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

Authors:
Myung Ko;Kweku-Muata Osei-Bryson
Affiliations:
Department of Information Systems and Technology Management, College of Business, The University of Texas at San Antonio, San Antonio, USA 78249;Department of Information Systems and The Information Systems Research Institute, Virginia Commonwealth University, Richmond, USA 23284
Venue:
Information Technology and Management
Year:
2008

Citing 17
Cited 3

Productivity, business profitability, and consumer surplus: three different measures of information technology value

MIS Quarterly
Paradox lost? Firm-level evidence on the returns to information systems spending

Management Science
Assessing the impact of information technology on labor productivity: a field study

Decision Support Systems - Special issue: economics of information systems
Health care information systems

Communications of the ACM
The substitution of information technology for other factors of production: a Firm Level Analysis

Management Science - Special issue: Frontier research on information systems and economics
A rule induction approach for determining the number of kanbans in a just-in-time production system

Computers and Industrial Engineering
Data mining: concepts and techniques

Data mining: concepts and techniques
Cost control and production performance enhancement by IT investment and regulation changes: evidence from the healthcare industry

Decision Support Systems
Is Neural Network a Reliable Forecaster on Earth? A MARS Query!

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Productivity of Information Systems in the Healthcare Industry

Information Systems Research
Research Report: Increasing Returns to Information Technology

Information Systems Research
Evaluation of decision trees: a multi-criteria approach

Computers and Operations Research
An exploratory study of object-oriented software component size determinants and the application of regression tree forecasting models

Information and Management
The impact of information technology on the financial performance of diversified firms

Decision Support Systems - Special issue: Economics and information systems
Exploring the characteristics of Internet security breaches that impact the market value of breached firms

Expert Systems with Applications: An International Journal
The business value of information technology and inputs substitution: the productivity paradox revisited

Decision Support Systems
Nonlinear prediction of mobile radio channels: measurements and MARS model designs

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05

Empirical research on information technology value

International Journal of Networking and Virtual Organisations
Predictive analytics in information systems research

MIS Quarterly
A comparative analysis of classification algorithms in data mining for accuracy, speed and robustness

Information Technology and Management

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.