An Analytics Framework for Improving Public Service Operations and Processes Towards Transparency Issues

Abstract

It is critical for a public sector to raise awareness and fight against the corruption. Among many government projects, enhancing transparency through improving public service operations and processes can be seen as one of the solutions. This study presents the lesson learnt from the transparency project performed by government agencies including selection process and criteria, selected processes, attitudes towards the project, and various obstacles and limitations in deriving the right process. These findings are synthesized and an analytics framework of public service process selection for transparency is then proposed. Such framework incorporates data analytics methodologies and techniques so that it can be further developed to build transparency in today's digital age.