Transforming Government by Leveraging Disruptive Technologies

Abstract

<jats:p>While the public sector traditionally lags behind business in innovation, significant changes are anticipated with the broad diffusion of so-called disruptive technologies. The use of such technologies in public service, along with possible benefits, need to be well researched, and challenges be carefully discussed, analysed and evaluated. This paper applies scenario-based science and technology roadmapping to identify research and training needs in the implementation of disruptive technologies in public service. 70 experts reviewed 13 future scenarios and derived a number of research and training needs regarding internet of things, artificial intelligence, virtual and augmented reality, big data and other disruptive technologies. The identified needs serve as a starting point for a broader and more informed discussion about how such new (disruptive) technologies can be successfully deployed in the public sector - leveraging the benefits of these technologies while at the same time constraining the drawbacks affiliated with them.</jats:p>

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence

“…Along with the rapid development of ecological stations, they have gradually realized the use of Internet technology for data query and visualization, but the current monitoring platform of ecological stations is inadequate in data analysis, still lacks in data visualization, and lacks a real-time feedback mechanism for changes in station conditions [ 13 ]. It is worth noting that the data visualization in the monitoring platform of the ecological station is mostly based on the initial data collected by the equipment and instruments, which is fine from the level of real-time data presentation, but is insufficient if used for scientific research analysis, so data preprocessing is needed on this basis, and data analysis and visualization are carried out using data such as mean and median values with hourly, daily, and monthly time granularity.…”

A theoretical framework to evaluate ICT disparities and digital divides: Challenges and implications for e-government development

“…From a global perspective, the traditional approach is represented by the UN Egovernment rankingsthe E-government Development Index (EGDI) There are also various studies which aim to revisit and reframe existing benchmarking frameworks with the use of modern technologies and trends such as cloud computing, big data analytics, Internet of Things (IoT), electronic identification, social media, onestop portal strategy, etc. (Lněnička et al, 2015;Máchová and Lněnička, 2015;Máchová et al, 2018;Mohammed and Ibrahim, 2013;Wimmer et al, 2020;Yera et al, 2020). The indices constructed with specific settings and assumptions may require matching the indices with appropriate purposes (Ayanso et al, 2011).…”

“…The use of innovative technologies in the public sector moves e-government to a new stage in which machine-driven decisions are the foundation for the provision of customized services to citizens and businesses (Lachana et al, 2018;United Nations, 2018;Waseda University, 2020;Wimmer et al, 2020). Emerging infrastructures based on cloud computing provide resources for innovation processes driven by big and open linked data analytics, IoT, AI, and machine learning that aim to improve the availability and quality of online services.…”

“…From this approach, new e-services, elearning content, e-health, e-procurement, e-voting, e-management, e-democracy, etc. could help to promote advanced ICT diffusion (Barrenechea and Jenkins, 2014;Cruz-Jesus et al, 2017;Dutta and Lanvin, 2020;Máchová and Lněnička, 2015;Wimmer et al, 2020). But primarily, policy makers should concentrate on making emerging infrastructures available to all citizens.…”

“…However, society is evolving rapidly, and needs are changing accordingly. Web applications, big and open linked data coupled with growth in Artificial Intelligence (AI), machine learning, cloud computing, mobile devices, and social media affect the concept of data analytics as well as information and services delivery (Barrenechea and Jenkins, 2014;Lachana et al, 2018;Lněnička and Komárková, 2019;Oxford Insights, 2020;Wimmer et al, 2020). In addition, the convergence of developments in hardware, software, and data availability provides another way to consider the trends in ICT (United Nations, 2018).…”