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Using regression splines to assess the impact of information technology investments on productivity in the health care industry
Authors:Myung Ko  & Kweku-Muata Osei-Bryson
Affiliation:Department of Information Systems, College of Business, The University of Texas at San Antonio, San Antonio, TX 78249, USA, email: , and; Department of Information Systems and The Information Systems Research Institute, Virginia Commonwealth University, Richmond, VA 23284, USA, email:
Abstract:Abstract. This paper explores the impact of information technology (IT) investments on productivity using a new technique, multivariate adaptive regression splines (MARS). We believe that it provides additional insights on the nature of the impact of IT investments on productivity. The results from our study are compared with findings from a previous study that has also used the same data set. While the results of a previous study indicate that IT investments have a positive but uniform impact on productivity, our study suggests that the impact of IT on productivity is not uniform but is contingent on other complementary factors. Our findings describe that the complementary relationship exists between IT and non‐IT related investments. Thus, improved organizational productivity cannot be expected from investment in IT alone but only together with non‐IT investments. Our findings also point out that further investment may not necessarily bring on higher organizational productivity.
Keywords:information technology investments  productivity  regression  regression splines  data mining  MARS
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