Exploring Factors Affecting End-user Performance of Information Systems

Abstract

Organizations continue to invest increasingly in various types of information systems implementations, such as enterprise resource planning and supply chain management systems, primarily because of the belief that these investments will lead to increased productivity for employees. A present interest has remained in forming accurate insights into how users interact with information systems to perform tasks. As an increasing number of companies have adopted enterprise resource planning systems, there is a need to understand the impact of enterprise resource planning systems on individual job performance. A fundamental question for business managers in various types of firms is how to attain better performance from end users of information systems. Information systems researchers continue to have difficulty telling managers what they need to do to achieve the highest level of performance from end users. In this paper, therefore, we conjecture that a better starting point to address this issue is to carefully identify all the important factors related to end-user performance with the aim of forming a more inclusive model. Our model has been validated and statistically tested, suggesting a more inclusive site for examining the utilization and impacts of information systems. The findings support the strength of the study model in explaining a large part of variance in user performance. The results indicate that system quality, task technology fit, and information quality are the most important factors that lead to better end-user performance.