Comparison of information technology adoption rates across laggards, innovators and others

It is important to predict and analyze user acceptance of information technology in order to address success and failures of technological products. The theory of reasoned action (TRA) has been used for two decades in empirical studies to predict user acceptance of information technology. Agent-based modeling (ABM) is well suited for studying user acceptance of information technology, which is an instance of contingent behavior. In this paper the research was extended on ABM of the TRA by comparing technology adoption rates across varied sections of a population. The authors discussed intention variations among laggards, innovators and the undecided sections of employees in an organization. The implementation is cost effective and easy to use in contrast to the empirical method. The results we produced corroborate the results obtained from the last few decades of empirical research in this field.