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Organizational learning, intrafirm externalities and industry evolution

机译:组织学习,企业内部外部性和行业发展

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In this dissertation I study the impact of organizational learning on firm costs and market structure. I first match a detailed model of organizational learning to data on observed learning curves. I then explore the implications of the model for industry evolution. In industries where the production process is complex I find that surviving firms earn above normal profits that persist in the face of competition.;In chapter 1, I review the literature on firm learning. I place the idea of the learning organization in the context of leading theories of the firm, review some pertinent empirical findings, and summarize the implications of these findings for the modeling of firm learning. In the process I motivate the concepts of production recipes and intrafirm externalities that are the primary conceptual innovations in this dissertation.;Chapter 2 is co-authored with Stuart Kauffman, Jose Lobo and Karl Shell. We do two things in the paper. First, we put forward some elements of a microeconomic theory of technological evolution. This involves expanding the notion of the production plan to include the recipe---the complete description of the underlying engineering process. Second, we use the recipes approach in constructing a simple microeconomic model of shop-floor learning by doing. We simulate the dynamics of the model and report the effects of changes in the basic parameters on the resulting engineering experience curves. For correctly chosen values of these parameters, the predictions of the model match the observed data on experience curves.;Where in chapter 2 my co-authors and I study a single firm in isolation, in chapter 3 I turn to industry dynamics. I ask: What firm-specific factors cause above normal profits to persist in some industries and not others? I provide an answer to this question based on the complexity of the production process in different industries. I find that rents dissipate quickly in industries where production is relatively simple, while persistent quasi-rents accrue to surviving firms in industries where production is relatively complex. The dynamics of the model match observed features of industry life cycles.
机译:在本文中,我研究了组织学习对公司成本和市场结构的影响。我首先将组织学习的详细模型与观察到的学习曲线上的数据进行匹配。然后,我探索该模型对行业发展的意义。在生产过程复杂的行业中,我发现在竞争中幸存下来的公司获得的利润要高于正常利润;在第一章中,我回顾了有关公司学习的文献。我将学习型组织的思想置于公司的领先理论的背景下,回顾了一些相关的经验发现,并总结了这些发现对公司学习建模的意义。在这个过程中,我激发了生产配方和企业内部外部性的概念,这是本文的主要概念创新。第二章由Stuart Kauffman,Jose Lobo和Karl Shell共同撰写。我们在本文中做了两件事。首先,我们提出了技术演化的微观经济学理论的一些要素。这涉及将生产计划的概念扩展到包括配方-对基础工程过程的完整描述。其次,我们使用配方方法来构建车间实践学习的简单微观经济学模型。我们模拟模型的动力学,并报告基本参数的变化对所得工程经验曲线的影响。为了正确选择这些参数的值,模型的预测与经验曲线上的观察数据相匹配。在第二章中,我和我的合著者分别研究了一家公司,而在第三章中,我探讨了行业动态。我问:某些公司特有的因素导致某些行业而不是其他行业持续高于正常水平的利润?我根据不同行业中生产过程的复杂性为这个问题提供答案。我发现,在生产相对简单的行业中,租金迅速消散,而在生产相对复杂的行业中,幸存的公司会产生持久的准租金。该模型的动态匹配行业生命周期的观察特征。

著录项

  • 作者

    Auerswald, Philip Edgar.;

  • 作者单位

    University of Washington.;

  • 授予单位 University of Washington.;
  • 学科 Economic theory.;Commerce-Business.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 171 p.
  • 总页数 171
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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