About: Learning curve is a research topic. Over the lifetime, 1461 publications have been published within this topic receiving 41791 citations. The topic is also known as: opportunity to learn.
TL;DR: A model of practice rooted in modern cognitive psychology, the chunking theory of learning, is formulated in an investigation of the mechanisms underlying the performance improvement in psychology.
Abstract: : Practice, and the performance improvement that it engenders, has long been a major topic in psychology. In this paper, both experimental and theoretical approaches are employed in an investigation of the mechanisms underlying this improvement. On the experimental side, it is argued that a single law, the power law of practice, adequately describes all of the practice data. On the theoretical side, a model of practice rooted in modern cognitive psychology, the chunking theory of learning, is formulated. The paper consists of (1) the presentation of a set of empirical practice curves; (2) mathematical investigations into the nature of power law functions; (3) evaluations of the ability of three different classes of functions to adequately model the empirical curves; (4) a discussion of the existing models of practice; and (5) a presentation of the chunking theory of learning. (Author)
TL;DR: The use of the learning curve has been receiving increasing attention in recent years as discussed by the authors, and much of this increase has been due to learning curve applications other than in the traditional learning curve areas.
Abstract: The use of the learning curve has been receiving increasing attention in recent years. Much of this increase has been due to learning curve applications other than in the traditional learning curve areas. A comprehensive survey of developments in the learning curve area has never been published. The closest thing to a survey was by Asher in 1956. His study focused exclusively on military applications during and immediately after World War II. This paper summarizes the learning curve literature from World War II to the present, emphasizing developments since the study by Asher. Particular emphasis is given to identifying the new directions into which the learning curve has made recent inroads and identifying fruitful areas for future research.
TL;DR: In this article, the authors found that organizations vary considerably in the rates at which they learn and that the reasons for the variation observed in organizational learning curves include organizational forgetting, employee turnover, transfer of knowledge from other products and other organizations, and economies of scale.
Abstract: Large increases in productivity are typically realized as organizations gain experience in production. These "learning curves" have been found in many organizations. Organizations vary considerably in the rates at which they learn. Some organizations show remarkable productivity gains, whereas others show little or no learning. Reasons for the variation observed in organizational learning curves include organizational "forgetting," employee turnover, transfer of knowledge from other products and other organizations, and economies of scale.
TL;DR: This article examined the persistence of learning within organizations and the transfer of learning across organizations on data collected from multiple organizations and found that knowledge acquired through production depreciates rapidly and the conventional measure of learning, cumulative output, significantly overstates the persistent learning.
Abstract: The persistence of learning within organizations and the transfer of learning across organizations are examined on data collected from multiple organizations. Results indicate that knowledge acquired through production depreciates rapidly. The conventional measure of learning, cumulative output, significantly overstates the persistence of learning. There is some evidence that learning transfers across organizations: organizations beginning production later are more productive than those with early start dates. Once organizations begin production, however, they do not appear to benefit from learning in other organizations. The implications of the results for a theory of organizational learning are discussed. Managerial implications are described.
TL;DR: This paper developed a model of competitive interaction and industry evolution in the presence of a learning curve, where the learning curve is a function relating the unit costs of the individual firm to accumulated volume, and the responses of the model to shifts in parameters are explored through calculated examples.
Abstract: This article develops a model of competitive interaction and industry evolution in the presence of a learning curve. The learning curve is a function relating the unit costs of the individual firm to accumulated volume. The responses of the model to shifts in parameters are explored through calculated examples. The paper also used a two-period model to explore differences between open and closed-loop equilibria, and to assess the impact of learning spillover effects from one firm to the next.