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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Language: | en_US |
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American Economic Association
2017
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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. |
first_indexed | 2024-09-23T16:03:22Z |
format | Article |
id | mit-1721.1/108650 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T16:03:22Z |
publishDate | 2017 |
publisher | American Economic Association |
record_format | dspace |
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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