The Dynamics of Technology Adoption Readiness of Micro, Small, and Medium Enterprises and Affecting Characteristics: The Experience from Indonesia

The objective of this research is analysis the level of MSMEs readiness for technology adoption and analyze
the characteristics that influence technology adoption in Indonesia. The level of technology adoption for
MSMEs divided into several clusters, namely the artisinal cluster (the lowest), active cluster, dynamic
cluster, and advanced cluster (the highest). The type of data is based on the Likert scale which in principle
is a questionnaire-based survey data collection which aims to collect opinion information from MSMEs
actors related to characteristics that affect the level of readiness for technology adoption. It is found that
the majority of MSMEs actors is still in the artisinal cluster in all categories, but, some of them are already
in the advanced cluster. The contributions is managers/owners of MSMEs need to focus on variables that
can strengthen (influence) MSMEs in order to increase their clusters.