A population of learners: A new way to measure organizational learning
提出一种通过拟合个体学习曲线来系统描述一线工人技能学习模式的方法，并用美国大型制造企业3874个学习事件的数据验证了其描述能力。
Abstract In this paper we describe an approach that enables managers to systematically describe patterns of skill learning in large populations of front‐line workers. The method fits individualized learning curves to the work performance histories of every member of a population. The resulting set of ‘best‐fit’ parameter estimates represents a parsimonious summary of the many learning behaviors that are taking place. A case study demonstrated the descriptive power of the model using electronically collected data on 3874 episodes of individual learning in a large US manufacturing firm.