Advances in Industrial Engineering

Advances in Industrial Engineering

Performance Assessment of Information Technology Based on Complementary Assets Approach Using Neural Networks: Case Study in Car Parts Manufacturers

Authors
abbas Keramati
N. Mojir
V. Khatibi
Abstract
Many researches have depicted there is no significant and positive correlation between IT and firm level performance, called productivity paradox, so as successful investment on IT depends on taking into account the role of complementary assets such as business processes and organizational infrastructures. On the other hand, since there are not enough resources to invest on all these assets, the investment priorities of this context should be determined. In this paper, a novel system for performance assessment of information technology is proposed which uses neural networks to determine the investment priorities of complementary assets. To study the proposed system in practice, it is used as a decision support system to determine the investment priorities on information technology and its complementary assets for 102 Iranian car part manufacturers, so as complementary assets are ranked based on their contributions on firm performance.
Keywords
Car part manufacturers
Complementary assets
decision support system
IT Performance assessment
neural networks
Advances in Industrial Engineering
Volume 45, Issue 2 - Serial Number 1106763
نشریه مهندسی صنایع
October 2011
Pages 187-197