The Rapid Adoption of Data-Driven Decision-Making
利用美国人口普查局对制造业工厂的大样本数据，研究发现2005至2010年间数据驱动决策的采纳率从11%增至30%，且采纳与工厂规模、信息技术和员工教育水平相关。
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.