Smart Technologies, Artificial Intelligence, Robotics, and Algorithms (STARA) Competencies During COVID-19: A Confirmatory Factor Analysis using SEM Approach

Abstract

Public sector organisations have changed to be online offices and services while the COVID-19 outbreak attacked. The transformations also shift not only the paradigm but also the working methods of public sectors into an online system requiring a capacity to use smart technologies, artificial intelligence, robotics, and algorithms (STARA). Nevertheless, the research on the issue is still rare. This paper bridging the gap by analysing a confirmatory factor of STARA competencies of public employees during COVID-19 pandemic in Indonesia. We tested twelve items that relied on STARA competencies. The research used a survey method on 305 public servants in the Province of Special Region of Jakarta. A structural equation modelling (SEM) was utilised to assess the data. An SEM analysis suggests that the twelve indicators are valid and reliable in predicting STARA competencies' constructs. Our findings may be used by the subsequent researchers in examining STARA competencies.