Report for Electronic Governance research and practice worldwide
Sarantis, Demetrios, Ben Dhaou, Soumaya, Kappatou, Christina, Kousantas, Nikolaos, Switters, Jon Matthew, Mureddu, Francesco, Danielsen, Frank, Lachana, Zoi, Alexopoulos, Charalampos, Psintridis, Charambos, Chatzikostas, Savvas, Tsiaousi, Giannis, Viale Pereira, Gabriela and Virkar, Shefali (2018). Report for Electronic Governance research and practice worldwide. European Commission.
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Sub-type Research report Author Sarantis, Demetrios
Ben Dhaou, Soumaya
Kappatou, Christina
Kousantas, Nikolaos
Switters, Jon Matthew
Mureddu, Francesco
Danielsen, Frank
Lachana, Zoi
Alexopoulos, Charalampos
Psintridis, Charambos
Chatzikostas, Savvas
Tsiaousi, Giannis
Viale Pereira, Gabriela
Virkar, ShefaliEditor Ronzhyn, Alexander
Wimmer, Maria A.Title Report for Electronic Governance research and practice worldwide Publication Date 2018-12 Place of Publication Online Publisher European Commission Pages 100 Language eng Abstract The expectation of more responsive and customised public services drives the demand for changes in the public sector, therefore public services need improve by adopting new technologies and approaches. Disruptive technologies enabled by Big Data and Cloud Computing can contribute to more responsive, more efficient, personalised services. Technologies like Blockchain, Augmented and Virtual Reality has potential to revolutionise provision of government services and are already changing the e-Government landscape. In this report, through literature analysis of the core e-Government topics, the authors aimed to describe and define a new emerging stage of e-Government: Government 3.0. This is done by delineating Government 3.0 from previous stages of eGovernment evolution, describing the core characteristics of the new stage, its aim and methods, and the role of different technologies aiding to achieve the goal of addressing societal problems with the help of data-driven and evidence-based decision making. The research presented in this deliverable was conducted using a three-step approach. First, the preliminary literature review allowed to describe Government 3.0 in relation to the previous stages of digital government evolution and create a basic understanding of the new stage and its properties. Then on the second step, the Government 3.0-related keywords were identified, and references were collected to measure and assess the use of the keywords in the e-Government domain. After that, the keywords were further analysed using literature review methodology to understand the level of maturity and implementation of the technology or concept within the domain. The focus of the literature review was to identify the connections between the concepts and their contribution to shaping the emerging Government 3.0 domain. The analysed concepts included disruptive technologies (Machine learning, NLP/ Sentiment analysis, Blockchain, Virtual reality, Augmented reality, Internet of Things), enabling technologies (Big, Linked and Open Data, Data Analytics, Cloud Computing, Service Modules), paradigms (Service Co-Creation, Crowdsourcing and Customised public service provision), and notable realisation of the Government 3.0 technologies (Smart City, Community Awareness Platforms, Once Only Principle, eID and e-Identity). As the result of the literature analysis, the following definition of Government 3.0 have been proposed: Government 3.0 refers to the use of disruptive technologies (AI, ML, IoT, NLP, VR, AR and big data technologies) in combination with established information and communication technologies (distributed technologies for data storage and service delivery) and the wisdom of crowd (crowdsourcing and co-creation) towards data-driven and evidence-based decision and policy making and provision of relevant smart customised public services for decision support of citizens and enterprises. The proposed definition views Government 3.0 as the result of application of new disruptive technologies in public services, recognizing that such technologies are connected to and enabled by established technologies, primarily those of big data analytics and cloud computing. Finally, the definition includes the ultimate goal for application of these technologies: datadriven and evidence-based decision and policy making and provision of smart personalised services for decision support of citizens and enterprises. Copyright Holder The Authors Copyright Year 2018 Copyright type Creative commons -
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