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Reexamining the impact of information technology investment on productivity using regression tree and multivariate adaptive regression splines (MARS)

机译：使用回归树和多元自适应回归样条（MARS）重新检查信息技术投资对生产率的影响

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摘要

As health care costs increased significantly in the 1990s, investments in information technology (IT) in the health care industry have also increased continuously in order to improve the quality of patient care and to respond to government pressure to reduce costs. Several studies have investigated the impact of IT on productivity with mixed conclusions. In this paper, we revisit this issue and re-examine the impact of investments in IT on hospital productivity using two data mining techniques, which allowed us to explore interactions between the input variables as well as conditional impacts. The results of our study indicated that the relationship between IT investment and productivity is very complex. We found that the impact of IT investment is not uniform and the rate of IT impact varies contingent on the amounts invested in the IT Stock, Non-IT Labor, Non-IT Capital, and possibly time.
机译：1990年代，随着医疗保健成本的显着增加，医疗行业对信息技术（IT）的投资也不断增加，以提高患者护理质量并应对政府降低成本的压力。有几项研究调查了IT对生产率的影响，得出的结论不一。在本文中，我们将重新审视此问题，并使用两种数据挖掘技术重新检查IT投资对医院生产力的影响，这使我们能够探索输入变量之间的相互作用以及条件性影响。我们的研究结果表明，IT投资与生产力之间的关系非常复杂。我们发现，IT投资的影响并不一致，IT影响的速率取决于IT库存，非IT劳动力，非IT资本以及可能的时间等方面的投资额。

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