ABSTRACT
The pandemic of COVID-19 had adverse impact on most of the sectors across the globe. It has shown its impact in India first in March 2020 and the government had taken various efforts to keep track of the individuals affected from this virus. The launch of Aarogya Setu mobile application for contact tracing is one such initiative. It gives a holistic view to the individuals as well as to the authorities involved. The effectiveness of this depends upon the user acceptance and usability. The chapter aims to study this by proposing a hypothesized conceptual model based on widely adopted technology acceptance model (TAM). The proposed model and four hypotheses are then tested empirically by collecting data through a self-designed survey instrument. The data analysis is done using approach structural equation modeling (SEM) in a two-step process. First, CFA is carried out and then path analysis of the proposed model is carried out. The results reveal that perceived usefulness (PU) has impact on intention to adopt the said mobile application and also ease of use impacts the PU 94of application. The researchers suggest theoretical as well as the practical implications of the study and future directions are presented at the end.
