Organizational factors affecting the success of end-user computing
Journal of Management Information Systems
Factors of success for end-user computing
Communications of the ACM
What best predicts computer proficiency?
Communications of the ACM
Factors affecting computer anxiety in high school computer science students
Journal of Computers in Mathematics and Science Teaching
The importance of learning style in end-user training
MIS Quarterly
Journal of Management Information Systems
Correlates of user satisfaction with end user computing: an exploratory study
Information and Management
On end-user computing productivity: Results of controlled experiments
Information and Management
The influence of individual differences on skill in end-user computing
Journal of Management Information Systems
Predictors of learning performance in a computer-user training environment: a path-analytic study
International Journal of Human-Computer Interaction
Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Why do individuals use computer technology?: a Finnish case study
Information and Management
Understanding and measuring user competence
Information and Management
End user training: an experimental comparison of lecture versus computer-based training
Journal of End User Computing
Exploring the measurement of end user computing success
Journal of End User Computing - Special issue on end user computing: clarity, change, choice
International Journal of Human-Computer Studies
The management of end user computing
Communications of the ACM
Hi-index | 0.00 |
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.