A Study on the Acceptance Intention of Robotic Process Automation Using Integrated Technology Acceptance Model
Dong‐Yun Kim, Mi-Jin Moon, Joon‐Seok Kim
- Year
- 2022
- Citations
- 4
Abstract
This study related to the acceptance intention of the robotic process automation. A research model using variables such as innovative technology acceptance, perceived values and acceptance intention is developed based on UTAUT. We verified the effects of performance expectancy, effort expectancy and facilitating conditions as factors of innovative technology acceptance and functional values and Monetary values as factors of perceived values on the acceptance intention using a structural equation model. Reliability of the model was verified by Cronbach’s α coefficient and discriminant validity and model’s goodness of fit were tested by confirmatory factor analysis. As a result of this study, performance expectancy, effort expectancy and facilitating conditions of innovative technology significantly and positively acceptance affects functional and Monetary values of perceived values. Functional and Monetary values have a positive and significant effect on the acceptance intention. Effort expectancy and facilitating conditions have a positive and significant effect on the acceptance intention, but performance expectancy does not have a significant effect. This study is different from the previous studies by verifying the relationship between user acceptance of innovative technology, perceived values, and the acceptance intention in the implementation and use of robot process automation. It is expected that the results of this study will be used to establish operational strategies for the robotic process automation.
Keywords
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