In this day and age of more advanced technology, a repetitive and time-consuming audit procedure can be done in less time with the help of an application known as Robotic procedure Automation (RPA). This RPA has the advantage of being able to read and analyze Big Data; it has been used by Big 4 KAPs and corporations as a tool to aid in the audit process. Our study investigates what factors impact RPA acceptance in KAP and audit institutions, as well as why this innovation or new idea needs to be shared in order to be accepted by other individuals or organizations. Our study is quantitative, with main data collected through the distribution of electronic questionnaires. We used partial least squares structural equation modeling to analyze the data. According to our findings, Relative Advantage has a significant effect on RPA Adoption, Trialability has a significant effect on RPA Adoption, and User-Friendliness has a large effect on RPA Adoption.

Link: Model of Innovation Diffusion for Fraud Detection Using Robotic Process Automation