A Reference Model of GaaP Readiness Indexes Using Systematic Review and Meta-Synthesis Method

In the traditional way of governance, people pay taxes and receive services but do not participate in government. The government creates capacity as a platform so that people can innovate in a partnership ecosystem, and the content produced is considered a national asset. This study presents a reference model for the Government as a Platform readiness index. This is a qualitative study and a systematic review of the literature in which the meta-synthesis method is used to analyze and analyze the data extracted from selected sources. Finally, and 58 out of 961 sources are selected and used for qualitative analysis and coding in the systematic review process. The articles and research studies reviewed were extracted from major scientific databases, including Google Scholar, Scopus, and Web of Science, and cover the period from 2011 to 2023 to ensure the inclusion of the most recent and relevant findings. According to code classification, there are 75 indexes, including three categories, seven themes, 32 main codes, and 33 subcodes formed into four layers and categorized into the following categories: 1- creating a change mindset and being prepared for the change, 2- being prepared for innovation, 3- being prepared for economic growth. The present research, which analyses data from more than 30 countries, indicates that there is no agreed model around the world for the government as a platform readiness index. However, each of the governments in the world, with its specific components, such as digital transformation, digital culture, budget and credits, digital privacy, and the community's digital talent, formulates a custom model to realize its Government as a Platform. Since the current model comes from the combination of the available information in this field, it can be helpful and applicable as a reference model in any country of the world world country to initiate action.