Revisiting the Impact of Information Technology Investments on Productivity: An Empirical Investigation Using Multivariate Adaptive Regression Splines (MARS)

Myung Ko; Jan Guynes Clark; Daijin Ko

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Revisiting the Impact of Information Technology Investments on Productivity: An Empirical Investigation Using Multivariate Adaptive Regression Splines (MARS)

机译：重新审视信息技术投资对生产力的影响：使用多元自适应回归样条（MARS）进行的实证研究

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This article revisits the relationship between IT and productivity, and investigates the impact on information technology (IT) investments. Using the MARS techniques, we show that although IT Stock is the greatest predictor variable for productivity (Valu

机译：本文回顾了IT与生产力之间的关系，并研究了其对信息技术（IT）投资的影响。使用MARS技术，我们表明，尽管IT库存是生产率的最大预测变量（Valu

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来源
《Information Resources Management Journal》 |2008年第3期|p.1-23|共23页
作者
Myung Ko; Jan Guynes Clark; Daijin Ko;
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作者单位

The University of Texas at San Antonio, USA;

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原文格式 PDF
正文语种 eng
中图分类图书馆学、图书馆事业;
关键词
IT impacts; productivity; multivariate adaptive regression splines (MARS); data mining;

机译：IT影响;生产率;多元自适应回归样条（MARS）;数据挖掘;

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3. The productivity impact of information technology in the healthcare industry: an empirical study using a regression spline-based approach [J] . Myung Ko, Kweku-Muata Osei-Bryson Information and software technology . 2004,第1期

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7. The productivity impact of information technology in the healthcare industry: an empirical study using a regression spline-based approach [O] . Myung Koa, Kweku-muata Osei-brysonb 2003

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8. G/SPLINES: A Hybrid of Friedman's Multivariate Adaptive Regression Splines (MARS)Algorithm with Holland's Genetic Algorithm [R] . Rogers, D. 1991

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Revisiting the Impact of Information Technology Investments on Productivity: An Empirical Investigation Using Multivariate Adaptive Regression Splines (MARS)

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