Analysis Of The Saweria Digital Donation Platform Acceptance Using The Unified Theory Of Acceptance And Use Of Technology 2 (UTAUT2) And Task-Technology Fit (TTF)

Abstract

Digital donation platforms connect content creators with direct audience support, but sustained use requires more than favorable user attitudes. The service must also provide functions that correspond to the activities involved in sending and receiving donations. This study explains acceptance of Saweria by integrating the UTAUT2 with TTF. Data were collected through an online survey of 192 Indonesian Saweria users consisting of donors and content creators, then analyzed using PLS-SEM in SmartPLS 4. Task Characteristics and Technology Characteristics were found to strengthen TTF. Higher TTF subsequently increased Behavioral Intention, Performance Expectancy, and Effort Expectancy. Among the direct UTAUT2 predictors of Behavioral Intention, only Performance Expectancy and Habit were statistically significant, whereas Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, and Price Value were not. These findings indicate that Saweria adoption is primarily supported when the platform fits users' donation tasks, produces practical benefits, and becomes embedded in routine behavior. The integrated model therefore clarifies both the functional and behavioral mechanisms underlying acceptance of digital donation services.