Modelling IS upgrade intention, its mediator and antecedents: a two-wave survey

Abstract

The purpose of this study is to explore key determinants and mediator that drive IS upgrade intention based on information asymmetry theory. Sample subjects for our survey were drawn from the student population of a large national technology university in Taiwan. The factors in this study were measured using five-point Likert scales adapted from existing literature. Perceived usefulness, perceived ease of use, and professional influence were measured in the first survey while the other factors were measured in the second survey 2 months later. A two-step structural equation modelling procedure was employed for statistical analysis. The empirical findings show that perceived usefulness and professional influence negatively affects upgrade intention via the full mediation of perceived uncertainty. Meanwhile, upgrade intention is negatively affected by information asymmetry. This study provides an illustrative example of how to set up an upgrade intention model based on information asymmetry theory. This study also demonstrates how different an upgrade intention model can be versus usage models such as technology acceptance model and unified theory of acceptance and use of technology in previous research.