Causality is critical for our understanding of user technology acceptance. However, findings regarding the causal relationship between perceived enjoyment (PE) and perceived ease of use (PEOU) are not conclusive. PE has been theorized and empirically validated as either an antecedent or a consequence of PEOU. Covariance-based methods such as the widely used Structural Equation Modeling (SEM), albeit robust in examining causal connectedness, are limited in detecting causal direction and therefore cannot provide additional evidence for one view or the other. This study provides an alternative statistical method, Cohen’s path analysis to explore causal relationship. Empirical results from two studies support that the PE&#;PEOU causal direction is stronger than the PEOU&#;PE direction for utilitarian systems.