Sunk Costs and the Depth and Probability of Technology Adoption
提出学习技术的沉没成本和产出规模决定了企业采纳技术的概率和深度，发现工厂规模而非企业规模能预测CAD和CNC的采纳，且采纳深度比采纳决策更受工厂个体特征影响。
I propose that sunk costs of learning and the output over which these costs are spread determine the probability and depth of technology adoption. Depth of adoption describes the extent to which firms exploit the advantages of the technology. I find that plant size but not firm size predicts CAD and CNC adoption. Learning costs are lumpy, are closely connected to technology adoption and determine both the probability and depth of adoption. Depth of adoption is considerably more plant idiosyncratic than the decision to adopt.