1Department of Management, Auburn University, Auburn, AL 36849-5241, USA
Tóm tắt
AbstractIn 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.