A Systematic Literature Review of Smart Governance

Abstract

Technology development has an impact on a wide range of aspects of life. The success of any firm depends on technology. Technology alters business processes to produce new business models in a variety of fields, including both the commercial and public sectors. In line with its development, technology became an enabler in business. The role of technology is increasingly essential in the era of digital transformation. Technology can replace traditional ways with more innovative and collaborative ways. Behind the advantages offered by technology, big challenges must be faced, such as the processing of increasingly complex and increasing data, plus the use of Artificial Intelligence (AI) poses ethical and legal challenges. Therefore, governance is needed to answer these challenges. The question that appears then is how the governance model can be used to manage business processes that are currently technology intensive. To answer this, it is necessary to study literature to find the existing models, frameworks, or smart governance architectures and how to implement them. From the literature study, no systematic research has been found that focuses on aspects of smart governance, including definitions, domains, technologies, components, and characteristics of smart governance. To answer these problems, this study conducted a Systematic Literature Review (SLR) related to smart governance. According to the research results, smart governance is the ability or capacity to carry out smart activities, whether or not using technology that supports collaboration to produce efficient decision-making. There are three main characteristics of smart governance, namely participation and partnership, collaboration, and transparency. This study also finds that there are still few models, frameworks, or architectures for smart governance. Most research has created a model, framework, or architecture for smart cities. With this fact, research on developing models, frameworks, or architectures of smart governance is still open for further research.