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Empirical Analysis on IT Investments Efficiency and Influence Factors of Equipment Manufacturing Industry Based on DEA-CART Model

机译:基于DEA-CART模型的装备制造业IT投资效率及影响因素的实证分析

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摘要

For explicating the underlying linking mechanism between IT investment and firm performance, this paper develops a framework to examine the influence factors of IT payoff efficiency. From a process-oriented perspective, the study measured the IT investment efficiency using continuous data from 485 Chinese enterprises in 2006-2008. The result shows that only 11.03% of total samples are effective based on data envelopment analysis(DEA). So it suggests that a majority of firms can achieve differential performance over competitors by improving the organization's capacity to absorb IT. And then some main factors that affect technical efficiency were identified using classification and regression trees(CART) method. The results indicate the influence factors including enterprises' scale, strategic IT planning and density of trade's fund. The interaction of information system application and training density positive influences IT investment efficiency. Possibility for future research can keep on in these areas.
机译:为了阐明IT投资与企业绩效之间的潜在联系机制,本文建立了一个框架来检验IT回报效率的影响因素。从面向过程的角度来看,该研究使用2006-2008年间485家中国企业的连续数据来衡量IT投资效率。结果表明,基于数据包络分析(DEA),总样本的有效率为11.03%。因此,这表明大多数公司可以通过提高组织吸收IT的能力来实现与竞争对手不同的绩效。然后使用分类和回归树(CART)方法确定了影响技术效率的一些主要因素。结果表明,影响因素包括企业规模,IT战略规划和贸易资金密度。信息系统应用程序和培训密度的交互作用正好影响IT投资效率。在这些领域中可以继续进行将来的研究。

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