Predicting computer task performance: Personal goal and self-efficacy

Abstract

Computer task performance is an essential driver of end user productivity. Recent research indicates that computer self-efficacy (CSE) is an important determinant of computer task performance. Contrary to the significant interest in understanding the role of CSE in predicting computer task performance, little attention has been given to understanding the role of personal goal (PG), which can be as powerful as or more powerful than CSE in predicting and determining computer task performance. Employing CSE and PG, the present research develops and validates a theoretical model that predicts individual computer task performance. The model was tested using PLS on data from an intensive software (Microsoft Excel) training program, in which 41 MBA students participated. Results largely support the theorized relationships of the proposed model and provide important insights on how individual motivational beliefs influence computer skill acquisition and task performance. Implications are drawn for future research and practice.