Conditions That Shape the Learning Curve: Factors That Increase the Ability and Opportunity to Learn

Prior studies examining factors that influence the learning curve mainly focus on settings in which firms adopt new products or technologies or open new plants or assembly lines. Less is known, however, about how more mature firms learn, when they are further down the learning curve. To gain insight into factors that enhance learning in this situation, I examine factors that increase both the ability and the opportunity to learn. I hypothesize that the ability to learn is enhanced by the presence of a moderate amount of temporary employees in the workforce and by providing employees with related variation in tasks, measured by product heterogeneity. In addition, I hypothesize that opportunities for learning are created when there is some slack in resources and when there are no problems in other important performance dimensions that consume employee attention. These hypotheses are examined using data of the Royal Dutch Mail, which has 27 geographically dispersed regions. Although these 27 regions are homogeneous with respect to their tasks, internal organization, type of products delivered, and technology used, their learning rates differ considerably. In the sample of 972 observations used for this analysis, I find that this variation in learning rates is explained by the percentage of temporary employees used, the level of excess capacity, the degree of product heterogeneity, and the degree to which regions face problems in other important performance dimensions. These findings provide insight into strategies that help managers in designing work processes to maintain a positive learning curve.cost analysis, production scheduling, learning, organizational studies, effectiveness performance

Agent-oriented context-aware platforms supporting communities of practice in health care

This paper presents and discusses the use of an agent-oriented context-aware platform to support communities of practice (CoPs) in the health care domain. Our work is based on a scenario where CoPs are applied in a hospital to enhance the knowledge sharing among the staff members who share interests and goals. Here, we test the support of an agent-oriented modeling language (AORML) for the analysis of the proposed application for the test case scenario

Unobserved firm heterogeneity and the size-exports nexus: Evidence from German panel data

Exports, firm size, establishment panel data, fractional logit regression,

Knowledge-based Diagnosis - Survey and Future Directions

Diagnostic expert systems have long been considered an area where eventually a killer application might emerge . Much time has passed since the first prototypes were demonstrated, but we have not yet seen it in the marketplace -- despite many less spectacular success stories. Is the original idea doomed or will the technology finally live up to the expectations? In this paper we survey the state of the art with an emphasis on highlighting specific values of individual methods as well as considering the context of their use. The ultimate goal is to identify conditions and matching methods that will lead to the kind of success that pragmatist customers will find convincing - and then and only then, a real market presence will result