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Reexamining the Impact of Information Technology Investments on Productivity Using Regression Tree- and MARS-Based Analyses

  • Myung KoEmail author
  • Kweku-Muata Osei-Bryson
Chapter
Part of the Integrated Series in Information Systems book series (ISIS, volume 34)

Abstract

Several studies have investigated the impact of investments in IT on productivity. In this chapter, we revisit this issue and reexamine 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.

Keywords

Regression Tree Data Mining Technique Multivariate Adaptive Regression Spline Data Mining Approach Multivariate Adaptive Regression Spline Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

Material in the chapter previously has appeared in “Reexamining the Impact of Information Technology Investment on Productivity Using Regression Tree and Multivariate Adaptive Regression Splines,” in the Information Technology & Management (9:4, 285–299 (2008)).

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Information Systems and Cyber Security One UTSA CircleThe University of Texas at San AntonioSan AntonioUSA
  2. 2.Department of Information SystemsVirginia Commonwealth UniversityRichmondUSA

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