Personal and Situational Factors as Predictors of End User Performance

Abstract

End-user computing (EUC) has the potential to enhance productivity. However, for this potential to be realized, end users must learn EUC skills and perform at high levels. Because of the significance of end user performance to organizations, it is important to uncover factors that influence end user performance. However, prior research has relied almost exclusively on person factors to predict end user performance even though several models suggest that both person and situational factors influence behavior and performance. This limitation of previous research was overcome by examining the influence of both person and situational factors on end user performance. The three person factors and four situational factors investigated in this study, together, explained almost 40% of the variance in end user performance. Suggestions to enhance end user performance are offered, and directions for future research are discussed.