Research on Learning in Industrial Settings: Persistence, Turnover, and Transfer

学习曲线的存在已被记录在 许多行业。 然而，人们对学习的原因知之甚少， 发生，是否持续，以及如何转移。这 一项实证性研究， 组织内的学习和跨组织的学习转移 组织的 周转在学习中的作用及其对学习的影响 还检查了持久性。 分析基于 记录了从一家航空航天公司收集的数据 工业生产先进的喷气式飞机，并从三个工厂， 同一家公司在汽车行业生产一种灯， 卡车 首席研究员将估计产量 包含变量的函数，用于评估 持久性，转移和劳动力流动的影响， 生产过程的效率。 除了测试 学习是否持续，是否转移， 离职率与学习率有关， 旨在建立一个学习的理论模型， 整合和解释经验的组织， 调查结果。 这项研究将增进科学知识 为什么学习会发生在组织中， 持续和转移。 这些信息将使 提高生产力，因此， 更有效地竞争。 这些信息还将导致 改善预测。

The presence of a learning curve has been documented in many industries. Yet little is known about why learning occurs, whether it persists, and how to transfer it. This award empirically investigates the persistence of learning within organizations and the transfer of learning across organizations. The role of turnover in learning and its persistence are also examined. The analyses are based on records data collected from one firm in the aerospace industry producing an advanced jet and from three plants of the same firm in the automotive industry producing a light truck. The principal investigator will estimate production functions with variables included to assess the importance of persistence, transfer and labor turnover in affecting the efficiency of the production process. In addition to testing whether learning persists, whether it transfers, and whether turnover is related to the rate of learning, the research aims to develop a theoretical model of learning in organizations that integrates and explains the empirical findings. The research will advance scientific knowledge about why learning occurs in organizations and whether it persists and transfers. This information will enable organizations to improve their productivity and hence, compete more effectively. The information will also lead to improved forecasting.