Expansion of digital payment adoption using task-technology fit and trust

Abstract

The rationale of the study is to a developed theoretical model that
covers significant drivers for mobile wallet adoption. In the current
study, Task-Technology fit, trust, risk, and cost construct are
empirically tested. Samples were collected using online and offline
techniques. A total of 700 samples collected from Gujarat. After
removing missing values, 479 usable were further analyzed.
Structural equation modelling techniques were used for further
analyzing the data. One of the exciting findings of the study is that
Task-Technology fit emerges one of the most significant factors,
which influence the behavioral intention of consumers to adopt
mobile wallets. Trust, risk and cost are other significant factors based
on their influencing level. The study provides a new theoretical
model in the information system's technology adoption branch.