Understanding the Antecedents to Smart Watch User’s Continuance Intention

The objective of this study was to determine the antecedents of continuance intention to use smart watch by integrating Technology Acceptance Model constructs with satisfaction and social influence. The data was collected from 159 respondents through the snowball sampling technique and was analyzed using Structural Equation Modeling. The results confirmed a significant impact of the following four factors: a) social influence, attitude towards smart watches and satisfaction on continuance intention; b) perceived usefulness and perceived ease of use on attitude; c) perceived usefulness on satisfaction; and d) perceived ease of use on perceived usefulness. The model is found to be having a moderate R²value, wherein, continuance intention to use smart watch has a 57.6% variance, attitude has a 61.5% variance, and satisfaction has a variance of 47.9%. The model also found the significant indirect effect of perceived ease of use on continuance intention, satisfaction, attitude; and perceived usefulness on continuance intention.