Abstract
The purpose of this study was to build a Combine UTAUT-IRT Model and examine how the influence of
UTAUT factors on behavior intention, the influence of IRT factors on innovation resistance, and how the
influence of innovation resistance on behavior on intention to use digital fishery platforms. Data was
collected through online distribution of questionnaires in Jakarta, Indonesia. The number of samples
collected and used was 120 samples. The analysis technique uses SEM-PLS. The result is the performance
expectancy, effort expectancy and social factors influence the behaviour intention to use the platform,
but the facilitating condition do not. Value Barrier and Image Barrier influence innovation resistance to
use the platform, but use barrier, risk barrier, and traditional barrier do not. Then, innovation resistance
influence behaviour intention to use the platform negative and significant. The novelty of this research is
the development of the Combine UTAUT-IRT Model and for the first time tested to investigate the intention
to use a the platform. The results of this study can be the basis for the development of a digital fishery
platform that can connect fishermen and end users in a peer-to-peer manner.
Keywords