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Managing outsourcing decisions -- government policy, firm options, and the economic impact.

机译:管理外包决策-政府政策,公司选择权和经济影响。

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摘要

In this research, we provide a comprehensive examination regarding outsourcing policies and decisions by conducting a systematic analysis from macro to micro level. At the macro level, we utilize a BOCR-based (Benefit, Opportunity, Cost, Risk) Analytical Network Process (ANP) model to find the best government policy regarding outsourcing. At the micro level, we carry out a case study to demonstrate how firm level outsourcing decisions can be made. For such, we employ a comprehensive model that consists of the "the BSC-based (Balanced Scorecard) ANP model" to assess the case firm's strategic alternatives and to identify the best option for the studied firm. After recommending the best outsourcing strategy, i.e. selective outsourcing, to the case firm, we then proposed an AHP ratings model for the firm to prioritize the various activities and identify the activities to outsource.Understanding the economic impact of outsourcing can help firms facing outsourcing options to make a better decision. To provide firms with this guidance and the decision-support tool, in chapter 5 of this dissertation we empirically examine the relationship between outsourcing contract size, as reported in news and trade journals, and the firms' financial performance.Using the data from Compustat for those firms that conducted outsourcing, we are able to predict firms' post-outsourcing financial performance, as measured by Tobin's q and the changes in Tobin's q. Besides predicting financial performance, our empirical models also reveal a number of important managerial implications. In the modeling process, we make use of both traditional Least Squares Regression and advanced Machine Learning techniques, such as Regression Tree and Neural Networks.In the research front, our empirical study offers three significant findings: (1) there is a non-linear relationship between outsourcing contract value and the change in Tobin's q (2) firm's other accounting variables do interact with the outsourcing contract size in affecting the firm's Tobin's q and (3) outsourcing affects firms differently.In summary, the body of this dissertation consists of the three key areas: macro- and micro-level outsourcing decision making, and financial performance evaluation and prediction.
机译:在这项研究中,我们通过从宏观到微观的系统分析,对外包政策和决策进行了全面检查。在宏观层面,我们利用基于BOCR的(收益,机会,成本,风险)分析网络流程(ANP)模型来找到有关外包的最佳政府政策。在微观层面,我们进行了一个案例研究,以展示如何制定公司层面的外包决策。为此,我们采用了一个综合模型,该模型由“基于BSC的(平衡计分卡)ANP模型”组成,以评估案例公司的战略选择并确定所研究公司的最佳选择。在向案例公司推荐最佳外包策略(即选择性外包)之后,我们为该公司提出了AHP评级模型,以优先考虑各种活动并确定要外包的活动。了解外包的经济影响可以帮助面临外包选择的公司做出更好的决定。为了向企业提供此指导和决策支持工具,在本论文的第5章中,我们以经验方式研究了新闻和贸易杂志上报道的外包合同规模与企业财务绩效之间的关系。那些进行外包的公司,我们能够预测公司的外包后财务绩效,以托宾q和托宾q的变化来衡量。除了预测财务绩效外,我们的经验模型还揭示了许多重要的管理含义。在建模过程中,我们同时使用了传统的最小二乘回归和先进的机器学习技术,例如回归树和神经网络。在研究前沿,我们的实证研究提供了三个重要发现:(1)存在非线性外包合同价值与托宾q的变化之间的关系(2)公司的其他会计变量确实与外包合同规模相互作用,从而影响了公司的托宾q,并且(3)外包对公司的影响不同。综上所述,本文的主体包括:三个关键领域:宏观和微观层面的外包决策,以及财务绩效评估和预测。

著录项

  • 作者

    Tjader, Youxu C.;

  • 作者单位

    University of Pittsburgh.;

  • 授予单位 University of Pittsburgh.;
  • 学科 Business Administration Management.Operations Research.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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