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Competition in strategic global industries.

机译:全球战略产业竞争。

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摘要

This thesis adapts and evaluates longitudinal methods new to the study of competition in global industries and presents a framework combining the paradigms of corporate strategy and international economics to facilitate strategic analysis in a global context. Two methods of longitudinal analysis--ordinal time series analysis and shift share analysis--are compared using a Monte Carlo simulation. Their relative abilities to detect trends in data with known distributions, trends and errors are assessed. This simulation and analysis demonstrates the inappropriateness of the shift share method and the appropriateness of the ordinal time series method for the detection of long-term trends in the economy.;The value of the ordinal time series method for portraying patterns of behavior in the global economy and in global industries is then illustrated through application of the method to global trade in terms of the total imports, exports, and trade ratios for 176 countries, which then serves as a context for the analysis of petroleum trade data for over 50 countries, which in turn serves as the context for the strategic analysis of 24 international petroleum companies for the period 1966-1985. The purposes of this illustration are: (a) to provide a portrayal of international trade behavior in oil during an extremely turbulent period; (b) to relate this behavior to its effects on major groups of oil exporting and importing countries; and (c) to assess the effects on the oil industry and the changes in strategies of oil firms which accompanied these effects. This illustration demonstrates that important results can be achieved by combining the techniques of corporate strategy and international economics. By extension, the illustration demonstrates that application of the framework and methods of analysis to other strategic global industries is possible.;The results of this investigation represent a major advance in the understanding of the strategic factors involved in developing competitive advantages within strategic global industries.
机译:本文采用并评估了纵向方法,这些方法是研究全球产业竞争的新方法,并提出了一个结合公司战略和国际经济学范式的框架,以促进全球范围内的战略分析。使用蒙特卡洛模拟比较了两种纵向分析方法-常规时间序列分析和班次份额分析-。评估了它们检测具有已知分布,趋势和错误的数据趋势的相对能力。仿真和分析结果表明,转移份额方法的不适当性以及序数时间序列方法对于经济长期趋势的检测是适当的。序数时间序列方法对于刻画全球行为模式的价值然后,通过将该方法应用于全球贸易来说明176个国家/地区的进出口总额和贸易比率,从而说明经济和全球工业,然后作为分析50多个国家/地区石油贸易数据的背景,这反过来又为1966-1985年间24家国际石油公司的战略分析提供了背景。该说明的目的是:(a)在极其动荡的时期内描绘国际石油贸易行为; (b)将此行为与其对主要石油输出国和进口国的影响联系起来; (c)评估对石油工业的影响以及伴随这些影响的石油公司战略的变化。该图表明,通过将公司战略技术与国际经济学相结合,可以取得重要成果。通过扩展,该图例说明了将分析的框架和方法应用于其他战略性全球产业的可能性。该调查的结果表明,在理解与发展战略性全球产业中的竞争优势有关的战略因素方面取得了重大进展。

著录项

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Business Administration Management.;Economics Commerce-Business.
  • 学位 Ph.D.
  • 年度 1990
  • 页码 367 p.
  • 总页数 367
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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