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A modified directional distance formulation of DEA to assess bankruptcy: An application to IT/ITES companies in India

机译:DEA的改进的定向距离公式以评估破产:在印度的IT / ITES公司中的应用

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One of the most significant threats of a national economy is the bankruptcy of its firms. Assessment of bankruptcy provides valuable information on which governments, investors and shareholders can base their financial decisions in order to prevent possible losses. Data envelopment analysis (DEA) has generally been used to assess the best relative efficiency of decision making units (DMUs). In this paper we modify directional distance formulation of DEA to assess bankruptcy. The method we develop is the most general non-oriented, non-radial directional distance model. This model measures worst relative efficiency within the range of zero to one. This is contrary to the best relative efficiencies of conventional DEA method. Our model locates worst performing DMUs and determines an inefficient frontier. This model simultaneously contracts output and expands input. This idea of bankruptcy assessment is in agreement with economic theory of bankruptcy. The study introduces a precise and comprehensive bankruptcy measure that could be used as an early warning system for bankruptcy assessment. Further, we apply our model to Information Technology (IT) and IT enabled services (ITES) companies in India as a case study. We find that Hewlett-Packard Globalsoft Ltd. has the least possibility of bankruptcy and Logix Microsystems has the greatest possibility of bankruptcy.
机译:国民经济的最大威胁之一是其公司的破产。破产评估提供了宝贵的信息,政府,投资者和股东可以根据这些信息做出财务决策,以防止可能的损失。数据包络分析(DEA)通常用于评估决策单位(DMU)的最佳相对效率。在本文中,我们修改了DEA的方向距离公式来评估破产。我们开发的方法是最通用的非定向,非径向方向距离模型。该模型测得的最差相对效率在零到一的范围内。这与常规DEA方法的最佳相对效率相反。我们的模型定位性能最差的DMU,并确定效率低下的边界。该模型同时收缩输出并扩展输入。这种破产评估的思想与破产的经济学理论是一致的。该研究引入了一种精确而全面的破产措施,可以将其用作破产评估的预警系统。此外,作为案例研究,我们将模型应用于印度的信息技术(IT)和IT支持服务(ITES)公司。我们发现,惠普Globalsoft Ltd.破产的可能性最小,而Logix Microsystems破产的可能性最大。

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