The Rapid Adoption of Data-Driven Decision-Making
By Erik Brynjolfsson, Kristina McElheran. 2016
613 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/b8e3b88bae294749824bcbd48536a300b3467f22
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Management Science and Operations Research
- Nathan Kallus
- Dimitris J. Bertsimas
- Manav Raj
- Edward W. Felten
- Robert C. Seamans
- Susan Athey
- Stefan Wager
- Masatoshi Uehara
In Strategy and Management
Citations in the corpus
- Engineering Value: The Returns to Technological Talent and Investments in Artificial Intelligence (2019, neutral): “Intangible assets are complementary to and correlated with investment in technological human capital (Bresnahan, Brynjolfsson, and Hitt 2002; Brynjolfsson, Hitt, and Yang 2002; Saunders and Tambe 2015; Saunders and Brynjolfsson 2016).”
- Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses (2021, background): “Strategy and management scholars have often sought to identify the different firm characteristics that predict novel technology adoption or diffusion (e.g., Brynjolfsson & McElheran, 2016; Greve, 2009; Majumdar & Venkataraman, 1998; Souder, Zaheer, Sapienza, & Ranucci, 2017).”
- The Power and Limits of Predictive Approaches to Observational-Data-Driven Optimization (2016, background): “Data-driven decision-making is transforming modern operations and is being rapidly adopted in practice (McAfee and Brynjolfsson 2012, Brynjolfsson and McElheran 2016).”