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An analytical performance management framework enabling enterprise strategy management.

机译：分析绩效管理框架，可实现企业战略管理。

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摘要

Performance management has gained noticeable interest from both researchers and executive in the past two decades. Financial measures are no longer a primary emphasis for researchers and executives. One of the most popular performance management methodologies is the Balanced Scorecard. The Balanced Scorecard framework facilitates translating strategy into objectives and initiatives across four perspectives. These perspectives are financial, customer, internal processes, and learning and growth. The second component of the balanced scorecard is strategy maps. Strategy maps outline the cause and effect between the four perspectives, and illustrate the value creation process through transforming leading indicators (operational measures) into lagging indicators (financial measures).; This research extends the balanced scorecard framework by introducing Stochastic Timed Strategy Maps (STSM). STSM quantifies the strategic value creation process by quantifying the cause and effect relationship on strategy maps. We introduce three dimensions for the cause effect relationships. These dimensions are quantity, time phase, and uncertainty. The three dimensions quantify the cause effect relationship between the BSC objectives. Monte Carlo simulation is utilized to simulate the quantified scorecard and establish a future view of the financial performance of the enterprise. STSM along with balanced scorecard simulation allow translating various operational measures into expected time-phased financial performance.; A simulated case study using data generated as part of the research is analyzed. The case study is used to demonstrate the theoretical feasibility of the framework. In addition, the case study is used to communicate and illustrate the application of the proposed framework in comparison with other methodologies as used in the literature and industry. Simulation results demonstrated that the proposed framework provides a better evaluation mechanism than traditional tradeoff-based approaches. Simulation results also showed the importance of focusing on process improvements as it allows improving both the expected output performance and the variability of the expected values. The research suggests that adopting the proposed analytical framework will provide additional insight and value into strategic planning and execution processes.
机译：在过去的二十年中，绩效管理引起了研究人员和执行人员的极大兴趣。财务措施不再是研究人员和管理人员的主要重点。最受欢迎的绩效管理方法之一是平衡计分卡。平衡计分卡框架有助于从四个角度将战略转化为目标和计划。这些观点是财务，客户，内部流程以及学习和成长。平衡计分卡的第二个组成部分是策略图。战略图概述了四个视角之间的因果关系，并通过将领先指标（运营指标）转换为落后指标（财务指标）来说明价值创造过程。本研究通过引入随机定时策略图（STSM）扩展了平衡计分卡框架。 STSM通过量化战略图上的因果关系来量化战略价值创造过程。我们介绍因果关系的三个维度。这些维度是数量，时间阶段和不确定性。这三个维度量化了平衡计分卡目标之间的因果关系。蒙特卡洛模拟用于模拟量化的计分卡并建立企业财务绩效的未来视图。 STSM以及平衡的计分卡模拟功能可将各种运营指标转化为预期的分阶段财务绩效。分析了使用案例研究中生成的数据进行的模拟案例研究。案例研究用于证明该框架的理论可行性。此外，与文献和行业中使用的其他方法相比，案例研究还用于交流和说明所提出框架的应用。仿真结果表明，与传统的权衡方法相比，该框架提供了更好的评估机制。仿真结果还表明了关注过程改进的重要性，因为它可以改善预期的输出性能和预期值的可变性。研究表明，采用建议的分析框架将为战略规划和执行过程提供更多的见识和价值。

著录项

  • 作者

    Abu-Suleiman, Amr.;

  • 作者单位

    The University of Texas at Arlington.;

  • 授予单位 The University of Texas at Arlington.;
  • 学科 Engineering Industrial.; Operations Research.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 152 p.
  • 总页数 152
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 一般工业技术;运筹学;
  • 关键词

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