Driven Decision-Making
title_fullStr The Rapid Adoption of Data-Driven Decision-Making
title_full_unstemmed The Rapid Adoption of Data-Driven Decision-Making
title_short The Rapid Adoption of Data-Driven Decision-Making
title_sort rapid adoption of data driven decision making
url http://hdl.handle.net/1721.1/108650
https://orcid.org/0000-0002-8031-6990
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