Government Data Processing Mechanism to Support Smart City: A Bibliometric Review

Abstract

The study aims to analyze the mechanism of “government data processing in supporting smart cities.” The processing of government data collects raw data and translates it into information to create transparent, accountable, and participatory public service delivery strategies. This research was conducted in the United States, Spain, Indonesia, and Brazil. The research approach uses qualitative methods from previous review studies. The data sources in this study were taken from the Scopus database from 2012 to 2022. There are 73 articles, with the top four countries having the highest number of pieces, namely the United States, which has 11 papers, Spain has 10 articles, Indonesia has 6 articles, and Brazil has 6 articles, with the keywords “E-Government and Smart City.” Then the author compares the implementation of government data processing mechanisms in the United States, Spain, Indonesia, and Brazil. The research data analysis uses VOSviewer Software as an analytical tool to correlate data processing in government themes of information production in innovative city analysis. The results show that the development of the research “Government Data Processing in Supporting Smart City” from 2012 to 2022 has a fluctuating trend. Furthermore, this research answers that government data is divided into three dominating government process data: information management, big data, information, and communication. Government Data Processing Research in Supporting Smart City information management is seen from technology change, electronic commerce, innovation, and e-government. In contrast, big data is seen from data mining, platforms, and open data. In information and communication, it is seen in privacy, public administration, and e-participation.